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All publications at Proceedings of the 28th International Conference on Machine Learning (ICML-11)
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Infinite SVM: a Dirichlet Process Mixture of Large-margin Kernel Machines
Jun Zhu, Ning Chen and Eric P. Xing
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


GoDec: Randomized Low-rank & Sparse Matrix Decomposition in Noisy Case
Tianyi Zhou and Dacheng Tao
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Efficient Sparse Modeling with Automatic Feature Grouping
Wenliang Zhong and James T. Kwok
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Online AUC Maximization
Peilin Zhao, Rong Jin, Tianbao Yang and Steven C. Hoi
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Tree-Structured Infinite Sparse Factor Model
Xianxing Zhang, Lawrence Carin and David B. Dunson
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Beat the Mean Bandit
Yisong Yue and Thorsten Joachims
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Unimodal Bandits
Jia Y. Yu and Shie Mannor
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


On the Use of Variational Inference for Learning Discrete Graphical Model
Eunho Yang and Pradeep K. Ravikumar
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Active Learning from Crowds
Yan Yan, Glenn M. Fung, Rómer Rosales and Jennifer G. Dy
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Hierarchical Classification via Orthogonal Transfer
Lin Xiao, Dengyong Zhou and Mingrui Wu
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


SampleRank: Training Factor Graphs with Atomic Gradients
Khashayar Rohanimanesh, Kedar Bellare, Aron Culotta, Andrew Mccallum and Michael L. Wick
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Bayesian Learning via Stochastic Gradient Langevin Dynamics
Max Welling and Yee W. Teh
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Computational Rationalization: The Inverse Equilibrium Problem
Kevin Waugh, Drew Bagnell and Brian D. Ziebart
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Dynamic Egocentric Models for Citation Networks
David Hunter, Padhraic Smyth, Duy Q. Vu and Arthur U. Asuncion
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Bayesian CCA via Group Sparsity
Seppo Virtanen, Arto Klami and Samuel Kaski
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Preserving Personalized Pagerank in Subgraphs
Andrea Vattani, Deepayan Chakrabarti and Maxim Gurevich
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Learning Discriminative Fisher Kernels
Laurens Maaten
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Bundle Selling by Online Estimation of Valuation Functions
Daniel Vainsencher, Ofer Dekel and Shie Mannor
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Access to Unlabeled Data can Speed up Prediction Time
Ruth Urner, Shai Shalev-shwartz and Shai Ben-david
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Conjugate Markov Decision Processes
Philip S. Thomas and Andrew G. Barto
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Dynamic Tree Block Coordinate Ascent
Daniel Tarlow, Dhruv Batra, Pushmeet Kohli and Vladimir Kolmogorov
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Adaptively Learning the Crowd Kernel
Omer Tamuz, Ce Liu, Ohad Shamir, Adam Kalai and Serge J. Belongie
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Integrating Partial Model Knowledge in Model Free RL Algorithms
Aviv Tamar, Dotan D. Castro and Ron Meir
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


On Autoencoders and Score Matching for Energy Based Models
Kevin Swersky, Marc'aurelio Ranzato, David Buchman, Nando D. Freitas and Benjamin M. Marlin
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Generating Text with Recurrent Neural Networks
Ilya Sutskever, James Martens and Geoffrey E. Hinton
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Incremental Basis Construction from Temporal Difference Error
Yi Sun, Mark Ring, Jürgen Schmidhuber and Faustino J. Gomez
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


OptiML: An Implicitly Parallel Domain-Specific Language for Machine Learning
Arvind Sujeeth, Hyoukjoong Lee, Kevin Brown, Tiark Rompf, Hassan Chafi, Michael Wu, Anand Atreya, Martin Odersky and Kunle Olukotun
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


On Information-Maximization Clustering: Tuning Parameter Selection and Analytic Solution
Masashi Sugiyama, Makoto Yamada, Manabu Kimura and Hirotaka Hachiya
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Large Scale Text Classification using Semi-supervised Multinomial Naive Bayes
Jiang Su, Jelber S. Shirab and Stan Matwin
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Minimum Probability Flow Learning
Jascha Sohl-dickstein, Peter Battaglino and Michael R. Deweese
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Parsing Natural Scenes and Natural Language with Recursive Neural Networks
Richard Socher, Cliff C. Lin, Chris Manning and Andrew Y. Ng
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


The Constrained Weight Space SVM: Learning with Ranked Features
Kevin Small, Byron Wallace, Thomas Trikalinos and Carla E. Brodley
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Mapping kernels for trees
Kilho Shin, Marco Cuturi and Tetsuji Kuboyama
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Tree preserving embedding
Albert Shieh, Tatsunori Hashimoto and Edo Airoldi
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Large-Scale Convex Minimization with a Low-Rank Constraint
Shai Shalev-shwartz, Alon Gonen and Ohad Shamir
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Surrogate losses and regret bounds for cost-sensitive classification with example-dependent costs
Clayton Scott
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


On Random Weights and Unsupervised Feature Learning
Andrew Saxe, Pang W. Koh, Zhenghao Chen, Maneesh Bhand, Bipin Suresh and Andrew Y. Ng
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


From PAC-Bayes Bounds to Quadratic Programs for Majority Votes
Jean-francis Roy, Mario Marchand and François Laviolette
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Minimax Learning Rates for Bipartite Ranking and Plug-in Rules
Sylvain Robbiano and Stéphan J. Clémençcon
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Contractive Auto-Encoders: Explicit Invariance During Feature Extraction
Salah Rifai, Pascal Vincent, Xavier Muller, Xavier Glorot and Yoshua Bengio
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Boosting on a Budget: Sampling for Feature-Efficient Prediction
Lev Reyzin
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Beam Search based MAP Estimates for the Indian Buffet Process
Piyush Rai and Hal Daume
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Vector-valued Manifold Regularization
Ha Q. Minh and Vikas Sindhwani
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Learning Multi-View Neighborhood Preserving Projections
Novi Quadrianto and Christoph H. Lampert
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Estimating the Bayes Point Using Linear Knapsack Problems
Brian R. Potetz
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Convex Max-Product over Compact Sets for Protein Folding
Jian Peng, Tamir Hazan, Raquel Urtasun and David A. Mcallester
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Generalized Value Functions for Large Action Sets
Jason Pazis and Ron Parr
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


A Spectral Algorithm for Latent Tree Graphical Models
Le Song, Eric P. Xing and Ankur P. Parikh
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Variational Inference for Stick-Breaking Beta Process Priors
Lawrence Carin, David M. Blei and John W. Paisley
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Better Algorithms for Selective Sampling
Francesco Orabona and Nicolò Cesa-bianchi
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Ultra-Fast Optimization Algorithm for Sparse Multi Kernel Learning
Francesco Orabona and Luo Jie
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Minimal Loss Hashing for Compact Binary Codes
Mohammad Norouzi and David M. Blei
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


On tracking portfolios with certainty equivalents on a generalization of Markowitz model: the Fool, the Wise and the Adaptive
Richard Nock, Brice Magdalou, Eric Briys and Frank Nielsen
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


A New Bayesian Rating System for Team Competitions
Sergey Nikolenko and Alexander Sirotkin
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


A Three-Way Model for Collective Learning on Multi-Relational Data
Maximilian Nickel, Volker Tresp and Hans-peter Kriegel
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Learning Deep Energy Models
Jiquan Ngiam, Zhenghao Chen, Pang W. Koh and Andrew Y. Ng
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Multimodal Deep Learning
Jiquan Ngiam, Aditya Khosla, Mingyu Kim, Juhan Nam, Honglak Lee and Andrew Y. Ng
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Variational Inference for Policy Search in changing situations
Gerhard Neumann
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


On Bayesian PCA: Automatic Dimensionality Selection and Analytic Solution
Shinichi Nakajima, Masashi Sugiyama and Derin Babacan
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Size-constrained Submodular Minimization through Minimum Norm Base
Kiyohito Nagano, Yoshinobu Kawahara and Kazuyuki Aihara
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Linear Regression under Fixed-Rank Constraints: A Riemannian Approach
Gilles Meyer, Silvère Bonnabel and Rodolphe Sepulchre
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


An Augmented Lagrangian Approach to Constrained MAP Inference
Pedro Aguiar, Eric P. Xing, Mário Figueiredo, Noah A. Smith and André Martins
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Learning Recurrent Neural Networks with Hessian-Free Optimization
James Martens and Ilya Sutskever
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Mean-Variance Optimization in Markov Decision Processes
Shie Mannor and John Tsitsiklis
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Implementing regularization implicitly via approximate eigenvector computation
Lorenzo Orecchia and Michael W. Mahoney
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Stochastic Low-Rank Kernel Learning for Regression
Pierre Machart, Thomas Peel, Sandrine Anthoine, Liva Ralaivola and Hervé Glotin
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Cauchy Graph Embedding
Dijun Luo, Feiping Nie, Heng Huang and Chris H. Ding
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Learning Mallows Models with Pairwise Preferences
Tyler Lu and Craig Boutilier
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Hashing with Graphs
Wei Liu, Jun Wang, Sanjiv Kumar and Shih-fu Chang
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Bounding the Partition Function using Holder's Inequality
Qiang Liu and Alexander T. Ihler
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


The Infinite Regionalized Policy Representation
Miao Liu, Xuejun Liao and Lawrence Carin
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Towards Making Unlabeled Data Never Hurt
Yu-feng Li and Zhi-hua Zhou
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


On the Integration of Topic Modeling and Dictionary Learning
Lingbo Li, Mingyuan Zhou, Guillermo Sapiro and Lawrence Carin
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Time Series Clustering: Complex is Simpler!
Lei Li and B. A. Prakash
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Manifold Identification of Dual Averaging Methods for Regularized Stochastic Online Learning
Sangkyun Lee and Stephen Wright
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


On optimization methods for deep learning
Jiquan Ngiam, Adam Coates, Ahbik Lahiri, Bobby Prochnow, Quoc V. Le and Andrew Y. Ng
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Variational Heteroscedastic Gaussian Process Regression
Michalis K. Titsias and Miguel Lázaro-gredilla
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Locally Linear Support Vector Machines
Lubor Ladicky and Philip Torr
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Relational Active Learning for Joint Collective Classification Models
Ankit Kuwadekar and Jennifer Neville
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


A Co-training Approach for Multi-view Spectral Clustering
Abhishek Kumar and Hal Daume
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


k-DPPs: Fixed-Size Determinantal Point Processes
Alex Kulesza and Ben Taskar
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Pruning nearest neighbor cluster trees
Samory Kpotufe and Ulrike V. Luxburg
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Bipartite Ranking through Minimization of Univariate Loss
Wojciech Kotlowski, Krzysztof J. Dembczynski and Eyke Hüllermeier
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Message Passing Algorithms for the Dirichlet Diffusion Tree
Jurgen V. Gael, Zoubin Ghahramani and David A. Knowles
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


On the Robustness of Kernel Density M-Estimators
Jooseuk Kim and Clayton Scott
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Suboptimal Solution Path Algorithm for Support Vector Machine
Masayuki Karasuyama and Ichiro Takeuchi
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Learning with Whom to Share in Multi-task Feature Learning
Zhuoliang Kang, Kristen Grauman and Fei Sha
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Approximating Correlated Equilibria using Relaxations on the Marginal Polytope
Hetunandan Kamisetty, Eric P. Xing and Christopher J. Langmead
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Functional Regularized Least Squares Classication with Operator-valued Kernels
Hachem Kadri, Asma Rabaoui, Philippe Preux, Emmanuel Duflos and Alain Rakotomamonjy
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Eigenvalue Sensitive Feature Selection
Yi Jiang and Jiangtao Ren
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Task Space Retrieval Using Inverse Feedback Control
Nikolay Jetchev and Marc Toussaint
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Approximation Bounds for Inference using Cooperative Cuts
Stefanie Jegelka and Jeff A. Bilmes
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Online Submodular Minimization for Combinatorial Structures
Stefanie Jegelka and Jeff A. Bilmes
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Efficient Rule Ensemble Learning using Hierarchical Kernels
Pratik Jawanpuria, Saketha N. Jagarlapudi and Ganesh Ramakrishnan
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Clustering Partially Observed Graphs via Convex Optimization
Ali Jalali, Yudong Chen, Sujay Sanghavi and Huan Xu
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Speeding-Up Hoeffding-Based Regression Trees With Options
Elena Ikonomovska, João Gama, Bernard Zenko and Saso Dzeroski
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


BCDNPKL: Scalable Non-Parametric Kernel Learning Using Block Coordinate Descent
En-liang Hu, Bo Wang and Songcan Chen
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Clusterpath: an Algorithm for Clustering using Convex Fusion Penalties
Toby Hocking, Jean-philippe Vert, Armand Joulin and Francis R. Bach
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Brier Curves: a New Cost-Based Visualisation of Classifier Performance
Cèsar Ferri, José Hernández-orallo and Peter A. Flach
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


On the Necessity of Irrelevant Variables
Dave Helmbold and Phil Long
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


A Graph-based Framework for Multi-Task Multi-View Learning
Jingrui He and Rick Lawrence
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Learning from Multiple Outlooks
Maayan Harel and Shie Mannor
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Approximate Dynamic Programming for Storage Problems
Lauren Hannah and David B. Dunson
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Simultaneous Learning and Covering with Adversarial Noise
Andrew Guillory and Jeff A. Bilmes
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


A Unified Probabilistic Model for Global and Local Unsupervised Feature Selection
Yue Guan, Michael I. Jordan and Jennifer G. Dy
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Generalized Boosting Algorithms for Convex Optimization
Alexander Grubb and Drew Bagnell
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Max-margin Learning for Lower Linear Envelope Potentials in Binary Markov Random Fields
Stephen Gould
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Uncovering the Temporal Dynamics of Diffusion Networks
Manuel G. Rodriguez, David Balduzzi and Bernhard Schölkopf
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach
Xavier Glorot, Antoine Bordes and Yoshua Bengio
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Finite-Sample Analysis of Lasso-TD
Mohammad Ghavamzadeh, Alessandro Lazaric, Matthew Hoffman and Rémi Munos
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Predicting Legislative Roll Calls from Text
Sean Gerrish and David M. Blei
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


A PAC-Bayes Sample-compression Approach to Kernel Methods
Pascal Germain, Alexandre Lacoste, Mario Marchand, Sara Shanian and François Laviolette
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Online Discovery of Feature Dependencies
Alborz Geramifard, Finale Doshi, Joshua Redding, Nicholas Roy and Jonathan How
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Risk-Based Generalizations of f-divergences
Ulrike V. Luxburg, Ra\'ul Santos-rodr\'iiguez and Darío García-garcía
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Multiclass Boosting with Hinge Loss based on Output Coding
Tianshi Gao and Daphne Koller
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Classification-based Policy Iteration with a Critic
Victor Gabillon, Alessandro Lazaric, Mohammad Ghavamzadeh and Bruno Scherrer
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Support Vector Machines as Probabilistic Models
Vojtech Franc, Alexander Zien and Bernhard Schölkopf
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


A Coherent Interpretation of AUC as a Measure of Aggregated Classification Performance
Cèsar Ferri, José Hernández-orallo and Peter A. Flach
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Sparse Additive Generative Models of Text
Jacob Eisenstein, Amr Ahmed and Eric P. Xing
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Doubly Robust Policy Evaluation and Learning
John Langford, Lihong Li and Miroslav Dudík
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Infinite Dynamic Bayesian Networks
Finale Doshi, David Wingate, Josh Tenenbaum and Nicholas Roy
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Learning Output Kernels with Block Coordinate Descent
Francesco Dinuzzo, Cheng S. Ong, Gianluigi Pillonetto and Peter V. Gehler
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Optimal Distributed Online Prediction
Ofer Dekel, Ran Gilad-bachrach, Ohad Shamir and Lin Xiao
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


PILCO: A Model-Based and Data-Efficient Approach to Policy Search
Marc Deisenroth and Carl E. Rasmussen
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Large-Scale Learning of Embeddings with Reconstruction Sampling
Xavier Glorot, Yoshua Bengio and Yann N. Dauphin
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection
Abhimanyu Das and David Kempe
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Fast Global Alignment Kernels
Marco Cuturi
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Multiclass Classification with Bandit Feedback using Adaptive Regularization
Koby Crammer and Claudio Gentile
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Unsupervised Models of Images by Spike-and-Slab RBMs
Yoshua Bengio, Aaron C. Courville and James S. Bergstra
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Adaptive Kernel Approximation for Large-Scale Non-Linear SVM Prediction
Michele Cossalter, Rong Yan and Lu Zheng
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


The Importance of Encoding Versus Training with Sparse Coding and Vector Quantization
Adam Coates and Andrew Y. Ng
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Inference of Inversion Transduction Grammars
Alexander Clark
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Enhanced Gradient and Adaptive Learning Rate for Training Restricted Boltzmann Machines
Kyunghyun Cho, Tapani Raiko and Alexander T. Ihler
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Automatic Feature Decomposition for Single View Co-training
Minmin Chen, Yixin Chen and Kilian Q. Weinberger
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Robust Matrix Completion and Corrupted Columns
Yudong Chen, Huan Xu, Constantine Caramanis and Sujay Sanghavi
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Topic Modeling with Nonparametric Markov Tree
Haojun Chen, Lawrence Carin and David B. Dunson
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


The Hierarchical Beta Process for Convolutional Factor Analysis and Deep Learning
Bo Chen, Gungor Polatkan, Guillermo Sapiro, Lawrence Carin and David B. Dunson
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Structure Learning in Ergodic Factored MDPs without Knowledge of the Transition Function's In-Degree
Doran Chakraborty and Peter Stone
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Learning Linear Functions with Quadratic and Linear Multiplicative Updates
Tom Bylander
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Learning Scoring Functions with Order-Preserving Losses and Standardized Supervision
David Buffoni, Patrick Gallinari, Nicolas Usunier and Clément Calauzènes
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Semi-supervised Penalized Output Kernel Regression for Link Prediction
Céline Brouard, Marie Szafranski and Florence D'alché-buc
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Parallel Coordinate Descent for L1-Regularized Loss Minimization
Aapo Kyrola, Daniel Bickson, Carlos Guestrin and Joseph K. Bradley
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Multi-Label Classification on Tree- and DAG-Structured Hierarchies
Wei Bi and James T. Kwok
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Learning attentional policies for tracking and recognition in video with deep networks
Loris Bazzani, Hugo Larochelle, Vittorio Murino, Jo-anne Ting and Nando D. Freitas
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Fast Newton-type Methods for Total Variation Regularization
Álvaro Barbero and Suvrit Sra
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Apprenticeship Learning About Multiple Intentions
Monica Babes, Vukosi Marivate, Kaushik Subramanian and Michael L. Littman
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Multiple Instance Learning with Manifold Bags
Boris Babenko, Nakul Verma, Piotr Dollár and Serge J. Belongie
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Clustering by Left-Stochastic Matrix Factorization
Raman Arora, Maya Gupta, Amol Kapila and Maryam Fazel
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Probabilistic Matrix Addition
Amrudin Agovic, Arindam Banerjee and Snigdhansu Chatterje
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions
Alekh Agarwal, Sahand Negahban and Martin J. Wainwright
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011