ICML A*

160 papers

YearTitle / Authors
20103D Convolutional Neural Networks for Human Action Recognition.
Shuiwang Ji, Wei Xu, Ming Yang, Kai Yu
2010A Conditional Random Field for Multiple-Instance Learning.
Thomas Deselaers, Vittorio Ferrari
2010A DC Programming Approach for Sparse Eigenvalue Problem.
Mamadou Thiao, Pham Dinh Tao, Le Thi Hoai An
2010A Fast Augmented Lagrangian Algorithm for Learning Low-Rank Matrices.
Ryota Tomioka, Taiji Suzuki, Masashi Sugiyama, Hisashi Kashima
2010A Language-based Approach to Measuring Scholarly Impact.
Sean Gerrish, David M. Blei
2010A New Analysis of Co-Training.
Wei Wang, Zhi-Hua Zhou
2010A Simple Algorithm for Nuclear Norm Regularized Problems.
Martin Jaggi, Marek Sulovský
2010A Stick-Breaking Construction of the Beta Process.
John W. Paisley, Aimee K. Zaas, Christopher W. Woods, Geoffrey S. Ginsburg, Lawrence Carin
2010A Theoretical Analysis of Feature Pooling in Visual Recognition.
Y-Lan Boureau, Jean Ponce, Yann LeCun
2010A fast natural Newton method.
Nicolas Le Roux, Andrew W. Fitzgibbon
2010A scalable trust-region algorithm with application to mixed-norm regression.
Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon
2010Accelerated dual decomposition for MAP inference.
Vladimir Jojic, Stephen Gould, Daphne Koller
2010Active Learning for Multi-Task Adaptive Filtering.
Abhay Harpale, Yiming Yang
2010Active Learning for Networked Data.
Mustafa Bilgic, Lilyana Mihalkova, Lise Getoor
2010Active Risk Estimation.
Christoph Sawade, Niels Landwehr, Steffen Bickel, Tobias Scheffer
2010An Analysis of the Convergence of Graph Laplacians.
Daniel Ting, Ling Huang, Michael I. Jordan
2010Analysis of a Classification-based Policy Iteration Algorithm.
Alessandro Lazaric, Mohammad Ghavamzadeh, Rémi Munos
2010Application of Machine Learning To Epileptic Seizure Detection.
Ali H. Shoeb, John V. Guttag
2010Approximate Predictive Representations of Partially Observable Systems.
Monica Dinculescu, Doina Precup
2010Asymptotic Analysis of Generative Semi-Supervised Learning.
Joshua V. Dillon, Krishnakumar Balasubramanian, Guy Lebanon
2010Bayes Optimal Multilabel Classification via Probabilistic Classifier Chains.
Krzysztof Dembczynski, Weiwei Cheng, Eyke Hüllermeier
2010Bayesian Multi-Task Reinforcement Learning.
Alessandro Lazaric, Mohammad Ghavamzadeh
2010Bayesian Nonparametric Matrix Factorization for Recorded Music.
Matthew D. Hoffman, David M. Blei, Perry R. Cook
2010Boosted Backpropagation Learning for Training Deep Modular Networks.
Alexander Grubb, J. Andrew Bagnell
2010Boosting Classifiers with Tightened L0-Relaxation Penalties.
Noam Goldberg, Jonathan Eckstein
2010Boosting for Regression Transfer.
David Pardoe, Peter Stone
2010Bottom-Up Learning of Markov Network Structure.
Jesse Davis, Pedro M. Domingos
2010Budgeted Distribution Learning of Belief Net Parameters.
Liuyang Li, Barnabás Póczos, Csaba Szepesvári, Russell Greiner
2010Budgeted Nonparametric Learning from Data Streams.
Ryan Gomes, Andreas Krause
2010COFFIN: A Computational Framework for Linear SVMs.
Sören Sonnenburg, Vojtech Franc
2010Causal filter selection in microarray data.
Gianluca Bontempi, Patrick E. Meyer
2010Classes of Multiagent Q-learning Dynamics with epsilon-greedy Exploration.
Michael Wunder, Michael L. Littman, Monica Babes
2010Climbing the Tower of Babel: Unsupervised Multilingual Learning.
Benjamin Snyder, Regina Barzilay
2010Clustering processes.
Daniil Ryabko
2010Cognitive Models of Test-Item Effects in Human Category Learning.
Xiaojin Zhu, Bryan R. Gibson, Kwang-Sung Jun, Timothy T. Rogers, Joseph Harrison, Chuck Kalish
2010Comparing Clusterings in Space.
Michael H. Coen, M. Hidayath Ansari, Nathanael Fillmore
2010Conditional Topic Random Fields.
Jun Zhu, Eric P. Xing
2010Constructing States for Reinforcement Learning.
M. M. Hassan Mahmud
2010Continuous-Time Belief Propagation.
Tal El-Hay, Ido Cohn, Nir Friedman, Raz Kupferman
2010Convergence of Least Squares Temporal Difference Methods Under General Conditions.
Huizhen Yu
2010Convergence, Targeted Optimality, and Safety in Multiagent Learning.
Doran Chakraborty, Peter Stone
2010Deep Supervised t-Distributed Embedding.
Martin Renqiang Min, Laurens van der Maaten, Zineng Yuan, Anthony J. Bonner, Zhaolei Zhang
2010Deep learning via Hessian-free optimization.
James Martens
2010Deep networks for robust visual recognition.
Yichuan Tang, Chris Eliasmith
2010Detecting Large-Scale System Problems by Mining Console Logs.
Wei Xu, Ling Huang, Armando Fox, David A. Patterson, Michael I. Jordan
2010Discriminative Latent Variable Models for Object Detection.
Pedro F. Felzenszwalb, Ross B. Girshick, David A. McAllester, Deva Ramanan
2010Distance dependent Chinese restaurant processes.
David M. Blei, Peter I. Frazier
2010Dynamical Products of Experts for Modeling Financial Time Series.
Yutian Chen, Max Welling
2010Efficient Learning with Partially Observed Attributes.
Nicolò Cesa-Bianchi, Shai Shalev-Shwartz, Ohad Shamir
2010Efficient Reinforcement Learning with Multiple Reward Functions for Randomized Controlled Trial Analysis.
Daniel J. Lizotte, Michael H. Bowling, Susan A. Murphy
2010Efficient Selection of Multiple Bandit Arms: Theory and Practice.
Shivaram Kalyanakrishnan, Peter Stone
2010Estimation of (near) low-rank matrices with noise and high-dimensional scaling.
Sahand N. Negahban, Martin J. Wainwright
2010Exploiting Data-Independence for Fast Belief-Propagation.
Julian J. McAuley, Tibério S. Caetano
2010FAB-MAP: Appearance-Based Place Recognition and Mapping using a Learned Visual Vocabulary Model.
Mark Joseph Cummins, Paul M. Newman
2010Fast Neighborhood Subgraph Pairwise Distance Kernel.
Fabrizio Costa, Kurt De Grave
2010Fast boosting using adversarial bandits.
Róbert Busa-Fekete, Balázs Kégl
2010Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes.
Marek Petrik, Gavin Taylor, Ronald Parr, Shlomo Zilberstein
2010Feature Selection as a One-Player Game.
Romaric Gaudel, Michèle Sebag
2010Finding Planted Partitions in Nearly Linear Time using Arrested Spectral Clustering.
Nader H. Bshouty, Philip M. Long
2010Finite-Sample Analysis of LSTD.
Alessandro Lazaric, Mohammad Ghavamzadeh, Rémi Munos
2010Forgetting Counts: Constant Memory Inference for a Dependent Hierarchical Pitman-Yor Process.
Nicholas Bartlett, David Pfau, Frank D. Wood
2010From Transformation-Based Dimensionality Reduction to Feature Selection.
Mahdokht Masaeli, Glenn Fung, Jennifer G. Dy
2010Gaussian Covariance and Scalable Variational Inference.
Matthias W. Seeger
2010Gaussian Process Change Point Models.
Yunus Saatci, Ryan D. Turner, Carl Edward Rasmussen
2010Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design.
Niranjan Srinivas, Andreas Krause, Sham M. Kakade, Matthias W. Seeger
2010Gaussian Processes Multiple Instance Learning.
Minyoung Kim, Fernando De la Torre
2010Generalization Bounds for Learning Kernels.
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
2010Generalizing Apprenticeship Learning across Hypothesis Classes.
Thomas J. Walsh, Kaushik Subramanian, Michael L. Littman, Carlos Diuk
2010Graded Multilabel Classification: The Ordinal Case.
Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier
2010Heterogeneous Continuous Dynamic Bayesian Networks with Flexible Structure and Inter-Time Segment Information Sharing.
Frank Dondelinger, Sophie Lèbre, Dirk Husmeier
2010High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models.
Gregory Druck, Andrew McCallum
2010Hilbert Space Embeddings of Hidden Markov Models.
Le Song, Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon, Alexander J. Smola
2010Implicit Online Learning.
Brian Kulis, Peter L. Bartlett
2010Implicit Regularization in Variational Bayesian Matrix Factorization.
Shinichi Nakajima, Masashi Sugiyama
2010Improved Local Coordinate Coding using Local Tangents.
Kai Yu, Tong Zhang
2010Interactive Submodular Set Cover.
Andrew Guillory, Jeff A. Bilmes
2010Internal Rewards Mitigate Agent Boundedness.
Jonathan Sorg, Satinder Singh, Richard L. Lewis
2010Inverse Optimal Control with Linearly-Solvable MDPs.
Krishnamurthy Dvijotham, Emanuel Todorov
2010Label Ranking Methods based on the Plackett-Luce Model.
Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier
2010Label Ranking under Ambiguous Supervision for Learning Semantic Correspondences.
Antoine Bordes, Nicolas Usunier, Jason Weston
2010Large Graph Construction for Scalable Semi-Supervised Learning.
Wei Liu, Junfeng He, Shih-Fu Chang
2010Large Scale Max-Margin Multi-Label Classification with Priors.
Bharath Hariharan, Lihi Zelnik-Manor, S. V. N. Vishwanathan, Manik Varma
2010Learning Deep Boltzmann Machines using Adaptive MCMC.
Ruslan Salakhutdinov
2010Learning Efficiently with Approximate Inference via Dual Losses.
Ofer Meshi, David A. Sontag, Tommi S. Jaakkola, Amir Globerson
2010Learning Fast Approximations of Sparse Coding.
Karol Gregor, Yann LeCun
2010Learning Hierarchical Riffle Independent Groupings from Rankings.
Jonathan Huang, Carlos Guestrin
2010Learning Markov Logic Networks Using Structural Motifs.
Stanley Kok, Pedro M. Domingos
2010Learning Programs: A Hierarchical Bayesian Approach.
Percy Liang, Michael I. Jordan, Dan Klein
2010Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets.
Mingkui Tan, Li Wang, Ivor W. Tsang
2010Learning Temporal Causal Graphs for Relational Time-Series Analysis.
Yan Liu, Alexandru Niculescu-Mizil, Aurélie C. Lozano, Yong Lu
2010Learning Tree Conditional Random Fields.
Joseph K. Bradley, Carlos Guestrin
2010Learning from Noisy Side Information by Generalized Maximum Entropy Model.
Tianbao Yang, Rong Jin, Anil K. Jain
2010Learning optimally diverse rankings over large document collections.
Aleksandrs Slivkins, Filip Radlinski, Sreenivas Gollapudi
2010Learning the Linear Dynamical System with ASOS.
James Martens
2010Least-Squares Policy Iteration: Bias-Variance Trade-off in Control Problems.
Christophe Thiery, Bruno Scherrer
2010Local Minima Embedding.
Minyoung Kim, Fernando De la Torre
2010Making Large-Scale Nyström Approximation Possible.
Mu Li, James T. Kwok, Bao-Liang Lu
2010Metric Learning to Rank.
Brian McFee, Gert R. G. Lanckriet
2010Mining Clustering Dimensions.
Sajib Dasgupta, Vincent Ng
2010Mixed Membership Matrix Factorization.
Lester W. Mackey, David J. Weiss, Michael I. Jordan
2010Model-based reinforcement learning with nearly tight exploration complexity bounds.
Istvan Szita, Csaba Szepesvári
2010Modeling Interaction via the Principle of Maximum Causal Entropy.
Brian D. Ziebart, J. Andrew Bagnell, Anind K. Dey
2010Modeling Transfer Learning in Human Categorization with the Hierarchical Dirichlet Process.
Kevin Robert Canini, Mikhail M. Shashkov, Thomas L. Griffiths
2010Multi-Class Pegasos on a Budget.
Zhuang Wang, Koby Crammer, Slobodan Vucetic
2010Multi-Task Learning of Gaussian Graphical Models.
Jean Honorio, Dimitris Samaras
2010Multi-agent Learning Experiments on Repeated Matrix Games.
Bruno Bouzy, Marc Métivier
2010Multiagent Inductive Learning: an Argumentation-based Approach.
Santiago Ontañón, Enric Plaza
2010Multiple Non-Redundant Spectral Clustering Views.
Donglin Niu, Jennifer G. Dy, Michael I. Jordan
2010Multiscale Wavelets on Trees, Graphs and High Dimensional Data: Theory and Applications to Semi Supervised Learning.
Matan Gavish, Boaz Nadler, Ronald R. Coifman
2010Music Plus One and Machine Learning.
Christopher Raphael
2010Non-Local Contrastive Objectives.
David Vickrey, Cliff Chiung-Yu Lin, Daphne Koller
2010Nonparametric Information Theoretic Clustering Algorithm.
Lev Faivishevsky, Jacob Goldberger
2010Nonparametric Return Distribution Approximation for Reinforcement Learning.
Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka
2010OTL: A Framework of Online Transfer Learning.
Peilin Zhao, Steven C. H. Hoi
2010On Sparse Nonparametric Conditional Covariance Selection.
Mladen Kolar, Ankur P. Parikh, Eric P. Xing
2010On learning with kernels for unordered pairs.
Martial Hue, Jean-Philippe Vert
2010On the Consistency of Ranking Algorithms.
John C. Duchi, Lester W. Mackey, Michael I. Jordan
2010On the Interaction between Norm and Dimensionality: Multiple Regimes in Learning.
Percy Liang, Nati Srebro
2010One-sided Support Vector Regression for Multiclass Cost-sensitive Classification.
Han-Hsing Tu, Hsuan-Tien Lin
2010Online Learning for Group Lasso.
Haiqin Yang, Zenglin Xu, Irwin King, Michael R. Lyu
2010Online Prediction with Privacy.
Jun Sakuma, Hiromi Arai
2010Online Streaming Feature Selection.
Xindong Wu, Kui Yu, Hao Wang, Wei Ding
2010Particle Filtered MCMC-MLE with Connections to Contrastive Divergence.
Arthur U. Asuncion, Qiang Liu, Alexander T. Ihler, Padhraic Smyth
2010Power Iteration Clustering.
Frank Lin, William W. Cohen
2010Probabilistic Backward and Forward Reasoning in Stochastic Relational Worlds.
Tobias Lang, Marc Toussaint
2010Proceedings of the 27th International Conference on Machine Learning (ICML-10), June 21-24, 2010, Haifa, Israel
Johannes Fürnkranz, Thorsten Joachims
2010Projection Penalties: Dimension Reduction without Loss.
Yi Zhang, Jeff G. Schneider
2010Proximal Methods for Sparse Hierarchical Dictionary Learning.
Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski, Francis R. Bach
2010Random Spanning Trees and the Prediction of Weighted Graphs.
Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale, Giovanni Zappella
2010Rectified Linear Units Improve Restricted Boltzmann Machines.
Vinod Nair, Geoffrey E. Hinton
2010Restricted Boltzmann Machines are Hard to Approximately Evaluate or Simulate.
Philip M. Long, Rocco A. Servedio
2010Risk minimization, probability elicitation, and cost-sensitive SVMs.
Hamed Masnadi-Shirazi, Nuno Vasconcelos
2010Robust Formulations for Handling Uncertainty in Kernel Matrices.
Sahely Bhadra, Sourangshu Bhattacharya, Chiranjib Bhattacharyya, Aharon Ben-Tal
2010Robust Graph Mode Seeking by Graph Shift.
Hairong Liu, Shuicheng Yan
2010Robust Subspace Segmentation by Low-Rank Representation.
Guangcan Liu, Zhouchen Lin, Yong Yu
2010SVM Classifier Estimation from Group Probabilities.
Stefan Rüping
2010Sequential Projection Learning for Hashing with Compact Codes.
Jun Wang, Sanjiv Kumar, Shih-Fu Chang
2010Should one compute the Temporal Difference fix point or minimize the Bellman Residual? The unified oblique projection view.
Bruno Scherrer
2010Simple and Efficient Multiple Kernel Learning by Group Lasso.
Zenglin Xu, Rong Jin, Haiqin Yang, Irwin King, Michael R. Lyu
2010Sparse Gaussian Process Regression via L1 Penalization.
Feng Yan, Yuan (Alan) Qi
2010Spherical Topic Models.
Joseph Reisinger, Austin Waters, Bryan Silverthorn, Raymond J. Mooney
2010Structured Output Learning with Indirect Supervision.
Ming-Wei Chang, Vivek Srikumar, Dan Goldwasser, Dan Roth
2010Submodular Dictionary Selection for Sparse Representation.
Andreas Krause, Volkan Cevher
2010Supervised Aggregation of Classifiers using Artificial Prediction Markets.
Nathan Lay, Adrian Barbu
2010Surrogating the surrogate: accelerating Gaussian-process-based global optimization with a mixture cross-entropy algorithm.
Rémi Bardenet, Balázs Kégl
2010Telling cause from effect based on high-dimensional observations.
Dominik Janzing, Patrik O. Hoyer, Bernhard Schölkopf
2010Temporal Difference Bayesian Model Averaging: A Bayesian Perspective on Adapting Lambda.
Carlton Downey, Scott Sanner
2010The Elastic Embedding Algorithm for Dimensionality Reduction.
Miguel Á. Carreira-Perpiñán
2010The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling.
Sinead Williamson, Chong Wang, Katherine A. Heller, David M. Blei
2010The Margin Perceptron with Unlearning.
Constantinos Panagiotakopoulos, Petroula Tsampouka
2010The Role of Machine Learning in Business Optimization.
Chid Apté
2010The Translation-invariant Wishart-Dirichlet Process for Clustering Distance Data.
Julia E. Vogt, Sandhya Prabhakaran, Thomas J. Fuchs, Volker Roth
2010Total Variation, Cheeger Cuts.
Arthur Szlam, Xavier Bresson
2010Toward Off-Policy Learning Control with Function Approximation.
Hamid Reza Maei, Csaba Szepesvári, Shalabh Bhatnagar, Richard S. Sutton
2010Transfer Learning for Collective Link Prediction in Multiple Heterogenous Domains.
Bin Cao, Nathan Nan Liu, Qiang Yang
2010Tree-Guided Group Lasso for Multi-Task Regression with Structured Sparsity.
Seyoung Kim, Eric P. Xing
2010Two-Stage Learning Kernel Algorithms.
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
2010Unsupervised Risk Stratification in Clinical Datasets: Identifying Patients at Risk of Rare Outcomes.
Zeeshan Syed, Ilan Rubinfeld
2010Variable Selection in Model-Based Clustering: To Do or To Facilitate.
Leonard K. M. Poon, Nevin Lianwen Zhang, Tao Chen, Yi Wang
2010Web-Scale Bayesian Click-Through rate Prediction for Sponsored Search Advertising in Microsoft's Bing Search Engine.
Thore Graepel, Joaquin Quiñonero Candela, Thomas Borchert, Ralf Herbrich