Papers
Message-Passing Algorithms for MAP Estimation Using DC Programming
Akshat Kumar, Shlomo Zilberstein, Marc Toussaint
Meta-Gaussian Information Bottleneck
Melanie Rey, Volker Roth
Metric and Kernel Learning Using a Linear Transformation
Prateek Jain, Brian Kulis, Jason V. Davis et al.
Minimal Coordinate Formulation of Contact Dynamics in Operational Space
Abhinandan Jain, Cory Crean, Calvin Kuo et al.
Minimax hypothesis testing for curve registration
Olivier Collier
Minimax Manifold Estimation
Christopher Genovese, Marco Perone-Pacifico, Isabella Verdinelli et al.
Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL
Nishant Mehta, Dongryeol Lee, Alexander G. Gray
Minimax-Optimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming
Garvesh Raskutti, Martin J. Wainwright, Bin Yu
Minimax rates for homology inference
Sivaraman Balakrishnan, Alesandro Rinaldo, Don Sheehy et al.
Minimax Rates of Estimation for Sparse PCA in High Dimensions
Vincent Vu, Jing Lei
Minimization of Continuous Bethe Approximations: A Positive Variation
Jason Pacheco, Erik B. Sudderth
Minimizing Sparse High-Order Energies by Submodular Vertex-Cover
Andrew Delong, Olga Veksler, Anton Osokin et al.
Minimizing Uncertainty in Pipelines
Nilesh Dalvi, Aditya Parameswaran, Vibhor Rastogi
Mirror Descent Meets Fixed Share (and feels no regret)
Nicolò Cesa-bianchi, Pierre Gaillard, Gabor Lugosi et al.
Mixability in Statistical Learning
Tim V. Erven, Peter Grünwald, Mark D. Reid et al.
Mixability is Bayes Risk Curvature Relative to Log Loss
Tim van Erven, Mark D. Reid, Robert C. Williamson
Mixing Properties of Conditional Markov Chains with Unbounded Feature Functions
Mathieu Sinn, Bei Chen
ML-Flex: A Flexible Toolbox for Performing Classification Analyses In Parallel
Stephen R. Piccolo, Lewis J. Frey
Modeling and Prediction of Pedestrian Behavior based on the Sub-goal Concept
Tetsushi Ikeda, Yoshihiro Chigodo, Daniel Rea et al.
Modelling Reciprocating Relationships with Hawkes Processes
Charles Blundell, Jeff Beck, Katherine A. Heller
Monte Carlo Methods for Maximum Margin Supervised Topic Models
Qixia Jiang, Jun Zhu, Maosong Sun et al.
More Is Better: Large Scale Partially-supervised Sentiment Classification
Yoav Haimovitch, Koby Crammer, Shie Mannor
Movement Segmentation and Recognition for Imitation Learning
Franziska Meier, Evangelos Theodorou, Stefan Schaal
Multi-armed Bandit Problems with History
Pannagadatta Shivaswamy, Thorsten Joachims
Multi-Assignment Clustering for Boolean Data
Mario Frank, Andreas P. Streich, David Basin et al.