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Measuring model complexity with the prior predictive
Wolf Vanpaemel
Advances in Neural Information Processing Systems 22, 2009


Bilinear classifiers for visual recognition
Hamed Pirsiavash, Deva Ramanan and Charless C. Fowlkes
Advances in Neural Information Processing Systems 22, 2009


White Functionals for Anomaly Detection in Dynamical Systems
Marco Cuturi, Jean-philippe Vert and Alexandre D'aspremont
Advances in Neural Information Processing Systems 22, 2009


Help or Hinder: Bayesian Models of Social Goal Inference
Tomer Ullman, Chris Baker, Owen Macindoe, Owain Evans, Noah Goodman and Joshua B. Tenenbaum
Advances in Neural Information Processing Systems 22, 2009


Solving Stochastic Games
Liam M. Dermed and Charles L. Isbell
Advances in Neural Information Processing Systems 22, 2009


Submanifold density estimation
Arkadas Ozakin and Alexander G. Gray
Advances in Neural Information Processing Systems 22, 2009


Unsupervised feature learning for audio classification using convolutional deep belief networks
Honglak Lee, Peter Pham, Yan Largman and Andrew Y. Ng
Advances in Neural Information Processing Systems 22, 2009


Compositionality of optimal control laws
Emanuel Todorov
Advances in Neural Information Processing Systems 22, 2009


Periodic Step Size Adaptation for Single Pass On-line Learning
Chun-nan Hsu, Yu-ming Chang, Hanshen Huang and Yuh-jye Lee
Advances in Neural Information Processing Systems 22, 2009


Who’s Doing What: Joint Modeling of Names and Verbs for Simultaneous Face and Pose Annotation
Jie Luo, Barbara Caputo and Vittorio Ferrari
Advances in Neural Information Processing Systems 22, 2009


Structural inference affects depth perception in the context of potential occlusion
Ian Stevenson and Konrad Koerding
Advances in Neural Information Processing Systems 22, 2009


Multi-Label Prediction via Sparse Infinite CCA
Piyush Rai and Hal Daume
Advances in Neural Information Processing Systems 22, 2009


Learning transport operators for image manifolds
Benjamin Culpepper and Bruno A. Olshausen
Advances in Neural Information Processing Systems 22, 2009


Filtering Abstract Senses From Image Search Results
Kate Saenko and Trevor Darrell
Advances in Neural Information Processing Systems 22, 2009


Exploring Functional Connectivities of the Human Brain using Multivariate Information Analysis
Barry Chai, Dirk Walther, Diane Beck and Li Fei-fei
Advances in Neural Information Processing Systems 22, 2009


Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation
Shalabh Bhatnagar, Doina Precup, David Silver, Richard S. Sutton, Hamid R. Maei and Csaba Szepesvári
Advances in Neural Information Processing Systems 22, 2009


A Sparse Non-Parametric Approach for Single Channel Separation of Known Sounds
Paris Smaragdis, Madhusudana Shashanka and Bhiksha Raj
Advances in Neural Information Processing Systems 22, 2009


A Parameter-free Hedging Algorithm
Kamalika Chaudhuri, Yoav Freund and Daniel J. Hsu
Advances in Neural Information Processing Systems 22, 2009


Posterior vs Parameter Sparsity in Latent Variable Models
Kuzman Ganchev, Ben Taskar, Fernando Pereira and João Gama
Advances in Neural Information Processing Systems 22, 2009


Learning to Explore and Exploit in POMDPs
Chenghui Cai, Xuejun Liao and Lawrence Carin
Advances in Neural Information Processing Systems 22, 2009


An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism
Douglas Eck, Yoshua Bengio and Aaron C. Courville
Advances in Neural Information Processing Systems 22, 2009


Neural Implementation of Hierarchical Bayesian Inference by Importance Sampling
Lei Shi and Thomas L. Griffiths
Advances in Neural Information Processing Systems 22, 2009


Lower bounds on minimax rates for nonparametric regression with additive sparsity and smoothness
Garvesh Raskutti, Bin Yu and Martin J. Wainwright
Advances in Neural Information Processing Systems 22, 2009


Streaming k-means approximation
Nir Ailon, Ragesh Jaiswal and Claire Monteleoni
Advances in Neural Information Processing Systems 22, 2009


Hierarchical Learning of Dimensional Biases in Human Categorization
Adam Sanborn, Nick Chater and Katherine A. Heller
Advances in Neural Information Processing Systems 22, 2009


Sequential effects reflect parallel learning of multiple environmental regularities
Matthew Wilder, Matt Jones and Michael C. Mozer
Advances in Neural Information Processing Systems 22, 2009


Subject independent EEG-based BCI decoding
Siamac Fazli, Cristian Grozea, Marton Danoczy, Benjamin Blankertz, Florin Popescu and Klaus-robert Müller
Advances in Neural Information Processing Systems 22, 2009


Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models
Baback Moghaddam, Emtiyaz Khan, Kevin P. Murphy and Benjamin M. Marlin
Advances in Neural Information Processing Systems 22, 2009


A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers
Sahand Negahban, Bin Yu, Martin J. Wainwright and Pradeep K. Ravikumar
Advances in Neural Information Processing Systems 22, 2009


An Integer Projected Fixed Point Method for Graph Matching and MAP Inference
Marius Leordeanu, Martial Hebert and Rahul Sukthankar
Advances in Neural Information Processing Systems 22, 2009


Fast Learning from Non-i.i.d. Observations
Ingo Steinwart and Andreas Christmann
Advances in Neural Information Processing Systems 22, 2009


Efficient Recovery of Jointly Sparse Vectors
Liang Sun, Jun Liu, Jianhui Chen and Jieping Ye
Advances in Neural Information Processing Systems 22, 2009


Heterogeneous multitask learning with joint sparsity constraints
Xiaolin Yang, Seyoung Kim and Eric P. Xing
Advances in Neural Information Processing Systems 22, 2009


Dual Averaging Method for Regularized Stochastic Learning and Online Optimization
Lin Xiao
Advances in Neural Information Processing Systems 22, 2009


Speeding up Magnetic Resonance Image Acquisition by Bayesian Multi-Slice Adaptive Compressed Sensing
Matthias Seeger
Advances in Neural Information Processing Systems 22, 2009


Nonlinear directed acyclic structure learning with weakly additive noise models
Arthur Gretton, Peter Spirtes and Robert E. Tillman
Advances in Neural Information Processing Systems 22, 2009


Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing
Sundeep Rangan, Vivek Goyal and Alyson K. Fletcher
Advances in Neural Information Processing Systems 22, 2009


Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs
Alexandre Bouchard-côté, Slav Petrov and Dan Klein
Advances in Neural Information Processing Systems 22, 2009


Semi-supervised Learning using Sparse Eigenfunction Bases
Kaushik Sinha and Mikhail Belkin
Advances in Neural Information Processing Systems 22, 2009


Entropic Graph Regularization in Non-Parametric Semi-Supervised Classification
Amarnag Subramanya and Jeff A. Bilmes
Advances in Neural Information Processing Systems 22, 2009


Modeling the spacing effect in sequential category learning
Hongjing Lu, Matthew Weiden and Alan L. Yuille
Advances in Neural Information Processing Systems 22, 2009


Fast, smooth and adaptive regression in metric spaces
Samory Kpotufe
Advances in Neural Information Processing Systems 22, 2009


A Smoothed Approximate Linear Program
Vijay Desai, Vivek Farias and Ciamac C. Moallemi
Advances in Neural Information Processing Systems 22, 2009


A Fast, Consistent Kernel Two-Sample Test
Arthur Gretton, Kenji Fukumizu, Za\"ıd Harchaoui and Bharath K. Sriperumbudur
Advances in Neural Information Processing Systems 22, 2009


Information-theoretic lower bounds on the oracle complexity of convex optimization
Alekh Agarwal, Martin J. Wainwright, Peter L. Bartlett and Pradeep K. Ravikumar
Advances in Neural Information Processing Systems 22, 2009


Segmenting Scenes by Matching Image Composites
Bryan Russell, Alyosha Efros, Josef Sivic, Bill Freeman and Andrew Zisserman
Advances in Neural Information Processing Systems 22, 2009


Accelerated Gradient Methods for Stochastic Optimization and Online Learning
Chonghai Hu, Weike Pan and James T. Kwok
Advances in Neural Information Processing Systems 22, 2009


Perceptual Multistability as Markov Chain Monte Carlo Inference
Samuel Gershman, Ed Vul and Joshua B. Tenenbaum
Advances in Neural Information Processing Systems 22, 2009


Adapting to the Shifting Intent of Search Queries
Umar Syed, Aleksandrs Slivkins and Nina Mishra
Advances in Neural Information Processing Systems 22, 2009


Complexity of Decentralized Control: Special Cases
Martin Allen and Shlomo Zilberstein
Advances in Neural Information Processing Systems 22, 2009


Explaining human multiple object tracking as resource-constrained approximate inference in a dynamic probabilistic model
Edward Vul, Michael C. Frank, Joshua B. Tenenbaum and George Alvarez
Advances in Neural Information Processing Systems 22, 2009


On Invariance in Hierarchical Models
Jake Bouvrie, Lorenzo Rosasco and Tomaso Poggio
Advances in Neural Information Processing Systems 22, 2009


Robust Nonparametric Regression with Metric-Space Valued Output
Matthias Hein
Advances in Neural Information Processing Systems 22, 2009


Learning to Hash with Binary Reconstructive Embeddings
Brian Kulis and Trevor Darrell
Advances in Neural Information Processing Systems 22, 2009


Riffled Independence for Ranked Data
Jonathan Huang and Carlos Guestrin
Advances in Neural Information Processing Systems 22, 2009


Sparse Estimation Using General Likelihoods and Non-Factorial Priors
David P. Wipf and Srikantan S. Nagarajan
Advances in Neural Information Processing Systems 22, 2009


Learning with Compressible Priors
Volkan Cevher
Advances in Neural Information Processing Systems 22, 2009


Distribution-Calibrated Hierarchical Classification
Ofer Dekel
Advances in Neural Information Processing Systems 22, 2009


Nonparametric Latent Feature Models for Link Prediction
Kurt Miller, Michael I. Jordan and Thomas L. Griffiths
Advances in Neural Information Processing Systems 22, 2009


Augmenting Feature-driven fMRI Analyses: Semi-supervised learning and resting state activity
Andreas Bartels, Matthew Blaschko and Jacquelyn A. Shelton
Advances in Neural Information Processing Systems 22, 2009


Slow Learners are Fast
Martin Zinkevich, John Langford and Alex J. Smola
Advances in Neural Information Processing Systems 22, 2009


Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis
Sundeep Rangan and Alyson K. Fletcher
Advances in Neural Information Processing Systems 22, 2009


Label Selection on Graphs
Andrew Guillory and Jeff A. Bilmes
Advances in Neural Information Processing Systems 22, 2009


Conditional Neural Fields
Jian Peng, Liefeng Bo and Jinbo Xu
Advances in Neural Information Processing Systems 22, 2009


Efficient Match Kernel between Sets of Features for Visual Recognition
Liefeng Bo and Cristian Sminchisescu
Advances in Neural Information Processing Systems 22, 2009


Slow, Decorrelated Features for Pretraining Complex Cell-like Networks
Yoshua Bengio and James S. Bergstra
Advances in Neural Information Processing Systems 22, 2009


Rethinking LDA: Why Priors Matter
Andrew Mccallum, David M. Mimno and Hanna M. Wallach
Advances in Neural Information Processing Systems 22, 2009


A Neural Implementation of the Kalman Filter
Robert Wilson and Leif Finkel
Advances in Neural Information Processing Systems 22, 2009


On the Convergence of the Concave-Convex Procedure
Gert R. Lanckriet and Bharath K. Sriperumbudur
Advances in Neural Information Processing Systems 22, 2009


Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference
Khashayar Rohanimanesh, Sameer Singh, Andrew Mccallum and Michael J. Black
Advances in Neural Information Processing Systems 22, 2009


Construction of Nonparametric Bayesian Models from Parametric Bayes Equations
Peter Orbanz
Advances in Neural Information Processing Systems 22, 2009


A Generalized Natural Actor-Critic Algorithm
Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto and Kenji Doya
Advances in Neural Information Processing Systems 22, 2009


Compressed Least-Squares Regression
Odalric Maillard and Rémi Munos
Advances in Neural Information Processing Systems 22, 2009


Modelling Relational Data using Bayesian Clustered Tensor Factorization
Ilya Sutskever, Joshua B. Tenenbaum and Ruslan Salakhutdinov
Advances in Neural Information Processing Systems 22, 2009


Lattice Regression
Eric Garcia and Maya Gupta
Advances in Neural Information Processing Systems 22, 2009


Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions
Kenji Fukumizu, Arthur Gretton, Gert R. Lanckriet, Bernhard Schölkopf and Bharath K. Sriperumbudur
Advances in Neural Information Processing Systems 22, 2009


Approximating MAP by Compensating for Structural Relaxations
Arthur Choi and Adnan Darwiche
Advances in Neural Information Processing Systems 22, 2009


Learning models of object structure
Joseph Schlecht and Kobus Barnard
Advances in Neural Information Processing Systems 22, 2009


A Game-Theoretic Approach to Hypergraph Clustering
Samuel R. Bulò and Marcello Pelillo
Advances in Neural Information Processing Systems 22, 2009


Polynomial Semantic Indexing
Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Corinna Cortes and Mehryar Mohri
Advances in Neural Information Processing Systems 22, 2009


Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process
Finale Doshi-velez, Shakir Mohamed, Zoubin Ghahramani and David A. Knowles
Advances in Neural Information Processing Systems 22, 2009


Efficient and Accurate Lp-Norm Multiple Kernel Learning
Marius Kloft, Ulf Brefeld, Pavel Laskov, Klaus-robert Müller, Alexander Zien and Sören Sonnenburg
Advances in Neural Information Processing Systems 22, 2009


Which graphical models are difficult to learn?
Andrea Montanari and Jose A. Pereira
Advances in Neural Information Processing Systems 22, 2009


Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction
Grzegorz Swirszcz, Naoki Abe and Aurelie C. Lozano
Advances in Neural Information Processing Systems 22, 2009


Group Sparse Coding
Samy Bengio, Fernando Pereira, Yoram Singer and Dennis Strelow
Advances in Neural Information Processing Systems 22, 2009


Matrix Completion from Power-Law Distributed Samples
Raghu Meka, Prateek Jain and Inderjit S. Dhillon
Advances in Neural Information Processing Systems 22, 2009


Particle-based Variational Inference for Continuous Systems
Andrew Frank, Padhraic Smyth and Alexander T. Ihler
Advances in Neural Information Processing Systems 22, 2009


Time-Varying Dynamic Bayesian Networks
Le Song, Mladen Kolar and Eric P. Xing
Advances in Neural Information Processing Systems 22, 2009


FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs
Andrew Mccallum, Karl Schultz and Sameer Singh
Advances in Neural Information Processing Systems 22, 2009


Thresholding Procedures for High Dimensional Variable Selection and Statistical Estimation
Shuheng Zhou
Advances in Neural Information Processing Systems 22, 2009


Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction
Kwang I. Kim, Florian Steinke and Matthias Hein
Advances in Neural Information Processing Systems 22, 2009


An Online Algorithm for Large Scale Image Similarity Learning
Gal Chechik, Uri Shalit, Varun Sharma and Samy Bengio
Advances in Neural Information Processing Systems 22, 2009


Reconstruction of Sparse Circuits Using Multi-neuronal Excitation (RESCUME)
Tao Hu, Anthony Leonardo and Dmitri B. Chklovskii
Advances in Neural Information Processing Systems 22, 2009


Convex Relaxation of Mixture Regression with Efficient Algorithms
Novi Quadrianto, John Lim, Dale Schuurmans and Tibério S. Caetano
Advances in Neural Information Processing Systems 22, 2009


Strategy Grafting in Extensive Games
Kevin Waugh, Nolan Bard and Michael Bowling
Advances in Neural Information Processing Systems 22, 2009


Maximum likelihood trajectories for continuous-time Markov chains
Theodore J. Perkins
Advances in Neural Information Processing Systems 22, 2009


Learning a Small Mixture of Trees
M. P. Kumar and Daphne Koller
Advances in Neural Information Processing Systems 22, 2009


Replicated Softmax: an Undirected Topic Model
Geoffrey E. Hinton and Ruslan Salakhutdinov
Advances in Neural Information Processing Systems 22, 2009


Asymptotically Optimal Regularization in Smooth Parametric Models
Percy Liang, Guillaume Bouchard, Francis R. Bach and Michael I. Jordan
Advances in Neural Information Processing Systems 22, 2009


Skill Discovery in Continuous Reinforcement Learning Domains using Skill Chaining
George Konidaris and Andre S. Barreto
Advances in Neural Information Processing Systems 22, 2009


Tracking Dynamic Sources of Malicious Activity at Internet Scale
Shobha Venkataraman, Avrim Blum, Dawn Song, Subhabrata Sen and Oliver Spatscheck
Advances in Neural Information Processing Systems 22, 2009


3D Object Recognition with Deep Belief Nets
Vinod Nair and Geoffrey E. Hinton
Advances in Neural Information Processing Systems 22, 2009


Estimating image bases for visual image reconstruction from human brain activity
Yusuke Fujiwara, Yoichi Miyawaki and Yukiyasu Kamitani
Advances in Neural Information Processing Systems 22, 2009


Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data
Shuai Huang, Jing Li, Liang Sun, Jun Liu, Teresa Wu, Kewei Chen, Adam Fleisher, Eric Reiman and Jieping Ye
Advances in Neural Information Processing Systems 22, 2009


Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming
Xiao-ming Wu, Anthony M. So, Zhenguo Li and Shuo-yen R. Li
Advances in Neural Information Processing Systems 22, 2009


Sharing Features among Dynamical Systems with Beta Processes
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan and Alan S. Willsky
Advances in Neural Information Processing Systems 22, 2009


Optimal Scoring for Unsupervised Learning
Zhihua Zhang and Guang Dai
Advances in Neural Information Processing Systems 22, 2009


Clustering sequence sets for motif discovery
Jong K. Kim and Seungjin Choi
Advances in Neural Information Processing Systems 22, 2009


Learning in Markov Random Fields using Tempered Transitions
Ruslan Salakhutdinov
Advances in Neural Information Processing Systems 22, 2009


Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies
Arno Onken, Steffen Grünewälder and Klaus Obermayer
Advances in Neural Information Processing Systems 22, 2009


Canonical Time Warping for Alignment of Human Behavior
Feng Zhou and Fernando Torre
Advances in Neural Information Processing Systems 22, 2009


A Biologically Plausible Model for Rapid Natural Scene Identification
Sennay Ghebreab, Steven Scholte, Victor Lamme and Arnold Smeulders
Advances in Neural Information Processing Systems 22, 2009


Nonparametric Bayesian Models for Unsupervised Event Coreference Resolution
Cosmin Bejan, Matthew Titsworth, Andrew Hickl and Sanda Harabagiu
Advances in Neural Information Processing Systems 22, 2009


Spatial Normalized Gamma Processes
Vinayak Rao and Yee W. Teh
Advances in Neural Information Processing Systems 22, 2009


STDP enables spiking neurons to detect hidden causes of their inputs
Bernhard Nessler, Michael Pfeiffer and Wolfgang Maass
Advances in Neural Information Processing Systems 22, 2009


Predicting the Optimal Spacing of Study: A Multiscale Context Model of Memory
Harold Pashler, Nicholas Cepeda, Robert Lindsey, Ed Vul and Michael C. Mozer
Advances in Neural Information Processing Systems 22, 2009


Adaptive Design Optimization in Experiments with People
Daniel Cavagnaro, Jay Myung and Mark A. Pitt
Advances in Neural Information Processing Systems 22, 2009


Kernel Methods for Deep Learning
Youngmin Cho and Lawrence K. Saul
Advances in Neural Information Processing Systems 22, 2009


Nonlinear Learning using Local Coordinate Coding
Kai Yu, Tong Zhang and Yihong Gong
Advances in Neural Information Processing Systems 22, 2009


Discriminative Network Models of Schizophrenia
Irina Rish, Benjamin Thyreau, Bertrand Thirion, Marion Plaze, Marie-laure Paillere-martinot, Catherine Martelli, Jean-luc Martinot, Jean-baptiste Poline and Guillermo A. Cecchi
Advances in Neural Information Processing Systems 22, 2009


Learning Non-Linear Combinations of Kernels
Corinna Cortes, Mehryar Mohri and Afshin Rostamizadeh
Advances in Neural Information Processing Systems 22, 2009


An LP View of the M-best MAP problem
Menachem Fromer and Amir Globerson
Advances in Neural Information Processing Systems 22, 2009


Variational Gaussian-process factor analysis for modeling spatio-temporal data
Jaakko Luttinen and Alexander T. Ihler
Advances in Neural Information Processing Systems 22, 2009


Localizing Bugs in Program Executions with Graphical Models
Laura Dietz, Valentin Dallmeier, Andreas Zeller and Tobias Scheffer
Advances in Neural Information Processing Systems 22, 2009


A Rate Distortion Approach for Semi-Supervised Conditional Random Fields
Yang Wang, Gholamreza Haffari, Shaojun Wang and Greg Mori
Advances in Neural Information Processing Systems 22, 2009


Efficient Moments-based Permutation Tests
Chunxiao Zhou, Huixia J. Wang and Yongmei M. Wang
Advances in Neural Information Processing Systems 22, 2009


Adaptive Regularization for Transductive Support Vector Machine
Zenglin Xu, Rong Jin, Jianke Zhu, Irwin King, Michael Lyu and Zhirong Yang
Advances in Neural Information Processing Systems 22, 2009


Nonparametric Greedy Algorithms for the Sparse Learning Problem
Han Liu and Xi Chen
Advances in Neural Information Processing Systems 22, 2009


Know Thy Neighbour: A Normative Theory of Synaptic Depression
Jean-pascal Pfister, Peter Dayan and Máté Lengyel
Advances in Neural Information Processing Systems 22, 2009


Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization
Massih Amini, Nicolas Usunier and Cyril Goutte
Advances in Neural Information Processing Systems 22, 2009


Noisy Generalized Binary Search
Robert Nowak
Advances in Neural Information Processing Systems 22, 2009


Free energy score space
Alessandro Perina, Marco Cristani, Umberto Castellani, Vittorio Murino and Nebojsa Jojic
Advances in Neural Information Processing Systems 22, 2009


fMRI-Based Inter-Subject Cortical Alignment Using Functional Connectivity
Bryan Conroy, Ben Singer, James Haxby and Peter J. Ramadge
Advances in Neural Information Processing Systems 22, 2009


Heavy-Tailed Symmetric Stochastic Neighbor Embedding
Zhirong Yang, Irwin King, Zenglin Xu and Erkki Oja
Advances in Neural Information Processing Systems 22, 2009


Statistical Models of Linear and Nonlinear Contextual Interactions in Early Visual Processing
Ruben Coen-cagli, Peter Dayan and Odelia Schwartz
Advances in Neural Information Processing Systems 22, 2009


Extending Phase Mechanism to Differential Motion Opponency for Motion Pop-out
Yicong Meng and Bertram E. Shi
Advances in Neural Information Processing Systems 22, 2009


Constructing Topological Maps using Markov Random Fields and Loop-Closure Detection
Roy Anati and Kostas Daniilidis
Advances in Neural Information Processing Systems 22, 2009


Non-stationary continuous dynamic Bayesian networks
Marco Grzegorczyk and Dirk Husmeier
Advances in Neural Information Processing Systems 22, 2009


Bayesian Sparse Factor Models and DAGs Inference and Comparison
Ricardo Henao and Ole Winther
Advances in Neural Information Processing Systems 22, 2009


Differential Use of Implicit Negative Evidence in Generative and Discriminative Language Learning
Anne Hsu and Thomas L. Griffiths
Advances in Neural Information Processing Systems 22, 2009


The Wisdom of Crowds in the Recollection of Order Information
Mark Steyvers, Brent Miller, Pernille Hemmer and Michael D. Lee
Advances in Neural Information Processing Systems 22, 2009


Positive Semidefinite Metric Learning with Boosting
Chunhua Shen, Junae Kim, Lei Wang and Anton Hengel
Advances in Neural Information Processing Systems 22, 2009


Streaming Pointwise Mutual Information
Benjamin V. Durme and Ashwin Lall
Advances in Neural Information Processing Systems 22, 2009


Adaptive Regularization of Weight Vectors
Koby Crammer, Alex Kulesza and Mark Dredze
Advances in Neural Information Processing Systems 22, 2009


Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models
Jing Gao, Feng Liang, Wei Fan, Yizhou Sun and Jiawei Han
Advances in Neural Information Processing Systems 22, 2009


Anomaly Detection with Score functions based on Nearest Neighbor Graphs
Manqi Zhao and Venkatesh Saligrama
Advances in Neural Information Processing Systems 22, 2009


On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation
Saketha N. Jagarlapudi, Dinesh G, Raman S, Chiranjib Bhattacharyya, Aharon Ben-tal and Ramakrishnan K.r.
Advances in Neural Information Processing Systems 22, 2009


Bayesian Belief Polarization
Alan Jern, Kai-min Chang and Charles Kemp
Advances in Neural Information Processing Systems 22, 2009


Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks
Stefan Klampfl and Wolfgang Maass
Advances in Neural Information Processing Systems 22, 2009


Code-specific policy gradient rules for spiking neurons
Henning Sprekeler, Guillaume Hennequin and Wulfram Gerstner
Advances in Neural Information Processing Systems 22, 2009


Submodularity Cuts and Applications
Yoshinobu Kawahara, Kiyohito Nagano, Koji Tsuda and Jeff A. Bilmes
Advances in Neural Information Processing Systems 22, 2009


Region-based Segmentation and Object Detection
Stephen Gould, Tianshi Gao and Daphne Koller
Advances in Neural Information Processing Systems 22, 2009


Multiple Incremental Decremental Learning of Support Vector Machines
Masayuki Karasuyama and Ichiro Takeuchi
Advances in Neural Information Processing Systems 22, 2009


Hierarchical Mixture of Classification Experts Uncovers Interactions between Brain Regions
Bangpeng Yao, Dirk Walther, Diane Beck and Li Fei-fei
Advances in Neural Information Processing Systems 22, 2009


Bayesian Nonparametric Models on Decomposable Graphs
Francois Caron and Arnaud Doucet
Advances in Neural Information Processing Systems 22, 2009


Factor Modeling for Advertisement Targeting
Ye Chen, Michael Kapralov, John Canny and Dmitry Y. Pavlov
Advances in Neural Information Processing Systems 22, 2009


Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units
Feng Yan, Ningyi Xu and Yuan Qi
Advances in Neural Information Processing Systems 22, 2009


Sparsistent Learning of Varying-coefficient Models with Structural Changes
Mladen Kolar, Le Song and Eric P. Xing
Advances in Neural Information Processing Systems 22, 2009


Inter-domain Gaussian Processes for Sparse Inference using Inducing Features
Anibal Figueiras-vidal and Miguel Lázaro-gredilla
Advances in Neural Information Processing Systems 22, 2009


Nash Equilibria of Static Prediction Games
Michael Brückner and Tobias Scheffer
Advances in Neural Information Processing Systems 22, 2009


Fast subtree kernels on graphs
Nino Shervashidze and Karsten M. Borgwardt
Advances in Neural Information Processing Systems 22, 2009


The "tree-dependent components" of natural scenes are edge filters
Daniel Zoran and Yair Weiss
Advances in Neural Information Processing Systems 22, 2009


Statistical Consistency of Top-k Ranking
Fen Xia, Tie-yan Liu and Hang Li
Advances in Neural Information Processing Systems 22, 2009


Distribution Matching for Transduction
Novi Quadrianto, James Petterson and Alex J. Smola
Advances in Neural Information Processing Systems 22, 2009


Learning from Neighboring Strokes: Combining Appearance and Context for Multi-Domain Sketch Recognition
Tom Ouyang and Randall Davis
Advances in Neural Information Processing Systems 22, 2009


The Infinite Partially Observable Markov Decision Process
Finale Doshi-velez
Advances in Neural Information Processing Systems 22, 2009


Time-rescaling methods for the estimation and assessment of non-Poisson neural encoding models
Jonathan W. Pillow
Advances in Neural Information Processing Systems 22, 2009


Bootstrapping from Game Tree Search
Joel Veness, David Silver, Alan Blair and William W. Cohen
Advances in Neural Information Processing Systems 22, 2009


The Ordered Residual Kernel for Robust Motion Subspace Clustering
Tat-jun Chin, Hanzi Wang and David Suter
Advances in Neural Information Processing Systems 22, 2009


Ranking Measures and Loss Functions in Learning to Rank
Wei Chen, Tie-yan Liu, Yanyan Lan, Zhi-ming Ma and Hang Li
Advances in Neural Information Processing Systems 22, 2009


Manifold Regularization for SIR with Rate Root-n Convergence
Wei Bian and Dacheng Tao
Advances in Neural Information Processing Systems 22, 2009


Beyond Convexity: Online Submodular Minimization
Elad Hazan and Satyen Kale
Advances in Neural Information Processing Systems 22, 2009


On Stochastic and Worst-case Models for Investing
Elad Hazan and Satyen Kale
Advances in Neural Information Processing Systems 22, 2009


Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data
Boaz Nadler, Nathan Srebro and Xueyuan Zhou
Advances in Neural Information Processing Systems 22, 2009


Indian Buffet Processes with Power-law Behavior
Yee W. Teh and Dilan Gorur
Advances in Neural Information Processing Systems 22, 2009


Measuring Invariances in Deep Networks
Ian Goodfellow, Honglak Lee, Quoc V. Le, Andrew Saxe and Andrew Y. Ng
Advances in Neural Information Processing Systems 22, 2009


A Data-Driven Approach to Modeling Choice
Vivek Farias, Srikanth Jagabathula and Devavrat Shah
Advances in Neural Information Processing Systems 22, 2009


From PAC-Bayes Bounds to KL Regularization
Pascal Germain, Alexandre Lacasse, Mario Marchand, Sara Shanian and François Laviolette
Advances in Neural Information Processing Systems 22, 2009


Learning Label Embeddings for Nearest-Neighbor Multi-class Classification with an Application to Speech Recognition
Natasha Singh-miller and Michael Collins
Advances in Neural Information Processing Systems 22, 2009


Semi-Supervised Learning in Gigantic Image Collections
Rob Fergus, Yair Weiss and Antonio Torralba
Advances in Neural Information Processing Systems 22, 2009


Linear-time Algorithms for Pairwise Statistical Problems
Parikshit Ram, Dongryeol Lee, William March and Alexander G. Gray
Advances in Neural Information Processing Systems 22, 2009


Rank-Approximate Nearest Neighbor Search: Retaining Meaning and Speed in High Dimensions
Parikshit Ram, Dongryeol Lee, Hua Ouyang and Alexander G. Gray
Advances in Neural Information Processing Systems 22, 2009


Ensemble Nystrom Method
Sanjiv Kumar, Mehryar Mohri and Ameet Talwalkar
Advances in Neural Information Processing Systems 22, 2009


A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation
Lan Du, Lu Ren, Lawrence Carin and David B. Dunson
Advances in Neural Information Processing Systems 22, 2009


Online Learning of Assignments
Matthew Streeter, Daniel Golovin and Andreas Krause
Advances in Neural Information Processing Systems 22, 2009


Graph Zeta Function in the Bethe Free Energy and Loopy Belief Propagation
Yusuke Watanabe and Kenji Fukumizu
Advances in Neural Information Processing Systems 22, 2009


An Additive Latent Feature Model for Transparent Object Recognition
Mario Fritz, Gary Bradski, Sergey Karayev, Trevor Darrell and Michael J. Black
Advances in Neural Information Processing Systems 22, 2009


Zero-shot Learning with Semantic Output Codes
Mark Palatucci, Dean Pomerleau, Geoffrey E. Hinton and Tom M. Mitchell
Advances in Neural Information Processing Systems 22, 2009


Improving Existing Fault Recovery Policies
Guy Shani and Christopher Meek
Advances in Neural Information Processing Systems 22, 2009


Directed Regression
Yi-hao Kao, Benjamin V. Roy and Xiang Yan
Advances in Neural Information Processing Systems 22, 2009


Speaker Comparison with Inner Product Discriminant Functions
Zahi Karam, Douglas Sturim and William M. Campbell
Advances in Neural Information Processing Systems 22, 2009


Monte Carlo Sampling for Regret Minimization in Extensive Games
Marc Lanctot, Kevin Waugh, Martin Zinkevich and Michael Bowling
Advances in Neural Information Processing Systems 22, 2009


Bayesian Source Localization with the Multivariate Laplace Prior
Marcel V. Gerven, Botond Cseke, Robert Oostenveld and Tom Heskes
Advances in Neural Information Processing Systems 22, 2009


Matrix Completion from Noisy Entries
Raghunandan Keshavan, Andrea Montanari and Sewoong Oh
Advances in Neural Information Processing Systems 22, 2009


On Learning Rotations
Raman Arora
Advances in Neural Information Processing Systems 22, 2009


Linearly constrained Bayesian matrix factorization for blind source separation
Mikkel Schmidt
Advances in Neural Information Processing Systems 22, 2009


A Bayesian Analysis of Dynamics in Free Recall
Richard Socher, Samuel Gershman, Per Sederberg, Kenneth Norman, Adler J. Perotte and David M. Blei
Advances in Neural Information Processing Systems 22, 2009


Potential-Based Agnostic Boosting
Varun Kanade and Adam Kalai
Advances in Neural Information Processing Systems 22, 2009


Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models
Ryan Mcdonald, Mehryar Mohri, Nathan Silberman, Dan Walker and Gideon S. Mann
Advances in Neural Information Processing Systems 22, 2009


Learning to Rank by Optimizing NDCG Measure
Hamed Valizadegan, Rong Jin, Ruofei Zhang and Jianchang Mao
Advances in Neural Information Processing Systems 22, 2009


Fast Image Deconvolution using Hyper-Laplacian Priors
Dilip Krishnan and Rob Fergus
Advances in Neural Information Processing Systems 22, 2009


AUC optimization and the two-sample problem
Nicolas Vayatis, Marine Depecker and Stéphan J. Clémençcon
Advances in Neural Information Processing Systems 22, 2009


Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering
Lei Wu, Rong Jin, Steven C. Hoi, Jianke Zhu and Nenghai Yu
Advances in Neural Information Processing Systems 22, 2009


Toward Provably Correct Feature Selection in Arbitrary Domains
Dimitris Margaritis
Advances in Neural Information Processing Systems 22, 2009


Regularized Distance Metric Learning:Theory and Algorithm
Rong Jin, Shijun Wang and Yang Zhou
Advances in Neural Information Processing Systems 22, 2009


Sparse Metric Learning via Smooth Optimization
Yiming Ying, Kaizhu Huang and Colin Campbell
Advances in Neural Information Processing Systems 22, 2009


Conditional Random Fields with High-Order Features for Sequence Labeling
Nan Ye, Wee S. Lee, Hai L. Chieu and Dan Wu
Advances in Neural Information Processing Systems 22, 2009


Bayesian estimation of orientation preference maps
Sebastian Gerwinn, Leonard White, Matthias Kaschube, Matthias Bethge and Jakob H. Macke
Advances in Neural Information Processing Systems 22, 2009


Data-driven calibration of linear estimators with minimal penalties
Sylvain Arlot and Francis R. Bach
Advances in Neural Information Processing Systems 22, 2009


A Gaussian Tree Approximation for Integer Least-Squares
Jacob Goldberger and Amir Leshem
Advances in Neural Information Processing Systems 22, 2009


Sensitivity analysis in HMMs with application to likelihood maximization
Pierre-arnaud Coquelin, Romain Deguest and Rémi Munos
Advances in Neural Information Processing Systems 22, 2009


Modeling Social Annotation Data with Content Relevance using a Topic Model
Tomoharu Iwata, Takeshi Yamada and Naonori Ueda
Advances in Neural Information Processing Systems 22, 2009


Human Rademacher Complexity
Xiaojin Zhu, Bryan R. Gibson and Timothy T. Rogers
Advances in Neural Information Processing Systems 22, 2009


Efficient Bregman Range Search
Lawrence Cayton
Advances in Neural Information Processing Systems 22, 2009


Multi-Step Dyna Planning for Policy Evaluation and Control
Hengshuai Yao, Shalabh Bhatnagar, Dongcui Diao, Richard S. Sutton and Csaba Szepesvári
Advances in Neural Information Processing Systems 22, 2009


Neurometric function analysis of population codes
Philipp Berens, Sebastian Gerwinn, Alexander Ecker and Matthias Bethge
Advances in Neural Information Processing Systems 22, 2009


Efficient Learning using Forward-Backward Splitting
Yoram Singer and John C. Duchi
Advances in Neural Information Processing Systems 22, 2009


A joint maximum-entropy model for binary neural population patterns and continuous signals
Sebastian Gerwinn, Philipp Berens and Matthias Bethge
Advances in Neural Information Processing Systems 22, 2009


Optimal context separation of spiking haptic signals by second-order somatosensory neurons
Romain Brasselet, Roland Johansson and Angelo Arleo
Advances in Neural Information Processing Systems 22, 2009


Gaussian process regression with Student-t likelihood
Jarno Vanhatalo, Pasi Jylänki and Aki Vehtari
Advances in Neural Information Processing Systems 22, 2009


Hierarchical Modeling of Local Image Features through $L_p$-Nested Symmetric Distributions
Matthias Bethge, Eero P. Simoncelli and Fabian H. Sinz
Advances in Neural Information Processing Systems 22, 2009


Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process
Chong Wang and David M. Blei
Advances in Neural Information Processing Systems 22, 2009


Variational Inference for the Nested Chinese Restaurant Process
Chong Wang and David M. Blei
Advances in Neural Information Processing Systems 22, 2009


Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning
Steven Chase, Andrew Schwartz, Wolfgang Maass and Robert A. Legenstein
Advances in Neural Information Processing Systems 22, 2009


Sufficient Conditions for Agnostic Active Learnable
Liwei Wang
Advances in Neural Information Processing Systems 22, 2009


Probabilistic Relational PCA
Wu-jun Li, Dit-yan Yeung and Zhihua Zhang
Advances in Neural Information Processing Systems 22, 2009


Exponential Family Graph Matching and Ranking
James Petterson, Jin Yu, Julian J. Mcauley and Tibério S. Caetano
Advances in Neural Information Processing Systems 22, 2009


Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations
Mingyuan Zhou, Haojun Chen, Lu Ren, Guillermo Sapiro, Lawrence Carin and John W. Paisley
Advances in Neural Information Processing Systems 22, 2009


Manifold Embeddings for Model-Based Reinforcement Learning under Partial Observability
Keith Bush and Joelle Pineau
Advances in Neural Information Processing Systems 22, 2009


Local Rules for Global MAP: When Do They Work ?
Kyomin Jung, Pushmeet Kohli and Devavrat Shah
Advances in Neural Information Processing Systems 22, 2009


Breaking Boundaries Between Induction Time and Diagnosis Time Active Information Acquisition
Ashish Kapoor and Eric Horvitz
Advances in Neural Information Processing Systems 22, 2009


Abstraction and Relational learning
Charles Kemp and Alan Jern
Advances in Neural Information Processing Systems 22, 2009


Individuation, Identification and Object Discovery
Charles Kemp, Alan Jern and Fei Xu
Advances in Neural Information Processing Systems 22, 2009


Quantification and the language of thought
Charles Kemp
Advances in Neural Information Processing Systems 22, 2009


Multi-Label Prediction via Compressed Sensing
John Langford, Tong Zhang, Daniel J. Hsu and Sham M. Kakade
Advances in Neural Information Processing Systems 22, 2009


Nonparametric Bayesian Texture Learning and Synthesis
Long Zhu, Yuanahao Chen, Bill Freeman and Antonio Torralba
Advances in Neural Information Processing Systems 22, 2009


Boosting with Spatial Regularization
Yongxin Xi, Uri Hasson, Peter J. Ramadge and Zhen J. Xiang
Advances in Neural Information Processing Systems 22, 2009


Locality-sensitive binary codes from shift-invariant kernels
Maxim Raginsky and Svetlana Lazebnik
Advances in Neural Information Processing Systems 22, 2009


No evidence for active sparsification in the visual cortex
Pietro Berkes, Ben White and Jozsef Fiser
Advances in Neural Information Processing Systems 22, 2009


Evaluating multi-class learning strategies in a generative hierarchical framework for object detection
Sanja Fidler, Marko Boben and Ales Leonardis
Advances in Neural Information Processing Systems 22, 2009


DUOL: A Double Updating Approach for Online Learning
Peilin Zhao, Steven C. Hoi and Rong Jin
Advances in Neural Information Processing Systems 22, 2009


Analysis of SVM with Indefinite Kernels
Yiming Ying, Colin Campbell and Mark Girolami
Advances in Neural Information Processing Systems 22, 2009


$L_1$-Penalized Robust Estimation for a Class of Inverse Problems Arising in Multiview Geometry
Arnak Dalalyan and Renaud Keriven
Advances in Neural Information Processing Systems 22, 2009


Robust Value Function Approximation Using Bilinear Programming
Marek Petrik and Shlomo Zilberstein
Advances in Neural Information Processing Systems 22, 2009


Reading Tea Leaves: How Humans Interpret Topic Models
Jonathan Chang, Sean Gerrish, Chong Wang, Jordan L. Boyd-graber and David M. Blei
Advances in Neural Information Processing Systems 22, 2009


Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization
John Wright, Arvind Ganesh, Shankar Rao, Yigang Peng and Yi Ma
Advances in Neural Information Processing Systems 22, 2009


Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise
Jacob Whitehill, Ting-fan Wu, Jacob Bergsma, Javier R. Movellan and Paul L. Ruvolo
Advances in Neural Information Processing Systems 22, 2009


Kernels and learning curves for Gaussian process regression on random graphs
Peter Sollich, Matthew Urry and Camille Coti
Advances in Neural Information Processing Systems 22, 2009


Structured output regression for detection with partial truncation
Andrea Vedaldi and Andrew Zisserman
Advances in Neural Information Processing Systems 22, 2009


Beyond Categories: The Visual Memex Model for Reasoning About Object Relationships
Tomasz Malisiewicz and Alyosha Efros
Advances in Neural Information Processing Systems 22, 2009


Maximin affinity learning of image segmentation
Kevin Briggman, Winfried Denk, Sebastian Seung, Moritz N. Helmstaedter and Srinivas C. Turaga
Advances in Neural Information Processing Systems 22, 2009


Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes
Kian M. Chai
Advances in Neural Information Processing Systems 22, 2009


A General Projection Property for Distribution Families
Yao-liang Yu, Yuxi Li, Dale Schuurmans and Csaba Szepesvári
Advances in Neural Information Processing Systems 22, 2009


Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora
Shuang-hong Yang, Hongyuan Zha and Bao-gang Hu
Advances in Neural Information Processing Systems 22, 2009


Occlusive Components Analysis
Jörg Lücke, Richard Turner, Maneesh Sahani and Marc Henniges
Advances in Neural Information Processing Systems 22, 2009


A Stochastic approximation method for inference in probabilistic graphical models
Peter Carbonetto, Matthew King and Firas Hamze
Advances in Neural Information Processing Systems 22, 2009


Optimizing Multi-Class Spatio-Spectral Filters via Bayes Error Estimation for EEG Classification
Wenming Zheng and Zhouchen Lin
Advances in Neural Information Processing Systems 22, 2009


Noise Characterization, Modeling, and Reduction for In Vivo Neural Recording
Zhi Yang, Qi Zhao, Edward Keefer and Wentai Liu
Advances in Neural Information Processing Systems 22, 2009


Sparse and Locally Constant Gaussian Graphical Models
Jean Honorio, Dimitris Samaras, Nikos Paragios, Rita Goldstein and Luis E. Ortiz
Advances in Neural Information Processing Systems 22, 2009


Unsupervised Feature Selection for the $k$-means Clustering Problem
Christos Boutsidis, Petros Drineas and Michael W. Mahoney
Advances in Neural Information Processing Systems 22, 2009


Discrete MDL Predicts in Total Variation
Marcus Hutter
Advances in Neural Information Processing Systems 22, 2009


Unsupervised Detection of Regions of Interest Using Iterative Link Analysis
Gunhee Kim and Antonio Torralba
Advances in Neural Information Processing Systems 22, 2009