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All publications in 2008
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Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction
Jun Zhu, Zaiqing Nie, Bo Zhang and Ji-rong Wen
Journal of Machine Learning Research, 2008


Causal Reasoning with Ancestral Graphs
Jiji Zhang
Journal of Machine Learning Research, 2008


Learning Control Knowledge for Forward Search Planning
Sung W. Yoon, Alan Fern and Robert Givan
Journal of Machine Learning Research, 2008


Multi-class Discriminant Kernel Learning via Convex Programming
Jieping Ye, Shuiwang Ji and Jianhui Chen
Journal of Machine Learning Research, 2008


Comments on the Complete Characterization of a Family of Solutions to a Generalized {\it Fisher} Criterion
Jieping Ye
Journal of Machine Learning Research, 2008


A Recursive Method for Structural Learning of Directed Acyclic Graphs
Xianchao Xie and Zhi Geng
Journal of Machine Learning Research, 2008


Regularization on Graphs with Function-adapted Diffusion Processes
Arthur D. Szlam, Mauro Maggioni and Ronald R. Coifman
Journal of Machine Learning Research, 2008


Incremental Identification of Qualitative Models of Biological Systems using Inductive Logic Programming
Ashwin Srinivasan and Ross D. King
Journal of Machine Learning Research, 2008


Complete Identification Methods for the Causal Hierarchy
Ilya Shpitser and Judea Pearl
Journal of Machine Learning Research, 2008


A Tutorial on Conformal Prediction
Glenn Shafer and Vladimir Vovk
Journal of Machine Learning Research, 2008


Cross-Validation Optimization for Large Scale Structured Classification Kernel Methods
Matthias W. Seeger
Journal of Machine Learning Research, 2008


Bayesian Inference and Optimal Design for the Sparse Linear Model
Matthias W. Seeger
Journal of Machine Learning Research, 2008


Ranking Categorical Features Using Generalization Properties
Sivan Sabato and Shai Shalev-shwartz
Journal of Machine Learning Research, 2008


Linear-Time Computation of Similarity Measures for Sequential Data
Konrad Rieck and Pavel Laskov
Journal of Machine Learning Research, 2008


Using Markov Blankets for Causal Structure Learning
Jean-philippe Pellet and André Elisseeff
Journal of Machine Learning Research, 2008


Theoretical Advantages of Lenient Learners: An Evolutionary Game Theoretic Perspective
Liviu Panait, Karl Tuyls and Sean Luke
Journal of Machine Learning Research, 2008


Finite-Time Bounds for Fitted Value Iteration
Rémi Munos and Csaba Szepesvári
Journal of Machine Learning Research, 2008


Evidence Contrary to the Statistical View of Boosting
David Mease and Abraham J. Wyner
Journal of Machine Learning Research, 2008


Learning Similarity with Operator-valued Large-margin Classifiers
Andreas Maurer
Journal of Machine Learning Research, 2008


Hit Miss Networks with Applications to Instance Selection
Elena Marchiori
Journal of Machine Learning Research, 2008


Maximal Causes for Non-linear Component Extraction
Jörg Lücke and Maneesh Sahani
Journal of Machine Learning Research, 2008


Aggregation of SVM Classifiers Using Sobolev Spaces
Sébastien Loustau
Journal of Machine Learning Research, 2008


Trust Region Newton Method for Logistic Regression
Chih-jen Lin, Ruby C. Weng and S. S. Keerthi
Journal of Machine Learning Research, 2008


Support Vector Machinery for Infinite Ensemble Learning
Hsuan-tien Lin and Ling Li
Journal of Machine Learning Research, 2008


Generalization from Observed to Unobserved Features by Clustering
Eyal Krupka and Naftali Tishby
Journal of Machine Learning Research, 2008


Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies
Andreas Krause, Ajit P. Singh and Carlos Guestrin
Journal of Machine Learning Research, 2008


A Bahadur Representation of the Linear Support Vector Machine
Ja-yong Koo, Yoonkyung Lee, Yuwon Kim and Changyi Park
Journal of Machine Learning Research, 2008


A Library for Locally Weighted Projection Regression
Stefan Klanke, Sethu Vijayakumar and Stefan Schaal
Journal of Machine Learning Research, 2008


A Multiple Instance Learning Strategy for Combating Good Word Attacks on Spam Filters
Zach Jorgensen, Yan Zhou and W. M. Inge
Journal of Machine Learning Research, 2008


Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers
Bo Jiang, Xuegong Zhang and Tianxi Cai
Journal of Machine Learning Research, 2008


Shark
Christian Igel, Verena Heidrich-meisner and Tobias Glasmachers
Journal of Machine Learning Research, 2008


Laplace maximum margin Markov networks
Jun Zhu, Eric P. Xing and Bo Zhang
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Efficient multiclass maximum margin clustering
Bin Zhao, Fei Wang and Chang-shui Zhang
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Improved Nystr{\&}ouml;m low-rank approximation and error analysis
Kai Zhang, Ivor W. Tsang and James T. Kwok
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Estimating local optimums in EM algorithm over Gaussian mixture model
Zhenjie Zhang, Bing T. Dai and Anthony Tung
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Predicting diverse subsets using structural SVMs
Yisong Yue and Thorsten Joachims
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


A quasi-Newton approach to non-smooth convex optimization
Jin Yu, Simon Günter, Nicol N. Schraudolph and S.v.n. Vishwanathan
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Preconditioned temporal difference learning
Hengshuai Yao and Zhi-qiang Liu
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Democratic approximation of lexicographic preference models
Fusun Yaman, Thomas J. Walsh, Michael L. Littman and Marie Desjardins
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Listwise approach to learning to rank: theory and algorithm
Fen Xia, Tie-yan Liu, Jue Wang, Wensheng Zhang and Hang Li
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Fully distributed EM for very large datasets
Jason Wolfe, Aria Haghighi and Dan Klein
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Efficiently learning linear-linear exponential family predictive representations of state
David Wingate and Satinder P. Singh
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Deep learning via semi-supervised embedding
Jason Weston, Frédéric Ratle and Ronan Collobert
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Fast solvers and efficient implementations for distance metric learning
Kilian Q. Weinberger and Lawrence K. Saul
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


On multi-view active learning and the combination with semi-supervised learning
Wei Wang and Zhi-hua Zhou
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Adaptive p-posterior mixture-model kernels for multiple instance learning
Hua-yan Wang, Qiang Yang and Hongbin Zha
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Dirichlet component analysis: feature extraction for compositional data
Hua-yan Wang, Qiang Yang, Hong Qin and Hongbin Zha
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Manifold alignment using Procrustes analysis
Chang Wang and Sridhar Mahadevan
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Graph transduction via alternating minimization
Jun Wang, Tony Jebara and Shih-fu Chang
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Sparse multiscale gaussian process regression
Christian Walder, Kwang I. Kim and Bernhard Schölkopf
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Prediction with expert advice for the Brier game
Vladimir Vovk and Fedor Zhdanov
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Extracting and composing robust features with denoising autoencoders
Pascal Vincent, Hugo Larochelle, Yoshua Bengio and Pierre-antoine Manzagol
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Topologically-constrained latent variable models
Raquel Urtasun, David J. Fleet, Andreas Geiger, Jovan Popovic, Trevor Darrell and Neil D. Lawrence
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


A semiparametric statistical approach to model-free policy evaluation
Tsuyoshi Ueno, Motoaki Kawanabe, Takeshi Mori, Shin-ichi Maeda and Shin Ishii
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Training restricted Boltzmann machines using approximations to the likelihood gradient
Tijmen Tieleman
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


{\it nu}-support vector machine as conditional value-at-risk minimization
Akiko Takeda and Masashi Sugiyama
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


The many faces of optimism: a unifying approach
Istvan Szita and András Lörincz
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Composite kernel learning
Marie Szafranski, Yves Grandvalet and Alain Rakotomamonjy
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Apprenticeship learning using linear programming
Umar Syed, Michael H. Bowling and Robert E. Schapire
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


A least squares formulation for canonical correlation analysis
Liang Sun, Shuiwang Ji and Jieping Ye
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Discriminative parameter learning for Bayesian networks
Jiang Su, Harry Zhang, Charles X. Ling and Stan Matwin
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Metric embedding for kernel classification rules
Bharath K. Sriperumbudur, Omer A. Lang and Gert R. Lanckriet
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Detecting statistical interactions with additive groves of trees
Daria Sorokina, Rich Caruana, Mirek Riedewald and Daniel Fink
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Tailoring density estimation via reproducing kernel moment matching
Le Song, Xinhua Zhang, Alex J. Smola, Arthur Gretton and Bernhard Schölkopf
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


The asymptotics of semi-supervised learning in discriminative probabilistic models
Nataliya Sokolovska, Olivier Cappé and Françcois Yvon
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


An RKHS for multi-view learning and manifold co-regularization
Vikas Sindhwani and David S. Rosenberg
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Sample-based learning and search with permanent and transient memories
David Silver, Richard S. Sutton and Martin Müller
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Expectation-maximization for sparse and non-negative PCA
Christian D. Sigg and Joachim M. Buhmann
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


{\it mStruct}: a new admixture model for inference of population structure in light of both genetic admixing and allele mutations
Suyash Shringarpure and Eric P. Xing
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


A generalization of Haussler's convolution kernel: mapping kernel
Kilho Shin and Tetsuji Kuboyama
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Data spectroscopy: learning mixture models using eigenspaces of convolution operators
Tao Shi, Mikhail Belkin and Bin Yu
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


SVM optimization: inverse dependence on training set size
Shai Shalev-shwartz and Nathan Srebro
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Multi-classification by categorical features via clustering
Yevgeny Seldin and Naftali Tishby
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Compressed sensing and Bayesian experimental design
Hannes Nickisch and Matthias Seeger
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Inverting the Viterbi algorithm: an abstract framework for structure design
Michael Schnall-levin, Leonid Chindelevitch and Bonnie Berger
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Fast incremental proximity search in large graphs
Purnamrita Sarkar, Andrew W. Moore and Amit Prakash
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Accurate max-margin training for structured output spaces
Sunita Sarawagi and Rahul Gupta
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Bayesian probabilistic matrix factorization using Markov chain Monte Carlo
Ruslan Salakhutdinov and Andriy Mnih
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


On the quantitative analysis of deep belief networks
Ruslan Salakhutdinov and Iain Murray
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Privacy-preserving reinforcement learning
Jun Sakuma, Shigenobu Kobayashi and Rebecca N. Wright
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Robust matching and recognition using context-dependent kernels
Hichem Sahbi, Jean-yves Audibert, Jaonary Rabarisoa and Renaud Keriven
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


The Group-Lasso for generalized linear models: uniqueness of solutions and efficient algorithms
Volker Roth and Bernd Fischer
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Bi-level path following for cross validated solution of kernel quantile regression
Saharon Rosset
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Closed-form supervised dimensionality reduction with generalized linear models
Irina Rish, Genady Grabarnik, Guillermo A. Cecchi, Francisco Pereira and Geoffrey J. Gordon
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


The dynamic hierarchical Dirichlet process
Lu Ren, David B. Dunson and Lawrence Carin
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Online kernel selection for Bayesian reinforcement learning
Joseph Reisinger, Peter Stone and Risto Miikkulainen
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Bayesian multiple instance learning: automatic feature selection and inductive transfer
Vikas C. Raykar, Balaji Krishnapuram, Jinbo Bi, Murat Dundar and R. B. Rao
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Message-passing for graph-structured linear programs: proximal projections, convergence and rounding schemes
Pradeep D. Ravikumar, Alekh Agarwal and Martin J. Wainwright
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Semi-supervised learning of compact document representations with deep networks
Marc'aurelio Ranzato and Martin Szummer
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Learning diverse rankings with multi-armed bandits
Filip Radlinski, Thorsten Joachims and Robert D. Kleinberg
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Estimating labels from label proportions
Novi Quadrianto, Alex J. Smola, Tibério S. Caetano and Quoc V. Le
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Multi-task compressive sensing with Dirichlet process priors
Yuting Qi, Dehong Liu, David B. Dunson and Lawrence Carin
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Learning to learn implicit queries from gaze patterns
Kai Puolamäki, Antti Ajanki and Samuel Kaski
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


An analysis of linear models, linear value-function approximation, and feature selection for reinforcement learning
Ronald Parr, Lihong Li, Gavin Taylor, Christopher Painter-wakefield and Michael L. Littman
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


On the chance accuracies of large collections of classifiers
Mark Palatucci and Andrew Carlson
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


A distance model for rhythms
Jean-françcois Paiement, Yves Grandvalet, Samy Bengio and Douglas Eck
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Learning dissimilarities by ranking: from SDP to QP
Hua Ouyang and Alexander G. Gray
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


The projectron: a bounded kernel-based Perceptron
Francesco Orabona, Joseph Keshet and Barbara Caputo
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Cost-sensitive multi-class classification from probability estimates
Deirdre B. O'brien, Robert M. Gray and Maya Gupta
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


A decoupled approach to exemplar-based unsupervised learning
Sebastian Nowozin and Gökhan H. Bakir
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Bayes optimal classification for decision trees
Siegfried Nijssen
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


On the hardness of finding symmetries in Markov decision processes
Shravan M. Narayanamurthy and Balaraman Ravindran
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Empirical Bernstein stopping
Volodymyr Mnih, Csaba Szepesvári and Jean-yves Audibert
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


An analysis of reinforcement learning with function approximation
Francisco S. Melo, Sean P. Meyn and M. I. Ribeiro
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Rank minimization via online learning
Raghu Meka, Prateek Jain, Constantine Caramanis and Inderjit S. Dhillon
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Automatic discovery and transfer of MAXQ hierarchies
Neville Mehta, Soumya Ray, Prasad Tadepalli and Thomas G. Dietterich
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Nonextensive entropic kernels
André Martins, Mário Figueiredo, Pedro Aguiar, Noah A. Smith and Eric P. Xing
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


On-line discovery of temporal-difference networks
Takaki Makino and Toshihisa Takagi
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Uncorrelated multilinear principal component analysis through successive variance maximization
Haiping Lu, Konstantinos N. Plataniotis and Anastasios N. Venetsanopoulos
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


A reproducing kernel Hilbert space framework for pairwise time series distances
Zhengdong Lu, Todd K. Leen, Yonghong Huang and Deniz Erdogmus
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Random classification noise defeats all convex potential boosters
Philip M. Long and Rocco Servedio
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


ManifoldBoost: stagewise function approximation for fully-, semi- and un-supervised learning
Nicolas Loeff, David A. Forsyth and Deepak Ramachandran
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


An asymptotic analysis of generative, discriminative, and pseudolikelihood estimators
Percy Liang and Michael I. Jordan
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Structure compilation: trading structure for features
Percy Liang, Dan Klein and Hal Daume
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Knows what it knows: a framework for self-aware learning
Lihong Li, Michael L. Littman and Thomas J. Walsh
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Pairwise constraint propagation by semidefinite programming for semi-supervised classification
Zhenguo Li, Jianzhuang Liu and Xiaoou Tang
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


A worst-case comparison between temporal difference and residual gradient with linear function approximation
Lihong Li
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Local likelihood modeling of temporal text streams
Guy Lebanon and Yang Zhao
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Transfer of samples in batch reinforcement learning
Alessandro Lazaric, Marcello Restelli and Andrea Bonarini
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Classification using discriminative restricted Boltzmann machines
Hugo Larochelle and Yoshua Bengio
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Exploration scavenging
John Langford, Alexander L. Strehl and Jennifer Wortman
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Modeling interleaved hidden processes
Niels Landwehr
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Query-level stability and generalization in learning to rank
Yanyan Lan, Tie-yan Liu, Tao Qin, Zhiming Ma and Hang Li
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Fast estimation of first-order clause coverage through randomization and maximum likelihood
Ondrej Kuzelka and Filip Zelezn\'y
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Efficiently solving convex relaxations for MAP estimation
M. P. Kumar and Philip Torr
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


The skew spectrum of graphs
Risi Kondor and Karsten M. Borgwardt
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Space-indexed dynamic programming: learning to follow trajectories
J. Z. Kolter, Adam Coates, Andrew Y. Ng, Yi Gu and Charles Duhadway
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


On partial optimality in multi-label MRFs
Pushmeet Kohli, Alexander Shekhovtsov, Carsten Rother, Vladimir Kolmogorov and Philip Torr
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Unsupervised rank aggregation with distance-based models
Alexandre Klementiev, Dan Roth and Kevin Small
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


ICA and ISA using Schweizer-Wolff measure of dependence
Sergey Kirshner and Barnabás Póczos
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Non-parametric policy gradients: a unified treatment of propositional and relational domains
Kristian Kersting and Kurt Driessens
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Large scale manifold transduction
Michael Karlen, Jason Weston, Ayse Erkan and Ronan Collobert
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Efficient bandit algorithms for online multiclass prediction
Sham M. Kakade, Shai Shalev-shwartz and Ambuj Tewari
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Causal modelling combining instantaneous and lagged effects: an identifiable model based on non-Gaussianity
Aapo Hyvärinen, Shohei Shimizu and Patrik O. Hoyer
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Discriminative structure and parameter learning for Markov logic networks
Tuyen N. Huynh and Raymond J. Mooney
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


A dual coordinate descent method for large-scale linear SVM
Cho-jui Hsieh, Kai-wei Chang, Chih-jen Lin, S. S. Keerthi and S. Sundararajan
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Active kernel learning
Rong Jin and Steven C. Hoi
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Statistical models for partial membership
Katherine A. Heller, Sinead Williamson and Zoubin Ghahramani
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Modified MMI/MPE: a direct evaluation of the margin in speech recognition
Georg Heigold, Thomas Deselaers, Ralf Schlüter and Hermann Ney
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Grassmann discriminant analysis: a unifying view on subspace-based learning
Jihun Ham and Daniel D. Lee
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Boosting with incomplete information
Gholamreza Haffari, Yang Wang, Shaojun Wang, Greg Mori and Feng Jiao
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


No-regret learning in convex games
Geoffrey J. Gordon, Amy Greenwald and Casey Marks
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Localized multiple kernel learning
Mehmet Gönen and Ethem Alpaydin
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Memory bounded inference in topic models
Max Welling, Pietro Perona and Ryan G. Gomes
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Beam sampling for the infinite hidden Markov model
Jurgen V. Gael, Yunus Saatci, Yee W. Teh and Zoubin Ghahramani
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Reinforcement learning in the presence of rare events
Jordan Frank, Shie Mannor and Doina Precup
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Optimized cutting plane algorithm for support vector machines
Vojtech Franc and Sören Sonnenburg
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Stopping conditions for exact computation of leave-one-out error in support vector machines
Vojtech Franc, Pavel Laskov and Klaus-robert Müller
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


An HDP-HMM for systems with state persistence
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan and Alan S. Willsky
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Training structural SVMs when exact inference is intractable
Thomas Finley and Thorsten Joachims
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Active reinforcement learning
Arkady Epshteyn, Adam Vogel and Gerald Dejong
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Polyhedral classifier for target detection: a case study: colorectal cancer
Murat Dundar, Matthias Wolf, Sarang Lakare, Marcos Salganicoff and Vikas C. Raykar
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Pointwise exact bootstrap distributions of cost curves
Charles Dugas and David Gadoury
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Efficient projections onto the {\it l}$_{\mbox{1}}$-ball for learning in high dimensions
John C. Duchi, Shai Shalev-shwartz, Yoram Singer and Tushar Chandra
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Confidence-weighted linear classification
Mark Dredze, Koby Crammer and Fernando Pereira
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Reinforcement learning with limited reinforcement: using Bayes risk for active learning in POMDPs
Finale Doshi, Joelle Pineau and Nicholas Roy
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Optimizing estimated loss reduction for active sampling in rank learning
Pinar Donmez and Jaime G. Carbonell
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


An object-oriented representation for efficient reinforcement learning
Carlos Diuk, Andre Cohen and Michael L. Littman
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Learning from incomplete data with infinite imputations
Uwe Dick, Peter Haider and Tobias Scheffer
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Maximum likelihood rule ensembles
Wojciech Kotlowski, Roman Slowinski and Krzysztof J. Dembczynski
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Learning to classify with missing and corrupted features
Ofer Dekel and Ohad Shamir
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Hierarchical sampling for active learning
Sanjoy Dasgupta and Daniel J. Hsu
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Self-taught clustering
Wenyuan Dai, Qiang Yang, Gui-rong Xue and Yong Yu
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Fast Gaussian process methods for point process intensity estimation
John P. Cunningham, Krishna V. Shenoy and Maneesh Sahani
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


A rate-distortion one-class model and its applications to clustering
Koby Crammer, Partha P. Talukdar and Fernando Pereira
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Stability of transductive regression algorithms
Corinna Cortes, Mehryar Mohri, Dmitry Pechyony and Ashish Rastogi
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Autonomous geometric precision error estimation in low-level computer vision tasks
Andrés Corrada-emmanuel and Howard J. Schultz
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


A unified architecture for natural language processing: deep neural networks with multitask learning
Ronan Collobert and Jason Weston
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Spectral clustering with inconsistent advice
Tom Coleman, James Saunderson and Anthony Wirth
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Learning for control from multiple demonstrations
Adam Coates, Pieter Abbeel and Andrew Y. Ng
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Training SVM with indefinite kernels
Jianhui Chen and Jieping Ye
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Learning to sportscast: a test of grounded language acquisition
David L. Chen and Raymond J. Mooney
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Nearest hyperdisk methods for high-dimensional classification
Hakan Cevikalp, Bill Triggs and Robi Polikar
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Fast nearest neighbor retrieval for bregman divergences
Lawrence Cayton
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Fast support vector machine training and classification on graphics processors
Bryan C. Catanzaro, Narayanan Sundaram and Kurt Keutzer
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


An empirical evaluation of supervised learning in high dimensions
Rich Caruana, Nikolaos Karampatziakis and Ainur Yessenalina
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Sparse Bayesian nonparametric regression
Francois Caron and Arnaud Doucet
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Actively learning level-sets of composite functions
Brent Bryan and Jeff G. Schneider
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Strategy evaluation in extensive games with importance sampling
Michael H. Bowling, Michael Johanson, Neil Burch and Duane Szafron
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Nonnegative matrix factorization via rank-one downdate
Michael Biggs, Ali Ghodsi and Stephen A. Vavasis
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Multi-task learning for HIV therapy screening
Steffen Bickel, Jasmina Bogojeska, Thomas Lengauer and Tobias Scheffer
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Multiple instance ranking
Charles Bergeron, Jed Zaretzki, Curt M. Breneman and Kristin P. Bennett
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Learning all optimal policies with multiple criteria
Leon Barrett and Srini Narayanan
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Bolasso: model consistent Lasso estimation through the bootstrap
Francis R. Bach
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Graph kernels between point clouds
Francis R. Bach
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Hierarchical kernel stick-breaking process for multi-task image analysis
Qi An, Chunping Wang, Ivo Shterev, Eric Wang, Lawrence Carin and David B. Dunson
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Sequence kernels for predicting protein essentiality
Cyril Allauzen, Mehryar Mohri and Ameet Talwalkar
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Gaussian process product models for nonparametric nonstationarity
Ryan P. Adams and Oliver Stegle
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Active Learning by Spherical Subdivision
Falk-florian Henrich and Klaus Obermayer
Journal of Machine Learning Research, 2008


Accelerated Neural Evolution through Cooperatively Coevolved Synapses
Faustino J. Gomez, Jürgen Schmidhuber and Risto Miikkulainen
Journal of Machine Learning Research, 2008


Manifold Learning: The Price of Normalization
Yair Goldberg, Alon Zakai, Dan Kushnir and Yaacov Ritov
Journal of Machine Learning Research, 2008


Closed Sets for Labeled Data
Gemma C. Garriga, Petra Kralj and Nada Lavrac
Journal of Machine Learning Research, 2008


Discriminative Learning of Max-Sum Classifiers
Vojtech Franc and Bogdan Savchynskyy
Journal of Machine Learning Research, 2008


LIBLINEAR: A Library for Large Linear Classification
Rong-en Fan, Kai-wei Chang, Cho-jui Hsieh, Xiang-rui Wang and Chih-jen Lin
Journal of Machine Learning Research, 2008


Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models
Mathias Drton and Thomas S. Richardson
Journal of Machine Learning Research, 2008


Optimal Solutions for Sparse Principal Component Analysis
Alexandre D'aspremont, Laurent E. Ghaoui and Francis R. Bach
Journal of Machine Learning Research, 2008


A New Algorithm for Estimating the Effective Dimension-Reduction Subspace
Arnak S. Dalalyan, Anatoli Juditsky and Vladimir Spokoiny
Journal of Machine Learning Research, 2008


Value Function Based Reinforcement Learning in Changing Markovian Environments
Balázs C. Csáji and László Monostori
Journal of Machine Learning Research, 2008


Learning from Multiple Sources
Koby Crammer, Michael Kearns and Jennifer Wortman
Journal of Machine Learning Research, 2008


Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2
Giorgio Corani and Marco Zaffalon
Journal of Machine Learning Research, 2008


Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Michael Collins, Amir Globerson, Terry Koo, Xavier Carreras and Peter L. Bartlett
Journal of Machine Learning Research, 2008


An Information Criterion for Variable Selection in Support Vector Machines
Gerda Claeskens, Christophe Croux and Johan V. Kerckhoven
Journal of Machine Learning Research, 2008


Search for Additive Nonlinear Time Series Causal Models
Tianjiao Chu and Clark Glymour
Journal of Machine Learning Research, 2008


Bouligand Derivatives and Robustness of Support Vector Machines for Regression
Andreas Christmann and Arnout V. Messem
Journal of Machine Learning Research, 2008


Learning to Combine Motor Primitives Via Greedy Additive Regression
Manu Chhabra and Robert A. Jacobs
Journal of Machine Learning Research, 2008


Graphical Models for Structured Classification, with an Application to Interpreting Images of Protein Subcellular Location Patterns
Shann-ching Chen, Geoffrey J. Gordon and Robert F. Murphy
Journal of Machine Learning Research, 2008


Max-margin Classification of Data with Absent Features
Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbeel and Daphne Koller
Journal of Machine Learning Research, 2008


Optimization Techniques for Semi-Supervised Support Vector Machines
Olivier Chapelle, Vikas Sindhwani and S. S. Keerthi
Journal of Machine Learning Research, 2008


Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines
Kai-wei Chang, Cho-jui Hsieh and Chih-jen Lin
Journal of Machine Learning Research, 2008


Universal Multi-Task Kernels
Andrea Caponnetto, Charles A. Micchelli, Massimiliano Pontil and Yiming Ying
Journal of Machine Learning Research, 2008


On the Suitable Domain for SVM Training in Image Coding
Gustavo Camps-valls, Juan Gutierrez, Gabriel Gómez-pérez and Jesus Malo
Journal of Machine Learning Research, 2008


On Relevant Dimensions in Kernel Feature Spaces
Mikio L. Braun, Joachim M. Buhmann and Klaus-robert Müller
Journal of Machine Learning Research, 2008


Consistency of Random Forests and Other Averaging Classifiers
Gérard Biau, Luc Devroye and Gábor Lugosi
Journal of Machine Learning Research, 2008


Learning Balls of Strings from Edit Corrections
Leonor Becerra-bonache, Colin Higuera, Jean-christophe Janodet and Frédéric Tantini
Journal of Machine Learning Research, 2008


Nearly Uniform Validation Improves Compression-Based Error Bounds
Eric Bax
Journal of Machine Learning Research, 2008


An Error Bound Based on a Worst Likely Assignment
Eric Bax and Augusto Callejas
Journal of Machine Learning Research, 2008


Classification with a Reject Option using a Hinge Loss
Peter L. Bartlett and Marten H. Wegkamp
Journal of Machine Learning Research, 2008


Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data
Onureena Banerjee, Laurent E. Ghaoui and Alexandre D'aspremont
Journal of Machine Learning Research, 2008


Algorithms for Sparse Linear Classifiers in the Massive Data Setting
Suhrid Balakrishnan and David Madigan
Journal of Machine Learning Research, 2008


Consistency of the Group Lasso and Multiple Kernel Learning
Francis R. Bach
Journal of Machine Learning Research, 2008


Consistency of Trace Norm Minimization
Francis R. Bach
Journal of Machine Learning Research, 2008


Online Learning of Complex Prediction Problems Using Simultaneous Projections
Yonatan Amit, Shai Shalev-shwartz and Yoram Singer
Journal of Machine Learning Research, 2008


Mixed Membership Stochastic Blockmodels
Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg and Eric P. Xing
Journal of Machine Learning Research, 2008


Online Prediction on Large Diameter Graphs
Mark Herbster, Guy Lever and Massimiliano Pontil
Advances in Neural Information Processing Systems 21, 2008


Shared Segmentation of Natural Scenes Using Dependent Pitman-Yor Processes
Erik B. Sudderth and Michael I. Jordan
Advances in Neural Information Processing Systems 21, 2008


An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering
Dilan Gorur and Yee W. Teh
Advances in Neural Information Processing Systems 21, 2008


Generative versus discriminative training of RBMs for classification of fMRI images
Tanya Schmah, Geoffrey E. Hinton, Steven L. Small, Stephen Strother and Richard S. Zemel
Advances in Neural Information Processing Systems 21, 2008


Resolution Limits of Sparse Coding in High Dimensions
Sundeep Rangan, Vivek Goyal and Alyson K. Fletcher
Advances in Neural Information Processing Systems 21, 2008


QUIC-SVD: Fast SVD Using Cosine Trees
Michael P. Holmes, Jr. Isbell, Charles Lee and Alexander G. Gray
Advances in Neural Information Processing Systems 21, 2008


Online Metric Learning and Fast Similarity Search
Prateek Jain, Brian Kulis, Inderjit S. Dhillon and Kristen Grauman
Advances in Neural Information Processing Systems 21, 2008


Dependent Dirichlet Process Spike Sorting
Jan Gasthaus, Frank Wood, Dilan Gorur and Yee W. Teh
Advances in Neural Information Processing Systems 21, 2008


Improving on Expectation Propagation
Manfred Opper, Ulrich Paquet and Ole Winther
Advances in Neural Information Processing Systems 21, 2008


Skill Characterization Based on Betweenness
Ozgur Simsek and Andre S. Barreto
Advances in Neural Information Processing Systems 21, 2008


DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
Simon Lacoste-julien, Fei Sha and Michael I. Jordan
Advances in Neural Information Processing Systems 21, 2008


Clusters and Coarse Partitions in LP Relaxations
David Sontag, Amir Globerson and Tommi S. Jaakkola
Advances in Neural Information Processing Systems 21, 2008


One sketch for all: Theory and Application of Conditional Random Sampling
Ping Li, Kenneth W. Church and Trevor J. Hastie
Advances in Neural Information Processing Systems 21, 2008


Sparse probabilistic projections
Cédric Archambeau and Francis R. Bach
Advances in Neural Information Processing Systems 21, 2008


Regularized Co-Clustering with Dual Supervision
Vikas Sindhwani, Jianying Hu and Aleksandra Mojsilovic
Advances in Neural Information Processing Systems 21, 2008


Sparse Signal Recovery Using Markov Random Fields
Volkan Cevher, Marco F. Duarte, Chinmay Hegde and Richard Baraniuk
Advances in Neural Information Processing Systems 21, 2008


An improved estimator of Variance Explained in the presence of noise
Ralf M. Haefner and Bruce G. Cumming
Advances in Neural Information Processing Systems 21, 2008


Model selection and velocity estimation using novel priors for motion patterns
Shuang Wu, Hongjing Lu and Alan L. Yuille
Advances in Neural Information Processing Systems 21, 2008


Bounding Performance Loss in Approximate MDP Homomorphisms
Jonathan Taylor, Doina Precup and Prakash Panagaden
Advances in Neural Information Processing Systems 21, 2008


Artificial Olfactory Brain for Mixture Identification
Mehmet K. Muezzinoglu, Alexander Vergara, Ramon Huerta, Thomas Nowotny, Nikolai Rulkov, Henry Abarbanel, Allen Selverston and Mikhail Rabinovich
Advances in Neural Information Processing Systems 21, 2008


Privacy-preserving logistic regression
Kamalika Chaudhuri and Claire Monteleoni
Advances in Neural Information Processing Systems 21, 2008


Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images
Vincent Q. Vu, Bin Yu, Thomas Naselaris, Kendrick Kay, Jack Gallant and Pradeep K. Ravikumar
Advances in Neural Information Processing Systems 21, 2008


Regularized Learning with Networks of Features
Ted Sandler, John Blitzer, Partha P. Talukdar and Lyle H. Ungar
Advances in Neural Information Processing Systems 21, 2008


The Infinite Hierarchical Factor Regression Model
Piyush Rai and Hal Daume
Advances in Neural Information Processing Systems 21, 2008


Bounds on marginal probability distributions
Joris M. Mooij and Hilbert J. Kappen
Advances in Neural Information Processing Systems 21, 2008


Support Vector Machines with a Reject Option
Yves Grandvalet, Alain Rakotomamonjy, Joseph Keshet and Stéphane Canu
Advances in Neural Information Processing Systems 21, 2008


Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of \boldmath$\ell_1$-regularized MLE
Garvesh Raskutti, Bin Yu, Martin J. Wainwright and Pradeep K. Ravikumar
Advances in Neural Information Processing Systems 21, 2008


Implicit Mixtures of Restricted Boltzmann Machines
Vinod Nair and Geoffrey E. Hinton
Advances in Neural Information Processing Systems 21, 2008


Semi-supervised Learning with Weakly-Related Unlabeled Data : Towards Better Text Categorization
Liu Yang, Rong Jin and Rahul Sukthankar
Advances in Neural Information Processing Systems 21, 2008


A Scalable Hierarchical Distributed Language Model
Andriy Mnih and Geoffrey E. Hinton
Advances in Neural Information Processing Systems 21, 2008


Online Models for Content Optimization
Deepak Agarwal, Bee-chung Chen, Pradheep Elango, Nitin Motgi, Seung-taek Park, Raghu Ramakrishnan, Scott Roy and Joe Zachariah
Advances in Neural Information Processing Systems 21, 2008


Fast Computation of Posterior Mode in Multi-Level Hierarchical Models
Liang Zhang and Deepak Agarwal
Advances in Neural Information Processing Systems 21, 2008


Phase transitions for high-dimensional joint support recovery
Sahand Negahban and Martin J. Wainwright
Advances in Neural Information Processing Systems 21, 2008


Psychiatry: Insights into depression through normative decision-making models
Quentin J. Huys, Joshua Vogelstein and Peter Dayan
Advances in Neural Information Processing Systems 21, 2008


Bio-inspired Real Time Sensory Map Realignment in a Robotic Barn Owl
Juan Huo, Zhijun Yang and Alan F. Murray
Advances in Neural Information Processing Systems 21, 2008


Unlabeled data: Now it helps, now it doesn't
Aarti Singh, Robert Nowak and Xiaojin Zhu
Advances in Neural Information Processing Systems 21, 2008


Performance analysis for L\_2 kernel classification
Jooseuk Kim and Clayton Scott
Advances in Neural Information Processing Systems 21, 2008


Predicting the Geometry of Metal Binding Sites from Protein Sequence
Paolo Frasconi and Andrea Passerini
Advances in Neural Information Processing Systems 21, 2008


Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning
Ali Rahimi and Benjamin Recht
Advances in Neural Information Processing Systems 21, 2008


Probabilistic detection of short events, with application to critical care monitoring
Norm Aleks, Stuart Russell, Michael G. Madden, Diane Morabito, Kristan Staudenmayer, Mitchell Cohen and Geoffrey T. Manley
Advances in Neural Information Processing Systems 21, 2008


Multi-Agent Filtering with Infinitely Nested Beliefs
Luke Zettlemoyer, Brian Milch and Leslie P. Kaelbling
Advances in Neural Information Processing Systems 21, 2008


Gates
Tom Minka and John Winn
Advances in Neural Information Processing Systems 21, 2008


Inferring rankings under constrained sensing
Srikanth Jagabathula and Devavrat Shah
Advances in Neural Information Processing Systems 21, 2008


Differentiable Sparse Coding
J. A. Bagnell and David M. Bradley
Advances in Neural Information Processing Systems 21, 2008


Regularized Policy Iteration
Amir M. Farahmand, Mohammad Ghavamzadeh, Shie Mannor and Csaba Szepesvári
Advances in Neural Information Processing Systems 21, 2008


High-dimensional support union recovery in multivariate regression
Guillaume R. Obozinski, Martin J. Wainwright and Michael I. Jordan
Advances in Neural Information Processing Systems 21, 2008


Characterizing response behavior in multisensory perception with conflicting cues
Rama Natarajan, Iain Murray, Ladan Shams and Richard S. Zemel
Advances in Neural Information Processing Systems 21, 2008


Supervised Exponential Family Principal Component Analysis via Convex Optimization
Yuhong Guo
Advances in Neural Information Processing Systems 21, 2008


Estimating the Location and Orientation of Complex, Correlated Neural Activity using MEG
Julia Owen, Hagai T. Attias, Kensuke Sekihara, Srikantan S. Nagarajan and David P. Wipf
Advances in Neural Information Processing Systems 21, 2008


Human Active Learning
Rui M. Castro, Charles Kalish, Robert Nowak, Ruichen Qian, Tim Rogers and Xiaojin Zhu
Advances in Neural Information Processing Systems 21, 2008


Characterizing neural dependencies with copula models
Pietro Berkes, Frank Wood and Jonathan W. Pillow
Advances in Neural Information Processing Systems 21, 2008


Kernel Measures of Independence for non-iid Data
Xinhua Zhang, Le Song, Arthur Gretton and Alex J. Smola
Advances in Neural Information Processing Systems 21, 2008


A Convex Upper Bound on the Log-Partition Function for Binary Distributions
Laurent E. Ghaoui and Assane Gueye
Advances in Neural Information Processing Systems 21, 2008


The Mondrian Process
Daniel M. Roy and Yee W. Teh
Advances in Neural Information Processing Systems 21, 2008


Analyzing human feature learning as nonparametric Bayesian inference
Thomas L. Griffiths and Joseph L. Austerweil
Advances in Neural Information Processing Systems 21, 2008


Predictive Indexing for Fast Search
Sharad Goel, John Langford and Alexander L. Strehl
Advances in Neural Information Processing Systems 21, 2008


Relative Margin Machines
Tony Jebara and Pannagadatta K. Shivaswamy
Advances in Neural Information Processing Systems 21, 2008


Bayesian Network Score Approximation using a Metagraph Kernel
Benjamin Yackley, Eduardo Corona and Terran Lane
Advances in Neural Information Processing Systems 21, 2008


Grouping Contours Via a Related Image
Praveen Srinivasan, Liming Wang and Jianbo Shi
Advances in Neural Information Processing Systems 21, 2008


Learning Taxonomies by Dependence Maximization
Matthew Blaschko and Arthur Gretton
Advances in Neural Information Processing Systems 21, 2008


Counting Solution Clusters in Graph Coloring Problems Using Belief Propagation
Lukas Kroc, Ashish Sabharwal and Bart Selman
Advances in Neural Information Processing Systems 21, 2008


Fast Prediction on a Tree
Mark Herbster, Massimiliano Pontil and Sergio R. Galeano
Advances in Neural Information Processing Systems 21, 2008


Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction
Shay B. Cohen, Kevin Gimpel and Noah A. Smith
Advances in Neural Information Processing Systems 21, 2008


Estimating Robust Query Models with Convex Optimization
Kevyn Collins-thompson
Advances in Neural Information Processing Systems 21, 2008


Spectral Hashing
Yair Weiss, Antonio Torralba and Rob Fergus
Advances in Neural Information Processing Systems 21, 2008


Deep Learning with Kernel Regularization for Visual Recognition
Kai Yu, Wei Xu and Yihong Gong
Advances in Neural Information Processing Systems 21, 2008


Kernel-ARMA for Hand Tracking and Brain-Machine interfacing During 3D Motor Control
Lavi Shpigelman, Hagai Lalazar and Eilon Vaadia
Advances in Neural Information Processing Systems 21, 2008


Risk Bounds for Randomized Sample Compressed Classifiers
Mohak Shah
Advances in Neural Information Processing Systems 21, 2008


Supervised Dictionary Learning
Julien Mairal, Jean Ponce, Guillermo Sapiro, Andrew Zisserman and Francis R. Bach
Advances in Neural Information Processing Systems 21, 2008


Multi-Level Active Prediction of Useful Image Annotations for Recognition
Sudheendra Vijayanarasimhan and Kristen Grauman
Advances in Neural Information Processing Systems 21, 2008


Clustering via LP-based Stabilities
Nikos Komodakis, Nikos Paragios and Georgios Tziritas
Advances in Neural Information Processing Systems 21, 2008


Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text
Yi Zhang, Artur Dubrawski and Jeff G. Schneider
Advances in Neural Information Processing Systems 21, 2008


Asynchronous Distributed Learning of Topic Models
Padhraic Smyth, Max Welling and Arthur U. Asuncion
Advances in Neural Information Processing Systems 21, 2008


Structure Learning in Human Sequential Decision-Making
Daniel Acuna and Paul R. Schrater
Advances in Neural Information Processing Systems 21, 2008


Estimation of Information Theoretic Measures for Continuous Random Variables
Fernando Pérez-cruz
Advances in Neural Information Processing Systems 21, 2008


Spectral Clustering with Perturbed Data
Ling Huang, Donghui Yan, Nina Taft and Michael I. Jordan
Advances in Neural Information Processing Systems 21, 2008


Bayesian Exponential Family PCA
Shakir Mohamed, Zoubin Ghahramani and Katherine A. Heller
Advances in Neural Information Processing Systems 21, 2008


Adaptive Template Matching with Shift-Invariant Semi-NMF
Jonathan L. Roux, Alain D. Cheveigné and Lucas C. Parra
Advances in Neural Information Processing Systems 21, 2008


Transfer Learning by Distribution Matching for Targeted Advertising
Steffen Bickel, Christoph Sawade and Tobias Scheffer
Advances in Neural Information Processing Systems 21, 2008


Influence of graph construction on graph-based clustering measures
Markus Maier, Ulrike V. Luxburg and Matthias Hein
Advances in Neural Information Processing Systems 21, 2008


Tighter Bounds for Structured Estimation
Olivier Chapelle, Chuong B. Do, Choon H. Teo, Quoc V. Le and Alex J. Smola
Advances in Neural Information Processing Systems 21, 2008


Multi-resolution Exploration in Continuous Spaces
Ali Nouri and Michael L. Littman
Advances in Neural Information Processing Systems 21, 2008


An Online Algorithm for Maximizing Submodular Functions
Matthew Streeter and Daniel Golovin
Advances in Neural Information Processing Systems 21, 2008


A rational model of preference learning and choice prediction by children
Christopher G. Lucas, Thomas L. Griffiths, Fei Xu and Christine Fawcett
Advances in Neural Information Processing Systems 21, 2008


Sequential effects: Superstition or rational behavior?
Angela J. Yu and Jonathan D. Cohen
Advances in Neural Information Processing Systems 21, 2008


Mortal Multi-Armed Bandits
Deepayan Chakrabarti, Ravi Kumar, Filip Radlinski and Eli Upfal
Advances in Neural Information Processing Systems 21, 2008


Extended Grassmann Kernels for Subspace-Based Learning
Jihun Hamm and Daniel D. Lee
Advances in Neural Information Processing Systems 21, 2008


Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms
John W. Roberts and Russ Tedrake
Advances in Neural Information Processing Systems 21, 2008


Modeling human function learning with Gaussian processes
Thomas L. Griffiths, Chris Lucas, Joseph Williams and Michael L. Kalish
Advances in Neural Information Processing Systems 21, 2008


Unsupervised Learning of Visual Sense Models for Polysemous Words
Kate Saenko and Trevor Darrell
Advances in Neural Information Processing Systems 21, 2008


MAS: a multiplicative approximation scheme for probabilistic inference
Ydo Wexler and Christopher Meek
Advances in Neural Information Processing Systems 21, 2008


Efficient Sampling for Gaussian Process Inference using Control Variables
Neil D. Lawrence, Magnus Rattray and Michalis K. Titsias
Advances in Neural Information Processing Systems 21, 2008


Learning Hybrid Models for Image Annotation with Partially Labeled Data
Xuming He and Richard S. Zemel
Advances in Neural Information Processing Systems 21, 2008


Non-parametric Regression Between Manifolds
Florian Steinke and Matthias Hein
Advances in Neural Information Processing Systems 21, 2008


Unifying the Sensory and Motor Components of Sensorimotor Adaptation
Adrian Haith, Carl P. Jackson, R. C. Miall and Sethu Vijayakumar
Advances in Neural Information Processing Systems 21, 2008


Fitted Q-iteration by Advantage Weighted Regression
Gerhard Neumann and Jan R. Peters
Advances in Neural Information Processing Systems 21, 2008


Robust Regression and Lasso
Huan Xu, Constantine Caramanis and Shie Mannor
Advances in Neural Information Processing Systems 21, 2008


A ``Shape Aware'' Model for semi-supervised Learning of Objects and its Context
Abhinav Gupta, Jianbo Shi and Larry S. Davis
Advances in Neural Information Processing Systems 21, 2008


Clustered Multi-Task Learning: A Convex Formulation
Laurent Jacob, Jean-philippe Vert and Francis R. Bach
Advances in Neural Information Processing Systems 21, 2008


A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning
Massih Amini, Nicolas Usunier and François Laviolette
Advances in Neural Information Processing Systems 21, 2008


Evaluating probabilities under high-dimensional latent variable models
Iain Murray and Ruslan Salakhutdinov
Advances in Neural Information Processing Systems 21, 2008


Stochastic Relational Models for Large-scale Dyadic Data using MCMC
Shenghuo Zhu, Kai Yu and Yihong Gong
Advances in Neural Information Processing Systems 21, 2008


A spatially varying two-sample recombinant coalescent, with applications to HIV escape response
Alexander Braunstein, Zhi Wei, Shane T. Jensen and Jon D. Mcauliffe
Advances in Neural Information Processing Systems 21, 2008


Learning with Consistency between Inductive Functions and Kernels
Haixuan Yang, Irwin King and Michael Lyu
Advances in Neural Information Processing Systems 21, 2008


MCBoost: Multiple Classifier Boosting for Perceptual Co-clustering of Images and Visual Features
Tae-kyun Kim and Roberto Cipolla
Advances in Neural Information Processing Systems 21, 2008


The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction
Fabian H. Sinz and Matthias Bethge
Advances in Neural Information Processing Systems 21, 2008


Fast Rates for Regularized Objectives
Karthik Sridharan, Shai Shalev-shwartz and Nathan Srebro
Advances in Neural Information Processing Systems 21, 2008


Particle Filter-based Policy Gradient in POMDPs
Pierre-arnaud Coquelin, Romain Deguest and Rémi Munos
Advances in Neural Information Processing Systems 21, 2008


Designing neurophysiology experiments to optimally constrain receptive field models along parametric submanifolds
Jeremy Lewi, Robert Butera, David M. Schneider, Sarah Woolley and Liam Paninski
Advances in Neural Information Processing Systems 21, 2008


Simple Local Models for Complex Dynamical Systems
Erik Talvitie and Satinder P. Singh
Advances in Neural Information Processing Systems 21, 2008


Nonrigid Structure from Motion in Trajectory Space
Ijaz Akhter, Yaser Sheikh, Sohaib Khan and Takeo Kanade
Advances in Neural Information Processing Systems 21, 2008


Bayesian Experimental Design of Magnetic Resonance Imaging Sequences
Hannes Nickisch, Rolf Pohmann, Bernhard Schölkopf and Matthias Seeger
Advances in Neural Information Processing Systems 21, 2008


Generative and Discriminative Learning with Unknown Labeling Bias
Steven J. Phillips and Miroslav Dudík
Advances in Neural Information Processing Systems 21, 2008


Biasing Approximate Dynamic Programming with a Lower Discount Factor
Marek Petrik and Bruno Scherrer
Advances in Neural Information Processing Systems 21, 2008


Kernel Change-point Analysis
Za\"ıd Harchaoui, Eric Moulines and Francis R. Bach
Advances in Neural Information Processing Systems 21, 2008


On Bootstrapping the ROC Curve
Patrice Bertail, Stéphan J. Clémençcon and Nicolas Vayatis
Advances in Neural Information Processing Systems 21, 2008


PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning
Chunhua Shen, Alan Welsh and Lei Wang
Advances in Neural Information Processing Systems 21, 2008


On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost
Hamed Masnadi-shirazi and Nuno Vasconcelos
Advances in Neural Information Processing Systems 21, 2008


The Recurrent Temporal Restricted Boltzmann Machine
Ilya Sutskever, Geoffrey E. Hinton and Graham W. Taylor
Advances in Neural Information Processing Systems 21, 2008


Overlaying classifiers: a practical approach for optimal ranking
Stéphan J. Clémençcon and Nicolas Vayatis
Advances in Neural Information Processing Systems 21, 2008


Breaking Audio CAPTCHAs
Jennifer Tam, Jiri Simsa, Sean Hyde and Luis V. Ahn
Advances in Neural Information Processing Systems 21, 2008


Playing Pinball with non-invasive BCI
Matthias Krauledat, Konrad Grzeska, Max Sagebaum, Benjamin Blankertz, Carmen Vidaurre, Klaus-robert Müller and Michael Schröder
Advances in Neural Information Processing Systems 21, 2008


Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform
Guangzhi Cao and Charles Bouman
Advances in Neural Information Processing Systems 21, 2008


Online Optimization in X-Armed Bandits
Sébastien Bubeck, Gilles Stoltz, Csaba Szepesvári and Rémi Munos
Advances in Neural Information Processing Systems 21, 2008


Kernelized Sorting
Novi Quadrianto, Le Song and Alex J. Smola
Advances in Neural Information Processing Systems 21, 2008


Empirical performance maximization for linear rank statistics
Stéphan J. Clémençcon and Nicolas Vayatis
Advances in Neural Information Processing Systems 21, 2008


Diffeomorphic Dimensionality Reduction
Christian Walder and Bernhard Schölkopf
Advances in Neural Information Processing Systems 21, 2008


Using Bayesian Dynamical Systems for Motion Template Libraries
Silvia Chiappa, Jens Kober and Jan R. Peters
Advances in Neural Information Processing Systems 21, 2008


Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes
Ben Calderhead, Mark Girolami and Neil D. Lawrence
Advances in Neural Information Processing Systems 21, 2008


Global Ranking Using Continuous Conditional Random Fields
Tao Qin, Tie-yan Liu, Xu-dong Zhang, De-sheng Wang and Hang Li
Advances in Neural Information Processing Systems 21, 2008


A mixture model for the evolution of gene expression in non-homogeneous datasets
Gerald Quon, Yee W. Teh, Esther Chan, Timothy Hughes, Michael Brudno and Quaid D. Morris
Advances in Neural Information Processing Systems 21, 2008


ICA based on a Smooth Estimation of the Differential Entropy
Lev Faivishevsky and Jacob Goldberger
Advances in Neural Information Processing Systems 21, 2008


An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis
Gabriele Schweikert, Gunnar Rätsch, Christian K. Widmer and Bernhard Schölkopf
Advances in Neural Information Processing Systems 21, 2008


Finding Latent Causes in Causal Networks: an Efficient Approach Based on Markov Blankets
Jean-philippe Pellet and André Elisseeff
Advances in Neural Information Processing Systems 21, 2008


On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization
Sham M. Kakade, Karthik Sridharan and Ambuj Tewari
Advances in Neural Information Processing Systems 21, 2008


On the Reliability of Clustering Stability in the Large Sample Regime
Ohad Shamir and Naftali Tishby
Advances in Neural Information Processing Systems 21, 2008


Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models
Tong Zhang
Advances in Neural Information Processing Systems 21, 2008


Multi-stage Convex Relaxation for Learning with Sparse Regularization
Tong Zhang
Advances in Neural Information Processing Systems 21, 2008


Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm
Andrew Smith, Hongyuan Zha and Xiao-ming Wu
Advances in Neural Information Processing Systems 21, 2008


Understanding Brain Connectivity Patterns during Motor Imagery for Brain-Computer Interfacing
Moritz Grosse-wentrup
Advances in Neural Information Processing Systems 21, 2008


Exact Convex Confidence-Weighted Learning
Koby Crammer, Mark Dredze and Fernando Pereira
Advances in Neural Information Processing Systems 21, 2008


Characteristic Kernels on Groups and Semigroups
Kenji Fukumizu, Arthur Gretton, Bernhard Schölkopf and Bharath K. Sriperumbudur
Advances in Neural Information Processing Systems 21, 2008


Algorithms for Infinitely Many-Armed Bandits
Yizao Wang, Jean-yves Audibert and Rémi Munos
Advances in Neural Information Processing Systems 21, 2008


Improved Moves for Truncated Convex Models
Philip Torr and M. P. Kumar
Advances in Neural Information Processing Systems 21, 2008


Non-stationary dynamic Bayesian networks
Joshua W. Robinson and Alexander J. Hartemink
Advances in Neural Information Processing Systems 21, 2008


Optimization on a Budget: A Reinforcement Learning Approach
Paul L. Ruvolo, Ian Fasel and Javier R. Movellan
Advances in Neural Information Processing Systems 21, 2008


Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM
Kentaro Katahira, Jun Nishikawa, Kazuo Okanoya and Masato Okada
Advances in Neural Information Processing Systems 21, 2008


Multi-task Gaussian Process Learning of Robot Inverse Dynamics
Christopher Williams, Stefan Klanke, Sethu Vijayakumar and Kian M. Chai
Advances in Neural Information Processing Systems 21, 2008


Efficient Inference in Phylogenetic InDel Trees
Alexandre Bouchard-côté, Dan Klein and Michael I. Jordan
Advances in Neural Information Processing Systems 21, 2008


Temporal Difference Based Actor Critic Learning - Convergence and Neural Implementation
Dotan D. Castro, Dmitry Volkinshtein and Ron Meir
Advances in Neural Information Processing Systems 21, 2008


Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation
Indraneel Mukherjee and David M. Blei
Advances in Neural Information Processing Systems 21, 2008


Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks
Alex Graves and Jürgen Schmidhuber
Advances in Neural Information Processing Systems 21, 2008


A Convergent $O(n)$ Temporal-difference Algorithm for Off-policy Learning with Linear Function Approximation
Richard S. Sutton, Hamid R. Maei and Csaba Szepesvári
Advances in Neural Information Processing Systems 21, 2008


Rademacher Complexity Bounds for Non-I.I.D. Processes
Mehryar Mohri and Afshin Rostamizadeh
Advances in Neural Information Processing Systems 21, 2008


Efficient Exact Inference in Planar Ising Models
Nicol N. Schraudolph and Dmitry Kamenetsky
Advances in Neural Information Processing Systems 21, 2008


Cell Assemblies in Large Sparse Inhibitory Networks of Biologically Realistic Spiking Neurons
Adam Ponzi and Jeff Wickens
Advances in Neural Information Processing Systems 21, 2008


Measures of Clustering Quality: A Working Set of Axioms for Clustering
Shai Ben-david and Margareta Ackerman
Advances in Neural Information Processing Systems 21, 2008


Modeling the effects of memory on human online sentence processing with particle filters
Roger P. Levy, Florencia Reali and Thomas L. Griffiths
Advances in Neural Information Processing Systems 21, 2008


Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity
Byron M. Yu, John P. Cunningham, Gopal Santhanam, Stephen I. Ryu, Krishna V. Shenoy and Maneesh Sahani
Advances in Neural Information Processing Systems 21, 2008


Scalable Algorithms for String Kernels with Inexact Matching
Pavel P. Kuksa, Pai-hsi Huang and Vladimir Pavlovic
Advances in Neural Information Processing Systems 21, 2008


Hierarchical Fisher Kernels for Longitudinal Data
Zhengdong Lu, Jeffrey Kaye and Todd K. Leen
Advances in Neural Information Processing Systems 21, 2008


A computational model of hippocampal function in trace conditioning
Elliot A. Ludvig, Richard S. Sutton, Eric Verbeek and E. J. Kehoe
Advances in Neural Information Processing Systems 21, 2008


MDPs with Non-Deterministic Policies
Mahdi M. Fard and Joelle Pineau
Advances in Neural Information Processing Systems 21, 2008


Shape-Based Object Localization for Descriptive Classification
Geremy Heitz, Gal Elidan, Benjamin Packer and Daphne Koller
Advances in Neural Information Processing Systems 21, 2008


Short-Term Depression in VLSI Stochastic Synapse
Peng Xu, Timothy K. Horiuchi and Pamela A. Abshire
Advances in Neural Information Processing Systems 21, 2008


Near-minimax recursive density estimation on the binary hypercube
Maxim Raginsky, Svetlana Lazebnik, Rebecca Willett and Jorge Silva
Advances in Neural Information Processing Systems 21, 2008


Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance
Jeremy Hill, Jason Farquhar, Suzanna Martens, Felix Biessmann and Bernhard Schölkopf
Advances in Neural Information Processing Systems 21, 2008


A general framework for investigating how far the decoding process in the brain can be simplified
Masafumi Oizumi, Toshiyuki Ishii, Kazuya Ishibashi, Toshihiko Hosoya and Masato Okada
Advances in Neural Information Processing Systems 21, 2008


Large Margin Taxonomy Embedding for Document Categorization
Kilian Q. Weinberger and Olivier Chapelle
Advances in Neural Information Processing Systems 21, 2008


Reconciling Real Scores with Binary Comparisons: A New Logistic Based Model for Ranking
Nir Ailon
Advances in Neural Information Processing Systems 21, 2008


Multiscale Random Fields with Application to Contour Grouping
Longin J. Latecki, Chengen Lu, Marc Sobel and Xiang Bai
Advances in Neural Information Processing Systems 21, 2008


Nonparametric regression and classification with joint sparsity constraints
Han Liu, Larry Wasserman and John D. Lafferty
Advances in Neural Information Processing Systems 21, 2008


Syntactic Topic Models
Jordan L. Boyd-graber and David M. Blei
Advances in Neural Information Processing Systems 21, 2008


Theory of matching pursuit
Zakria Hussain and John S. Shawe-taylor
Advances in Neural Information Processing Systems 21, 2008


Nonparametric Bayesian Learning of Switching Linear Dynamical Systems
Emily B. Fox, Erik B. Sudderth, Alan S. Willsky, Michael I. Jordan and Alan S. Willsky
Advances in Neural Information Processing Systems 21, 2008


Learning a discriminative hidden part model for human action recognition
Yang Wang and Greg Mori
Advances in Neural Information Processing Systems 21, 2008


Integrating Locally Learned Causal Structures with Overlapping Variables
David Danks, Clark Glymour and Robert E. Tillman
Advances in Neural Information Processing Systems 21, 2008


Posterior Consistency of the Silverman g-prior in Bayesian Model Choice
Zhihua Zhang, Michael I. Jordan and Dit-yan Yeung
Advances in Neural Information Processing Systems 21, 2008


Correlated Bigram LSA for Unsupervised Language Model Adaptation
Yik-cheung Tam and Tanja Schultz
Advances in Neural Information Processing Systems 21, 2008


On the asymptotic equivalence between differential Hebbian and temporal difference learning using a local third factor
Christoph Kolodziejski, Bernd Porr, Minija Tamosiunaite and Florentin Wörgötter
Advances in Neural Information Processing Systems 21, 2008


On the Generalization Ability of Online Strongly Convex Programming Algorithms
Sham M. Kakade and Ambuj Tewari
Advances in Neural Information Processing Systems 21, 2008


Supervised Bipartite Graph Inference
Yoshihiro Yamanishi
Advances in Neural Information Processing Systems 21, 2008


Localized Sliced Inverse Regression
Qiang Wu, Sayan Mukherjee and Feng Liang
Advances in Neural Information Processing Systems 21, 2008


Sparse Online Learning via Truncated Gradient
John Langford, Lihong Li and Tong Zhang
Advances in Neural Information Processing Systems 21, 2008


Hebbian Learning of Bayes Optimal Decisions
Bernhard Nessler, Michael Pfeiffer and Wolfgang Maass
Advances in Neural Information Processing Systems 21, 2008


How memory biases affect information transmission: A rational analysis of serial reproduction
Jing Xu and Thomas L. Griffiths
Advances in Neural Information Processing Systems 21, 2008


Sparsity of SVMs that use the epsilon-insensitive loss
Ingo Steinwart and Andreas Christmann
Advances in Neural Information Processing Systems 21, 2008


Adapting to a Market Shock: Optimal Sequential Market-Making
Sanmay Das and Malik Magdon-ismail
Advances in Neural Information Processing Systems 21, 2008


Fast High-dimensional Kernel Summations Using the Monte Carlo Multipole Method
Dongryeol Lee and Alexander G. Gray
Advances in Neural Information Processing Systems 21, 2008


Nonlinear causal discovery with additive noise models
Patrik O. Hoyer, Dominik Janzing, Joris M. Mooij, Jonas R. Peters and Bernhard Schölkopf
Advances in Neural Information Processing Systems 21, 2008


Using matrices to model symbolic relationship
Ilya Sutskever and Geoffrey E. Hinton
Advances in Neural Information Processing Systems 21, 2008


Automatic online tuning for fast Gaussian summation
Vlad I. Morariu, Balaji V. Srinivasan, Vikas C. Raykar, Ramani Duraiswami and Larry S. Davis
Advances in Neural Information Processing Systems 21, 2008


Temporal Dynamics of Cognitive Control
Jeremy Reynolds and Michael C. Mozer
Advances in Neural Information Processing Systems 21, 2008


Optimal Response Initiation: Why Recent Experience Matters
Matt Jones, Sachiko Kinoshita and Michael C. Mozer
Advances in Neural Information Processing Systems 21, 2008


Structured ranking learning using cumulative distribution networks
Jim C. Huang and Brendan J. Frey
Advances in Neural Information Processing Systems 21, 2008


Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree
Daphna Weinshall, Hynek Hermansky, Alon Zweig, Jie Luo, Holly Jimison, Frank Ohl and Misha Pavel
Advances in Neural Information Processing Systems 21, 2008


On the Efficient Minimization of Classification Calibrated Surrogates
Richard Nock and Frank Nielsen
Advances in Neural Information Processing Systems 21, 2008


Near-optimal Regret Bounds for Reinforcement Learning
Peter Auer, Thomas Jaksch and Ronald Ortner
Advances in Neural Information Processing Systems 21, 2008


The Gaussian Process Density Sampler
Iain Murray, David Mackay and Ryan P. Adams
Advances in Neural Information Processing Systems 21, 2008


Bayesian Synchronous Grammar Induction
Phil Blunsom, Trevor Cohn and Miles Osborne
Advances in Neural Information Processing Systems 21, 2008


Local Gaussian Process Regression for Real Time Online Model Learning
Duy Nguyen-tuong, Jan R. Peters and Matthias Seeger
Advances in Neural Information Processing Systems 21, 2008


On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing
Benjamin Schrauwen, Lars Buesing and Robert A. Legenstein
Advances in Neural Information Processing Systems 21, 2008


Learning Transformational Invariants from Natural Movies
Charles Cadieu and Bruno A. Olshausen
Advances in Neural Information Processing Systems 21, 2008


Domain Adaptation with Multiple Sources
Yishay Mansour, Mehryar Mohri and Afshin Rostamizadeh
Advances in Neural Information Processing Systems 21, 2008


Deflation Methods for Sparse PCA
Lester W. Mackey
Advances in Neural Information Processing Systems 21, 2008


From Online to Batch Learning with Cutoff-Averaging
Ofer Dekel
Advances in Neural Information Processing Systems 21, 2008


Mind the Duality Gap: Logarithmic regret algorithms for online optimization
Shai Shalev-shwartz and Sham M. Kakade
Advances in Neural Information Processing Systems 21, 2008


A Massively Parallel Digital Learning Processor
Hans P. Graf, Srihari Cadambi, Venkata Jakkula, Murugan Sankaradass, Eric Cosatto, Srimat Chakradhar and Igor Dourdanovic
Advances in Neural Information Processing Systems 21, 2008


Partially Observed Maximum Entropy Discrimination Markov Networks
Jun Zhu, Eric P. Xing and Bo Zhang
Advances in Neural Information Processing Systems 21, 2008


Robust Kernel Principal Component Analysis
Minh H. Nguyen and Fernando Torre
Advances in Neural Information Processing Systems 21, 2008


Bayesian Kernel Shaping for Learning Control
Jo-anne Ting, Mrinal Kalakrishnan, Sethu Vijayakumar and Stefan Schaal
Advances in Neural Information Processing Systems 21, 2008


An Homotopy Algorithm for the Lasso with Online Observations
Pierre Garrigues and Laurent E. Ghaoui
Advances in Neural Information Processing Systems 21, 2008


Self-organization using synaptic plasticity
Vicençc Gómez, Andreas Kaltenbrunner, Vicente López and Hilbert J. Kappen
Advances in Neural Information Processing Systems 21, 2008


Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning
Francis R. Bach
Advances in Neural Information Processing Systems 21, 2008


Sparse Convolved Gaussian Processes for Multi-output Regression
Mauricio Alvarez and Neil D. Lawrence
Advances in Neural Information Processing Systems 21, 2008


Learning Bounded Treewidth Bayesian Networks
Gal Elidan and Stephen Gould
Advances in Neural Information Processing Systems 21, 2008


Modeling Short-term Noise Dependence of Spike Counts in Macaque Prefrontal Cortex
Arno Onken, Steffen Grünewälder, Matthias Munk and Klaus Obermayer
Advances in Neural Information Processing Systems 21, 2008


Linear Classification and Selective Sampling Under Low Noise Conditions
Giovanni Cavallanti, Nicolò Cesa-bianchi and Claudio Gentile
Advances in Neural Information Processing Systems 21, 2008


Continuously-adaptive discretization for message-passing algorithms
Michael Isard, John Maccormick and Kannan Achan
Advances in Neural Information Processing Systems 21, 2008


Dimensionality Reduction for Data in Multiple Feature Representations
Yen-yu Lin, Tyng-luh Liu and Chiou-shann Fuh
Advances in Neural Information Processing Systems 21, 2008


Dependence of Orientation Tuning on Recurrent Excitation and Inhibition in a Network Model of V1
Klaus Wimmer, Marcel Stimberg, Robert Martin, Lars Schwabe, Jorge Mariño, James Schummers, David C. Lyon, Mriganka Sur and Klaus Obermayer
Advances in Neural Information Processing Systems 21, 2008


An Extended Level Method for Efficient Multiple Kernel Learning
Zenglin Xu, Rong Jin, Irwin King and Michael Lyu
Advances in Neural Information Processing Systems 21, 2008


Dynamic visual attention: searching for coding length increments
Xiaodi Hou and Liqing Zhang
Advances in Neural Information Processing Systems 21, 2008


Efficient Direct Density Ratio Estimation for Non-stationarity Adaptation and Outlier Detection
Takafumi Kanamori, Shohei Hido and Masashi Sugiyama
Advances in Neural Information Processing Systems 21, 2008


An ideal observer model of infant object perception
Charles Kemp and Fei Xu
Advances in Neural Information Processing Systems 21, 2008


Multi-label Multiple Kernel Learning
Shuiwang Ji, Liang Sun, Rong Jin and Jieping Ye
Advances in Neural Information Processing Systems 21, 2008


Recursive Segmentation and Recognition Templates for 2D Parsing
Leo Zhu, Yuanhao Chen, Yuan Lin, Chenxi Lin and Alan L. Yuille
Advances in Neural Information Processing Systems 21, 2008


Reducing statistical dependencies in natural signals using radial Gaussianization
Siwei Lyu and Eero P. Simoncelli
Advances in Neural Information Processing Systems 21, 2008


Interpreting the neural code with Formal Concept Analysis
Dominik Endres and Peter Foldiak
Advances in Neural Information Processing Systems 21, 2008


Stress, noradrenaline, and realistic prediction of mouse behaviour using reinforcement learning
Carmen Sandi, Wulfram Gerstner and Gediminas Lukšys
Advances in Neural Information Processing Systems 21, 2008


The Infinite Factorial Hidden Markov Model
Jurgen V. Gael, Yee W. Teh and Zoubin Ghahramani
Advances in Neural Information Processing Systems 21, 2008


Adaptive Martingale Boosting
Phil Long and Rocco Servedio
Advances in Neural Information Processing Systems 21, 2008


Tracking Changing Stimuli in Continuous Attractor Neural Networks
K. Wong, Si Wu and Chi Fung
Advances in Neural Information Processing Systems 21, 2008


Translated Learning: Transfer Learning across Different Feature Spaces
Wenyuan Dai, Yuqiang Chen, Gui-rong Xue, Qiang Yang and Yong Yu
Advances in Neural Information Processing Systems 21, 2008


Variational Mixture of Gaussian Process Experts
Chao Yuan and Claus Neubauer
Advances in Neural Information Processing Systems 21, 2008


Learning to Use Working Memory in Partially Observable Environments through Dopaminergic Reinforcement
Michael T. Todd, Yael Niv and Jonathan D. Cohen
Advances in Neural Information Processing Systems 21, 2008


Bayesian Model of Behaviour in Economic Games
Debajyoti Ray, Brooks King-casas, P. R. Montague and Peter Dayan
Advances in Neural Information Processing Systems 21, 2008


Mixed Membership Stochastic Blockmodels
Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg and Eric P. Xing
Advances in Neural Information Processing Systems 21, 2008


Policy Search for Motor Primitives in Robotics
Jens Kober and Jan R. Peters
Advances in Neural Information Processing Systems 21, 2008


Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data
Tran T. Truyen, Dinh Phung, Hung Bui and Svetha Venkatesh
Advances in Neural Information Processing Systems 21, 2008


Cascaded Classification Models: Combining Models for Holistic Scene Understanding
Geremy Heitz, Stephen Gould, Ashutosh Saxena and Daphne Koller
Advances in Neural Information Processing Systems 21, 2008


Robust Near-Isometric Matching via Structured Learning of Graphical Models
Alex J. Smola, Julian J. Mcauley and Tibério S. Caetano
Advances in Neural Information Processing Systems 21, 2008


Look Ma, No Hands: Analyzing the Monotonic Feature Abstraction for Text Classification
Doug Downey and Oren Etzioni
Advances in Neural Information Processing Systems 21, 2008


Cyclizing Clusters via Zeta Function of a Graph
Deli Zhao and Xiaoou Tang
Advances in Neural Information Processing Systems 21, 2008


Load and Attentional Bayes
Peter Dayan
Advances in Neural Information Processing Systems 21, 2008


Goal-directed decision making in prefrontal cortex: a computational framework
Matthew Botvinick and James An
Advances in Neural Information Processing Systems 21, 2008


Natural Image Denoising with Convolutional Networks
Viren Jain and Sebastian Seung
Advances in Neural Information Processing Systems 21, 2008


Spike Feature Extraction Using Informative Samples
Zhi Yang, Qi Zhao and Wentai Liu
Advances in Neural Information Processing Systems 21, 2008


Estimating vector fields using sparse basis field expansions
Stefan Haufe, Vadim V. Nikulin, Andreas Ziehe, Klaus-robert Müller and Guido Nolte
Advances in Neural Information Processing Systems 21, 2008


An interior-point stochastic approximation method and an L1-regularized delta rule
Peter Carbonetto, Mark Schmidt and Nando D. Freitas
Advances in Neural Information Processing Systems 21, 2008