Search Machine Learning Repository:
All publications at Proceedings of the 29th International Conference on Machine Learning (ICML-12)
authors venues years

Exponential Regret Bounds for Gaussian Process Bandits with Deterministic Observations
Nando D. Freitas, Masrour Zoghi and Alex J. Smola
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Max-Margin Nonparametric Latent Feature Models for Link Prediction
Jun Zhu
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Lognormal and Gamma Mixed Negative Binomial Regression
Mingyuan Zhou, Lingbo Li, Lawrence Carin and David B. Dunson
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Wenliang Zhong and James T. Kwok
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

A Bayesian Approach to Approximate Joint Diagonalization of Square Matrices
Mingjun Zhong and Mark Girolami
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning
Peilin Zhao, Jialei Wang, Pengcheng Wu, Rong Jin and Steven C. Hoi
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Maximum Margin Output Coding
Yi Zhang and Jeff G. Schneider
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method
Kai Zhang, Liang Lan, Jun Liu, Andreas Rauber and Fabian Moerchen
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Discovering Support and Affiliated Features from Very High Dimensions
Yiteng Zhai, Mingkui Tan, Yew S. Ong and Ivor W. Tsang
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Modeling Images using Transformed Indian Buffet Processes
Ke Zhai, Yuening Hu, Sinead Williamson and Jordan L. Boyd-graber
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Hierarchical Exploration for Accelerating Contextual Bandits
Yisong Yue, Sue A. Hong and Carlos Guestrin
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Regularizers versus Losses for Nonlinear Dimensionality Reduction: A Factored View with New Convex Relaxations
James Neufeld, Ryan Kiros, Xinhua Zhang, Dale Schuurmans and Yao-liang Yu
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Analysis of Kernel Mean Matching under Covariate Shift
Yao-liang Yu and Csaba Szepesvári
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Junming Yin, Xi Chen and Eric P. Xing
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Adaptive Canonical Correlation Analysis Based On Matrix Manifolds
Florian Yger, Maxime Berar, Gilles Gasso and Alain Rakotomamonjy
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Clustering by Low-Rank Doubly Stochastic Matrix Decomposition
Zhirong Yang and Erkki Oja
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Multiple Kernel Learning from Noisy Labels by Stochastic Programming
Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Lijun Zhang and Yang Zhou
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Smoothness and Structure Learning by Proxy
Benjamin Yackley and Terran Lane
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Conditional Sparse Coding and Grouped Multivariate Regression
Min Xu and John D. Lafferty
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

The Greedy Miser: Learning under Test-time Budgets
Zhixiang Xu, Olivier Chapelle and Kilian Q. Weinberger
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Infinite Tucker Decomposition: Nonparametric Bayesian Models for Multiway Data Analysis
Zenglin Xu, Feng Yan and Alan Qi
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Artist Agent: A Reinforcement Learning Approach to Automatic Stroke Generation in Oriental Ink Painting
Ning Xie, Hirotaka Hachiya and Masashi Sugiyama
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

A Proximal-Gradient Homotopy Method for the L1-Regularized Least-Squares Problem
Lin Xiao and Tong Zhang
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

A Split-Merge Framework for Comparing Clusterings
Qiaoliang Xiang, Qi Mao, Kian M. Chai, Hai L. Chieu, Zhenddong Zhao and Ivor W. Tsang
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

A Hierarchical Dirichlet Process Model with Multiple Levels of Clustering for Human EEG Seizure Modeling
Drausin Wulsin, Brian Litt and Shane T. Jensen
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Gaussian Process Regression Networks
Andrew Wilson, Zoubin Ghahramani and David A. Knowles
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Latent Collaborative Retrieval
Jason Weston, Chong Wang, Ron Weiss and Adam Berenzweig
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Efficient Euclidean Projections onto the Intersection of Norm Balls
Adams W. Yu, Hao Su and Li Fei-fei
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Exact Soft Confidence-Weighted Learning
Jialei Wang, Peilin Zhao and Steven C. Hoi
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Levy Measure Decompositions for the Beta and Gamma Processes
Yingjian Wang and Lawrence Carin
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Monte Carlo Bayesian Reinforcement Learning
Yi Wang, Kok S. Won, Wee S. Lee and Daniel J. Hsu
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Online Alternating Direction Method
Huahua Wang and Arindam Banerjee
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Stability of matrix factorization for collaborative filtering
Yu-xiang Wang and Huan Xu
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Clustering to Maximize the Ratio of Split to Diameter
Jiabing Wang and Jiaye Chen
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Machine Learning that Matters
Kiri L. Wagstaff
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

A Complete Analysis of the l_1,p Group-Lasso
Volker Roth and Julia E. Vogt
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Partial-Hessian Strategies for Fast Learning of Nonlinear Embeddings
Max Vladymyrov and Miguel Á. Carreira-perpiñán
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Small-sample brain mapping: sparse recovery on spatially correlated designs with randomization and clustering
Gael Varoquaux, Alexandre Gramfort and Bertrand Thirion
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Agglomerative Bregman Clustering
Sanjoy Dasgupta and Matus J. Telgarsky
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Deep Lambertian Networks
Yichuan Tang, Geoffrey E. Hinton and Ruslan Salakhutdinov
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Deep Mixtures of Factor Analysers
Yichuan Tang, Geoffrey E. Hinton and Ruslan Salakhutdinov
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

A Unified Robust Classification Model
Akiko Takeda, Hiroyuki Mitsugi and Takafumi Kanamori
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

AOSO-LogitBoost: Adaptive One-Vs-One LogitBoost for Multi-Class Problem
Peng Sun, Jie Zhou and Mark D. Reid
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

On the Size of the Online Kernel Sparsification Dictionary
Yi Sun, Jürgen Schmidhuber and Faustino J. Gomez
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Path Integral Policy Improvement with Covariance Matrix Adaptation
Freek Stulp and Olivier Sigaud
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Isoelastic Agents and Wealth Updates in Machine Learning Markets
Jono Millin, Krzysztof Geras and Amos J. Storkey
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

A Topic Model for Melodic Sequences
Athina Spiliopoulou and Amos J. Storkey
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Learning Invariant Representations with Local Transformations
Kihyuk Sohn and Honglak Lee
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Compositional Planning Using Optimal Option Models
David Silver and Kamil Ciosek
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Bayesian Watermark Attacks
Ivo Shterev and David B. Dunson
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Online Structured Prediction via Coactive Learning
Pannagadatta K. Shivaswamy and Thorsten Joachims
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Information-Theoretical Learning of Discriminative Clusters for Unsupervised Domain Adaptation
Yuan Shi and Fei Sha
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Is margin preserved after random projection?
Qinfeng Shi, Chunhua Shen, Rhys Hill and Anton Hengel
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Predicting Preference Flips in Commerce Search
Or Sheffet, Nina Mishra and Samuel Ieong
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Gap Filling in the Plant Kingdom---Trait Prediction Using Hierarchical Probabilistic Matrix Factorization
Hanhuai Shan, Jens Kattge, Peter Reich, Arindam Banerjee, Franziska Schrodt and Markus Reichstein
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Hypothesis testing using pairwise distances and associated kernels
Dino Sejdinovic, Arthur Gretton, Kenji Fukumizu and Bharath K. Sriperumbudur
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Efficient Structured Prediction with Latent Variables for General Graphical Models
Alexander Schwing, Tamir Hazan, Marc Pollefeys and Raquel Urtasun
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

On causal and anticausal learning
Dominik Janzing, Jonas Peters, Eleni Sgouritsa, Kun Zhang, Joris M. Mooij and Bernhard Schölkopf
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Scaling Up Coordinate Descent Algorithms for Large $\ell_1$ Regularization Problems
Chad Scherrer, Mahantesh Halappanavar, Ambuj Tewari and David Haglin
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Approximate Modified Policy Iteration
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Rethinking Collapsed Variational Bayes Inference for LDA
Issei Sato and Hiroshi Nakagawa
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Nonparametric Link Prediction in Dynamic Networks
Purnamrita Sarkar, Deepayan Chakrabarti and Michael I. Jordan
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Efficient Decomposed Learning for Structured Prediction
Rajhans Samdani and Dan Roth
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Inferring Latent Structure From Mixed Real and Categorical Relational Data
Esther Salazar, Matthew Cain, Elise Darling, Stephen Mitroff and Lawrence Carin
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Tighter Variational Representations of f-Divergences via Restriction to Probability Measures
Avraham Ruderman, Darío García-garcía, James Petterson and Mark D. Reid
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Agnostic System Identification for Model-Based Reinforcement Learning
Stephane Ross and Drew Bagnell
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

A Generative Process for sampling Contractive Auto-Encoders
Salah Rifai, Yoshua Bengio, Pascal Vincent and Yann N. Dauphin
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Estimation of Simultaneously Sparse and Low Rank Matrices
Emile Richard, Pierre-andre Savalle and Nicolas Vayatis
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Copula Mixture Model for Dependency-seeking Clustering
Melanie Rey and Volker Roth
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

The Convexity and Design of Composite Multiclass Losses
Peng Sun, Mark D. Reid and Robert C. Williamson
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

A Generalized Loop Correction Method for Approximate Inference in Graphical Models
Siamak Ravanbakhsh, Russell Greiner and Chun-nam J. Yu
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Output Space Search for Structured Prediction
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Sparse Support Vector Infinite Push
Alain Rakotomamonjy
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Making Gradient Descent Optimal for Strongly Convex Stochastic Optimization
Alexander Rakhlin, Ohad Shamir and Karthik Sridharan
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

The Most Persistent Soft-Clique in a Set of Sampled Graphs
Novi Quadrianto, Chao Chen and Christoph H. Lampert
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Collaborative Topic Regression with Social Matrix Factorization for Recommendation Systems
Sanjay Purushotham, Yan Liu and C.-c. J. Kuo
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Improved Estimation in Time Varying Models
Doina Precup and Philip Bachman
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Learning to Identify Regular Expressions that Describe Email Campaigns
Paul Prasse, Christoph Sawade, Niels Landwehr and Tobias Scheffer
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Copula-based Kernel Dependency Measures
Zoubin Ghahramani, Barnabás Póczos and Jeff G. Schneider
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

LPQP for MAP: Putting LP Solvers to Better Use
Patrick Pletscher and Sharon Wulff
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Approximate Dynamic Programming By Minimizing Distributionally Robust Bounds
Marek Petrik
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Exact Maximum Margin Structure Learning of Bayesian Networks
Robert Peharz and Franz Pernkopf
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Modeling Latent Variable Uncertainty for Loss-based Learning
M. P. Kumar, Ben Packer and Daphne Koller
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Alexandre Passos, Piyush Rai, Jacques Wainer and Hal Daume
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Dimensionality Reduction by Local Discriminative Gaussians
Nathan Parrish and Maya Gupta
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

An Infinite Latent Attribute Model for Network Data
Konstantina Palla, Zoubin Ghahramani and David A. Knowles
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Variational Bayesian Inference with Stochastic Search
David M. Blei, Michael I. Jordan and John W. Paisley
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Greedy Algorithms for Sparse Reinforcement Learning
Christopher Painter-wakefield and Ronald Parr
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Incorporating Domain Knowledge in Matching Problems via Harmonic Analysis
Deepti Pachauri, Maxwell Collins, Vikas Singh and Risi Kondor
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Stochastic Smoothing for Nonsmooth Minimizations: Accelerating SGD by Exploiting Structure
Hua Ouyang and Alexander G. Gray
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Improved Information Gain Estimates for Decision Tree Induction
Sebastian Nowozin
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Information-theoretic Semi-supervised Metric Learning via Entropy Regularization
Gang Niu, Bo Dai, Makoto Yamada and Masashi Sugiyama
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Optimizing F-measure: A Tale of Two Approaches
Ye Nan, Kian M. Chai, Wee S. Lee and Hai L. Chieu
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Convergence of the EM Algorithm for Gaussian Mixtures with Unbalanced Mixing Coefficients
Iftekhar Naim and Daniel Gildea
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Variational Inference in Non-negative Factorial Hidden Markov Models for Efficient Audio Source Separation
Gautham Mysore and Maneesh Sahani
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

PAC-Bayesian Generalization Bound on Confusion Matrix for Multi-Class Classification
Emilie Morvant, Sokol Koço and Liva Ralaivola
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Bayesian and L1 Approaches for Sparse Unsupervised Learning
Shakir Mohamed, Zoubin Ghahramani and Katherine A. Heller
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

A fast and simple algorithm for training neural probabilistic language models
Andriy Mnih and Yee W. Teh
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Learning to Label Aerial Images from Noisy Data
Volodymyr Mnih and Geoffrey E. Hinton
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Sparse stochastic inference for latent Dirichlet allocation
Matt Hoffman, David M. Blei and David M. Mimno
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Safe Exploration in Markov Decision Processes
Teodor M. Moldovan and Pieter Abbeel
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Predicting accurate probabilities with a ranking loss
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

On multi-view feature learning
Roland Memisevic
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Semi-Supervised Collective Classification via Hybrid Label Regularization
Luke Mcdowell and David Tax
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Approximate Principal Direction Trees
Mark Mccartin-lim, Andrew Mcgregor and Rui Wang
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Utilizing Static Analysis and Code Generation to Accelerate Neural Networks
Lawrence Mcafee and Kunle Olukotun
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Anytime Marginal MAP Inference
Cassio Campos and Denis D. Maua
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

A Joint Model of Language and Perception for Grounded Attribute Learning
Cynthia Matuszek, Nicholas Fitzgerald, Luke Zettlemoyer, Liefeng Bo and Dieter Fox
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Distributed Tree Kernels
Fabio M. Zanzotto and Lorenzo Dell'arciprete
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Estimating the Hessian by Back-propagating Curvature
James Martens, Ilya Sutskever and Kevin Swersky
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Lightning Does Not Strike Twice: Robust MDPs with Coupled Uncertainty
Shie Mannor, Ofir Mebel and Huan Xu
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Apprenticeship Learning for Model Parameters of Partially Observable Environments
Takaki Makino and Johane Takeuchi
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Complexity Analysis of the Lasso Regularization Path
Julien Mairal and Bin Yu
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Fast approximation of matrix coherence and statistical leverage
Petros Drineas, Malik Magdon-ismail, David Woodruff and Michael W. Mahoney
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Multi-level Lasso for Sparse Multi-task Regression
Grzegorz Swirszcz and Aurelie C. Lozano
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Structured Learning from Partial Annotations
Xinghua Lou and Fred A. Hamprecht
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Distributed Parameter Estimation via Pseudo-likelihood
Qiang Liu and Alexander T. Ihler
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

The Nonparanormal SKEPTIC
Han Liu, Fang Han, Ming Yuan, Larry Wasserman and John D. Lafferty
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Sparse-GEV: Sparse Latent Space Model for Multivariate Extreme Value Time Serie Modeling
Yan Liu, Taha Bahadori and Hongfei Li
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Compact Hyperplane Hashing with Bilinear Functions
Wei Liu, Jun Wang, Yadong Mu, Sanjiv Kumar and Shih-fu Chang
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

TrueLabel + Confusions: A Spectrum of Probabilistic Models in Analyzing Multiple Ratings
Chao Liu and Yi-min Wang
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Total Variation and Euler's Elastica for Supervised Learning
Tong Lin, Hanlin Xue, Ling Wang and Hongbin Zha
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Groupwise Constrained Reconstruction for Subspace Clustering
Ruijiang Li, Bin Li, Ke Zhang, Cheng Jin and Xiangyang Xue
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

On-Line Portfolio Selection with Moving Average Reversion
Bin Li and Steven C. Hoi
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Continuous Inverse Optimal Control with Locally Optimal Examples
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Building high-level features using large scale unsupervised learning
Marc'aurelio Ranzato, Rajat Monga, Matthieu Devin, Kai Chen, Greg Corrado, Jeff Dean, Quoc V. Le and Andrew Y. Ng
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

A Hybrid Algorithm for Convex Semidefinite Optimization
Soeren Laue
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

No-Regret Learning in Extensive-Form Games with Imperfect Recall
Marc Lanctot, Neil Burch, Martin Zinkevich, Michael Bowling and Richard G. Gibson
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Abhishek Kumar and Hal Daume
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

A Binary Classification Framework for Two-Stage Multiple Kernel Learning
Abhishek Kumar, Alexandru Niculescu-mizil, Koray Kavukcuoglu and Hal Daume
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Revisiting k-means: New Algorithms via Bayesian Nonparametrics
Brian Kulis and Michael I. Jordan
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Efficient Active Algorithms for Hierarchical Clustering
Akshay Krishnamurthy, Sivaraman Balakrishnan, Min Xu and Aarti Singh
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Subgraph Matching Kernels for Attributed Graphs
Nils Kriege and Petra Mutzel
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

An Iterative Locally Linear Embedding Algorithm
Deguang Kong, Chris H. Ding, Heng Huang and Feiping Nie
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Variance Function Estimation in High-dimensions
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Consistent Covariance Selection From Data With Missing Values
Mladen Kolar and Eric P. Xing
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Fast Prediction of New Feature Utility
Hoyt Koepke and Mikhail Bilenko
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

The Big Data Bootstrap
Ariel Kleiner, Ameet Talwalkar, Purnamrita Sarkar and Michael I. Jordan
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

A Combinatorial Algebraic Approach for the Identifiability of Low-Rank Matrix Completion
Franz Kiraly and Ryota Tomioka
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Fast Computation of Subpath Kernel for Trees
Daisuke Kimura and Hisashi Kashima
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Latent Multi-group Membership Graph Model
Myunghwan Kim and Jure Leskovec
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Dirichlet Process with Mixed Random Measures: A Nonparametric Topic Model for Labeled Data
Dongwoo Kim, Suin Kim and Alice Oh
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Comparison-Based Learning with Rank Nets
Amin Karbasi, Stratis Ioannidis and Laurent Massoulie
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

PAC Subset Selection in Stochastic Multi-armed Bandits
Shivaram Kalyanakrishnan, Ambuj Tewari, Peter Auer and Peter Stone
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Residual Component Analysis: Generalising PCA for more flexible inference in linear-Gaussian models
Alfredo Kalaitzis and Neil D. Lawrence
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Large Scale Variational Bayesian Inference for Structured Scale Mixture Models
Young J. Ko and Matthias Seeger
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

A convex relaxation for weakly supervised classifiers
Armand Joulin and Francis R. Bach
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Learning Object Arrangements in 3D Scenes using Human Context
Yun Jiang, Marcus Lim and Ashutosh Saxena
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

A Simple Algorithm for Semi-supervised Learning with Improved Generalization Error Bound
Ming Ji, Tianbao Yang, Binbin Lin, Rong Jin and Jiawei Han
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

A Convex Feature Learning Formulation for Latent Task Structure Discovery
Pratik Jawanpuria and J. S. Nath
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

High-Dimensional Covariance Decomposition into Sparse Markov and Independence Domains
Majid Janzamin and Animashree Anandkumar
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Clustering using Max-norm Constrained Optimization
Ali Jalali and Nathan Srebro
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Learning the Dependence Graph of Time Series with Latent Factors
Ali Jalali and Sujay Sanghavi
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

The Nonparametric Metadata Dependent Relational Model
Dae I. Kim, Michael Hughes and Erik B. Sudderth
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Convergence Rates of Biased Stochastic Optimization for Learning Sparse Ising Models
Jean Honorio
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Quasi-Newton Methods: A New Direction
Philipp Hennig and Martin Kiefel
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

On the Difficulty of Nearest Neighbor Search
Junfeng He, Sanjiv Kumar and Shih-fu Chang
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

On the Partition Function and Random Maximum A-Posteriori Perturbations
Tamir Hazan and Tommi S. Jaakkola
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Linear Regression with Limited Observation
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Projection-free Online Learning
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

State-Space Inference for Non-Linear Latent Force Models with Application to Satellite Orbit Prediction
Jouni Hartikainen, Mari Seppänen and Simo Särkkä
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Ensemble Methods for Convex Regression with Applications to Geometric Programming Based Circuit Design
Lauren Hannah and David B. Dunson
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Cross-Domain Multitask Learning with Latent Probit Models
Shaobo Han, Xuejun Liao and Lawrence Carin
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Finding Botnets Using Minimal Graph Clusterings
Peter Haider and Tobias Scheffer
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Cross Language Text Classification via Subspace Co-Regularized Multi-View Learning
Yuhong Guo and Min Xiao
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Sequential Nonparametric Regression
Haijie Gu and John D. Lafferty
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Conditional mean embeddings as regressors
Guy Lever, Luca Baldassarre, Sam Patterson, Arthur Gretton, Massimiliano Pontil and Steffen Grünewälder
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Modelling transition dynamics in MDPs with RKHS embeddings
Guy Lever, Luca Baldassarre, Arthur Gretton, Massimiliano Pontil and Steffen Grünewälder
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Large-Scale Feature Learning With Spike-and-Slab Sparse Coding
Ian Goodfellow, Yoshua Bengio and Aaron C. Courville
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Robust Multiple Manifolds Structure Learning
Dian Gong, Xuemei Zhao and Gerard Medioni
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Bayesian Efficient Multiple Kernel Learning
Mehmet Gönen
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Submodular Inference of Diffusion Networks from Multiple Trees
Manuel G. Rodriguez and Bernhard Schölkopf
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Influence Maximization in Continuous Time Diffusion Networks
Manuel G. Rodriguez and Bernhard Schölkopf
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

On the Sample Complexity of Reinforcement Learning with a Generative Model
Mohammad G. Azar, Bert Kappen and Rémi Munos
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Nonparametric variational inference
Samuel Gershman, Matt Hoffman and David M. Blei
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

A Dantzig Selector Approach to Temporal Difference Learning
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Bayesian Optimal Active Search and Surveying
Roman Garnett, Yamuna Krishnamurthy, Xuehan Xiong, Richard Mann and Jeff G. Schneider
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Factorized Asymptotic Bayesian Hidden Markov Models
Ryohei Fujimaki and Kohei Hayashi
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

An Efficient Approach to Sparse Linear Discriminant Analysis
Luis Merchante, Yves Grandvalet and Gérrad Govaert
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Bounded Planning in Passive POMDPs
Roy Fox and Naftali Tishby
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Robust PCA in High-dimension: A Deterministic Approach
Jiashi Feng, Huan Xu and Shuicheng Yan
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Plug-in martingales for testing exchangeability on-line
Valentina Fedorova, Alex Gammerman, Ilia Nouretdinov and Volodya Vovk
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Scene parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers
Clement Farabet, Camille Couprie, Laurent Najman and Yann Lecun
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Learning the Experts for Online Sequence Prediction
Elad Eban, Aharon Birnbaum, Shai Shalev-shwartz and Amir Globerson
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Bayesian Nonexhaustive Learning for Online Discovery and Modeling of Emerging Classes
Murat Dundar, Ferit Akova, Alan Qi and Bartek Rajwa
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Learning with Augmented Features for Heterogeneous Domain Adaptation
Lixin Duan, Dong Xu and Ivor W. Tsang
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Semi-Supervised Learning of Class Balance under Class-Prior Change by Distribution Matching
Marthinus D. Plessis and Masashi Sugiyama
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Policy Gradients with Variance Related Risk Criteria
Dotan D. Castro, Aviv Tamar and Shie Mannor
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Two Step CCA: A new spectral method for estimating vector models of words
Paramveer Dhillon, Jordan Rodu, Dean P. Foster and Lyle H. Ungar
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process Bandit Optimization
Thomas Desautels, Andreas Krause and Joel Burdick
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Robust Classification with Adiabatic Quantum Optimization
Vasil Denchev, Nan Ding, Hartmut Neven and S.v.n. Vishwanathan
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Consistent Multilabel Ranking through Univariate Losses
Krzysztof Dembczynski, Wojciech Kotlowski and Eyke Hüllermeier
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Off-Policy Actor-Critic
Thomas Degris, Martha White and Richard S. Sutton
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

A Graphical Model Formulation of Collaborative Filtering Neighbourhood Methods with Fast Maximum Entropy Training
Aaron Defazio and Tibério S. Caetano
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Demand-Driven Clustering in Relational Domains for Predicting Adverse Drug Events
Jesse Davis, Vitor S. Costa, Peggy Peissig, Michael Caldwell, Elizabeth Berg and David Page
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Feature Selection via Probabilistic Outputs
Andrea Danyluk and Nicholas Arnosti
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Manifold Relevance Determination
Andreas Damianou, Carl Ek, Michalis K. Titsias and Neil D. Lawrence
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Training Restricted Boltzmann Machines on Word Observations
George Dahl, Hugo Larochelle and Ryan P. Adams
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Learning Parameterized Skills
Bruno D. Silva, George Konidaris and Andrew G. Barto
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Koby Crammer and Gal Chechik
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

The Kernelized Stochastic Batch Perceptron
Andrew Cotter, Shai Shalev-shwartz and Nathan Srebro
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Joint Optimization and Variable Selection of High-dimensional Gaussian Processes
Bo Chen, Andreas Krause and Rui M. Castro
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

An Online Boosting Algorithm with Theoretical Justifications
Shang-tse Chen, Hsuan-tien Lin and Chi-jen Lu
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Communications Inspired Linear Discriminant Analysis
Minhua Chen, William Carson, Miguel Rodrigues, Robert Calderbank and Lawrence Carin
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Dependent Hierarchical Normalized Random Measures for Dynamic Topic Modeling
Changyou Chen, Nan Ding and Wray Buntine
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Marginalized Denoising Autoencoders for Domain Adaptation
Minmin Chen, Zhixiang Xu, Fei Sha and Kilian Q. Weinberger
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Convergence Rates for Differentially Private Statistical Estimation
Kamalika Chaudhuri and Daniel J. Hsu
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Active Learning for Matching Problems
Laurent Charlin, Craig Boutilier and Richard S. Zemel
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Learning Efficient Structured Sparse Models
Alex Bronstein, Pablo Sprechmann and Guillermo Sapiro
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Bayesian Conditional Cointegration
Chris Bracegirdle and David Barber
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Unachievable Region in Precision-Recall Space and Its Effect on Empirical Evaluation
Kendrick Boyd, Vitor S. Costa, Jesse Davis and David Page
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

On Local Regret
Michael Bowling and Martin Zinkevich
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription
Nicolas Boulanger-lewandowski, Yoshua Bengio and Pascal Vincent
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Gaussian Process Quantile Regression using Expectation Propagation
Alexis Boukouvalas, Remi Barillec and Dan Cornford
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Incorporating Causal Prior Knowledge as Path-Constraints in Bayesian Networks and Maximal Ancestral Graphs
Giorgos Borboudakis and Ioannis Tsamardinos
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Two-Manifold Problems with Applications to Nonlinear System Identification
Byron Boots and Geoffrey J. Gordon
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Discriminative Probabilistic Prototype Learning
Antonio Robles-kelly and Edwin V. Bonilla
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Summarizing topical content with word frequency and exclusivity
Jonathan Bischof and Edoardo M. Airoldi
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Poisoning Attacks against Support Vector Machines
Battista Biggio, Blaine Nelson and Pavel Laskov
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Canonical Trends: Detecting Trend Setters in Web Data
Felix Biessmann, Jens-michalis Papaioannou, Andreas Harth and Mikio L. Braun
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Fast classification using sparse decision DAGs
Djalel Benbouzid, Balázs Kégl and Róbert Busa-fekete
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Minimizing The Misclassification Error Rate Using a Surrogate Convex Loss
Shai Ben-david, David Loker, Nathan Srebro and Karthik Sridharan
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Similarity Learning for Provably Accurate Sparse Linear Classification
Aurelien Bellet, Amaury Habrard and Marc Sebban
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

An adaptive algorithm for finite stochastic partial monitoring
Gabor Bartok, Navid Zolghadr and Csaba Szepesvári
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Local Loss Optimization in Operator Models: A New Insight into Spectral Learning
Borja Balle, Ariadna Quattoni and Xavier Carreras
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

The Landmark Selection Method for Multiple Output Prediction
Krishnakumar Balasubramanian and Guy Lebanon
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Sparse Additive Functional and Kernel CCA
Sivaraman Balakrishnan, Kriti Puniyani and John D. Lafferty
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

How To Grade a Test Without Knowing the Answers --- A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing
Yoram Bachrach, Thore Graepel, Tom Minka and John Guiver
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

On the Equivalence between Herding and Conditional Gradient Algorithms
Simon Lacoste-julien, Francis R. Bach and Guillaume R. Obozinski
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Hybrid Batch Bayesian Optimization
Javad Azimi, Ali Jalali and Xiaoli Zhang-fern
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Batch Active Learning via Coordinated Matching
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Efficient and Practical Stochastic Subgradient Descent for Nuclear Norm Regularization
Haim Avron, Satyen Kale, Vikas Sindhwani and Shiva P. Kasiviswanathan
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Decoupling Exploration and Exploitation in Multi-Armed Bandits
Orly Avner, Shie Mannor and Ohad Shamir
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Statistical linear estimation with penalized estimators: an application to reinforcement learning
Bernardo A. Pires and Csaba Szepesvári
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Online Bandit Learning against an Adaptive Adversary: from Regret to Policy Regret
Raman Arora, Ofer Dekel and Ambuj Tewari
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Near-Optimal BRL using Optimistic Local Transitions
Mauricio Araya, Olivier Buffet and Vincent Thomas
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Shortest path distance in random k-nearest neighbor graphs
Morteza Alamgir and Ulrike V. Luxburg
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring
Sungjin Ahn, Anoop Korattikara and Max Welling
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012