ICML (3)

Publications

2013

Miles Lopes
Estimating Unknown Sparsity in Compressed Sensing. ICML (3) (2013)
Arun Tejasvi Chaganty, Percy Liang
Spectral Experts for Estimating Mixtures of Linear Regressions. ICML (3) (2013)
Felix X. Yu, Dong Liu, Sanjiv Kumar, Tony Jebara, Shih-Fu Chang
\(\propto\)SVM for Learning with Label Proportions. ICML (3) (2013)
Sung Ju Hwang, Kristen Grauman, Fei Sha
Analogy-preserving Semantic Embedding for Visual Object Categorization. ICML (3) (2013)
Ming Yang, Yingming Li, Zhongfei Zhang
Multi-Task Learning with Gaussian Matrix Generalized Inverse Gaussian Model. ICML (3) (2013)
Sergey Levine, Vladlen Koltun
Guided Policy Search. ICML (3) (2013)
Shipra Agrawal, Navin Goyal
Thompson Sampling for Contextual Bandits with Linear Payoffs. ICML (3) (2013)
Rishabh K. Iyer, Stefanie Jegelka, Jeff A. Bilmes
Fast Semidifferential-based Submodular Function Optimization. ICML (3) (2013)
Kazuyoshi Yoshii, Ryota Tomioka, Daichi Mochihashi, Masataka Goto
Infinite Positive Semidefinite Tensor Factorization for Source Separation of Mixture Signals. ICML (3) (2013)
Xi Chen, Qihang Lin, Dengyong Zhou
Optimistic Knowledge Gradient Policy for Optimal Budget Allocation in Crowdsourcing. ICML (3) (2013)
Tan Nguyen, Scott Sanner
Algorithms for Direct 0-1 Loss Optimization in Binary Classification. ICML (3) (2013)
Krzysztof Dembczynski, Arkadiusz Jachnik, Wojciech Kotlowski, Willem Waegeman, Eyke Hüllermeier
Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization. ICML (3) (2013)
Philipp Krähenbühl, Vladlen Koltun
Parameter Learning and Convergent Inference for Dense Random Fields. ICML (3) (2013)
Yuan Qi, Yandong Guo
Message passing with l1 penalized KL minimization. ICML (3) (2013)
Kohei Ogawa, Motoki Imamura, Ichiro Takeuchi, Masashi Sugiyama
Infinitesimal Annealing for Training Semi-Supervised Support Vector Machines. ICML (3) (2013)
Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh
Factorial Multi-Task Learning : A Bayesian Nonparametric Approach. ICML (3) (2013)
Xinggang Wang, Baoyuan Wang, Xiang Bai, Wenyu Liu, Zhuowen Tu
Max-Margin Multiple-Instance Dictionary Learning. ICML (3) (2013)
Richard S. Zemel, Yu Wu, Kevin Swersky, Toniann Pitassi, Cynthia Dwork
Learning Fair Representations. ICML (3) (2013)
David Duvenaud, James Robert Lloyd, Roger B. Grosse, Joshua B. Tenenbaum, Zoubin Ghahramani
Structure Discovery in Nonparametric Regression through Compositional Kernel Search. ICML (3) (2013)
Ian J. Goodfellow, David Warde-Farley, Mehdi Mirza, Aaron C. Courville, Yoshua Bengio
Maxout Networks. ICML (3) (2013)
Hua Wang, Feiping Nie, Heng Huang
Robust and Discriminative Self-Taught Learning. ICML (3) (2013)
Kyunghyun Cho
Simple Sparsification Improves Sparse Denoising Autoencoders in Denoising Highly Corrupted Images. ICML (3) (2013)
Christos Dimitrakakis, Nikolaos Tziortziotis
ABC Reinforcement Learning. ICML (3) (2013)
Ji Liu, Lei Yuan, Jieping Ye
Guaranteed Sparse Recovery under Linear Transformation. ICML (3) (2013)
Matt Wytock, J. Zico Kolter
Sparse Gaussian Conditional Random Fields: Algorithms, Theory, and Application to Energy Forecasting. ICML (3) (2013)
Quoc V. Le, Tamás Sarlós, Alexander J. Smola
Fastfood - Computing Hilbert Space Expansions in loglinear time. ICML (3) (2013)
Julien Mairal
Optimization with First-Order Surrogate Functions. ICML (3) (2013)
Hanna Kamyshanska, Roland Memisevic
On autoencoder scoring. ICML (3) (2013)
Martin Takác, Avleen Singh Bijral, Peter Richtárik, Nati Srebro
Mini-Batch Primal and Dual Methods for SVMs. ICML (3) (2013)
Mahsa Baktashmotlagh, Mehrtash Tafazzoli Harandi, Abbas Bigdeli, Brian C. Lovell, Mathieu Salzmann
Non-Linear Stationary Subspace Analysis with Application to Video Classification. ICML (3) (2013)
Dan Zhang, Jingrui He, Luo Si, Richard D. Lawrence
MILEAGE: Multiple Instance LEArning with Global Embedding. ICML (3) (2013)
Tue Herlau, Morten Mørup, Mikkel N. Schmidt
Modeling Temporal Evolution and Multiscale Structure in Networks. ICML (3) (2013)
Weicong Ding, Mohammad Hossein Rohban, Prakash Ishwar, Venkatesh Saligrama
Topic Discovery through Data Dependent and Random Projections. ICML (3) (2013)
Sebastian Brechtel, Tobias Gindele, Rüdiger Dillmann
Solving Continuous POMDPs: Value Iteration with Incremental Learning of an Efficient Space Representation. ICML (3) (2013)
Volodymyr Kuleshov
Fast algorithms for sparse principal component analysis based on Rayleigh quotient iteration. ICML (3) (2013)
Minje Kim, Paris Smaragdis
Manifold Preserving Hierarchical Topic Models for Quantization and Approximation. ICML (3) (2013)
Ke Zhou, Hongyuan Zha, Le Song
Learning Triggering Kernels for Multi-dimensional Hawkes Processes. ICML (3) (2013)
Andrew Gordon Wilson, Ryan Prescott Adams
Gaussian Process Kernels for Pattern Discovery and Extrapolation. ICML (3) (2013)
Alon Zweig, Daphna Weinshall
Hierarchical Regularization Cascade for Joint Learning. ICML (3) (2013)
Kohei Ogawa, Yoshiki Suzuki, Ichiro Takeuchi
Safe Screening of Non-Support Vectors in Pathwise SVM Computation. ICML (3) (2013)
Ashish Gupta, Murat Ayhan, Anthony Maida
Natural Image Bases to Represent Neuroimaging Data. ICML (3) (2013)
Aviv Tamar, Dotan Di Castro, Shie Mannor
Temporal Difference Methods for the Variance of the Reward To Go. ICML (3) (2013)
Peng Sun, Jie Zhou
Saving Evaluation Time for the Decision Function in Boosting: Representation and Reordering Base Learner. ICML (3) (2013)
Kostadin Georgiev, Preslav Nakov
A non-IID Framework for Collaborative Filtering with Restricted Boltzmann Machines. ICML (3) (2013)
Amr Ahmed, Liangjie Hong, Alexander J. Smola
Nested Chinese Restaurant Franchise Process: Applications to User Tracking and Document Modeling. ICML (3) (2013)
Marc G. Bellemare, Joel Veness, Michael Bowling
Bayesian Learning of Recursively Factored Environments. ICML (3) (2013)
Max Vladymyrov, Miguel Á. Carreira-Perpiñán
Entropic Affinities: Properties and Efficient Numerical Computation. ICML (3) (2013)
Marco Cuturi, Alexandre d'Aspremont
Mean Reversion with a Variance Threshold. ICML (3) (2013)
Pascal Germain, Amaury Habrard, François Laviolette, Emilie Morvant
A PAC-Bayesian Approach for Domain Adaptation with Specialization to Linear Classifiers. ICML (3) (2013)
James C. Ross, Jennifer G. Dy
Nonparametric Mixture of Gaussian Processes with Constraints. ICML (3) (2013)