Papers
MAP estimation in Binary MRFs via Bipartite Multi-cuts
Sashank J. Reddi, Sunita Sarawagi, Sundar Vishwanathan
Minimum Average Cost Clustering
Kiyohito Nagano, Yoshinobu Kawahara, Satoru Iwata
Mixture of time-warped trajectory models for movement decoding
Elaine Corbett, Eric Perreault, Konrad Koerding
Monte-Carlo Planning in Large POMDPs
David Silver, Joel Veness
Moreau-Yosida Regularization for Grouped Tree Structure Learning
Jun Liu, Jieping Ye
More data means less inference: A pseudo-max approach to structured learning
David Sontag, Ofer Meshi, Amir Globerson et al.
Movement extraction by detecting dynamics switches and repetitions
Silvia Chiappa, Jan R. Peters
Multi-label Multiple Kernel Learning by Stochastic Approximation: Application to Visual Object Recognition
Serhat Bucak, Rong Jin, Anil K. Jain
Multiparty Differential Privacy via Aggregation of Locally Trained Classifiers
Manas Pathak, Shantanu Rane, Bhiksha Raj
Multiple Kernel Learning and the SMO Algorithm
Zhaonan Sun, Nawanol Ampornpunt, Manik Varma et al.
Multi-Stage Dantzig Selector
Ji Liu, Peter Wonka, Jieping Ye
Multitask Learning without Label Correspondences
Novi Quadrianto, James Petterson, Tibério S. Caetano et al.
Multivariate Dyadic Regression Trees for Sparse Learning Problems
Han Liu, Xi Chen
Multi-View Active Learning in the Non-Realizable Case
Wei Wang, Zhi-Hua Zhou
Natural Policy Gradient Methods with Parameter-based Exploration for Control Tasks
Atsushi Miyamae, Yuichi Nagata, Isao Ono et al.
Near-Optimal Bayesian Active Learning with Noisy Observations
Daniel Golovin, Andreas Krause, Debajyoti Ray
Network Flow Algorithms for Structured Sparsity
Julien Mairal, Rodolphe Jenatton, Francis R. Bach et al.
New Adaptive Algorithms for Online Classification
Francesco Orabona, Koby Crammer
Nonparametric Bayesian Policy Priors for Reinforcement Learning
Finale Doshi-velez, David Wingate, Nicholas Roy et al.
Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable
Lauren Hannah, Warren Powell, David M. Blei
Non-Stochastic Bandit Slate Problems
Satyen Kale, Lev Reyzin, Robert E. Schapire
Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification
Li-jia Li, Hao Su, Li Fei-fei et al.
Occlusion Detection and Motion Estimation with Convex Optimization
Alper Ayvaci, Michalis Raptis, Stefano Soatto
On a Connection between Importance Sampling and the Likelihood Ratio Policy Gradient
Tang Jie, Pieter Abbeel
On Herding and the Perceptron Cycling Theorem
Andrew Gelfand, Yutian Chen, Laurens Maaten et al.