Papers
Manifold-based Similarity Adaptation for Label Propagation
Masayuki Karasuyama, Hiroshi Mamitsuka
Mapping paradigm ontologies to and from the brain
Yannick Schwartz, Bertrand Thirion, Gael Varoquaux
Marginals-to-Models Reducibility
Tim Roughgarden, Michael Kearns
Matrix Completion From any Given Set of Observations
Troy Lee, Adi Shraibman
Matrix factorization with binary components
Martin Slawski, Matthias Hein, Pavlo Lutsik
Memoized Online Variational Inference for Dirichlet Process Mixture Models
Michael C Hughes, Erik Sudderth
Memory Limited, Streaming PCA
Ioannis Mitliagkas, Constantine Caramanis, Prateek Jain
Message Passing Inference with Chemical Reaction Networks
Nils E Napp, Ryan P. Adams
Mid-level Visual Element Discovery as Discriminative Mode Seeking
Carl Doersch, Abhinav Gupta, Alexei A Efros
Minimax Optimal Algorithms for Unconstrained Linear Optimization
Brendan McMahan, Jacob Abernethy
Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation
Martin Azizyan, Aarti Singh, Larry Wasserman
Mixed Optimization for Smooth Functions
Mehrdad Mahdavi, Lijun Zhang, Rong Jin
Modeling Clutter Perception using Parametric Proto-object Partitioning
Chen-Ping Yu, Wen-Yu Hua, Dimitris Samaras et al.
Modeling Overlapping Communities with Node Popularities
Prem Gopalan, Chong Wang, David Blei
Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition
Adel Javanmard, Andrea Montanari
Moment-based Uniform Deviation Bounds for $k$-means and Friends
Matus J Telgarsky, Sanjoy Dasgupta
More data speeds up training time in learning halfspaces over sparse vectors
Amit Daniely, Nati Linial, Shai Shalev-Shwartz
More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server
Qirong Ho, James Cipar, Henggang Cui et al.
(More) Efficient Reinforcement Learning via Posterior Sampling
Ian Osband, Daniel Russo, Benjamin Van Roy
Multiclass Total Variation Clustering
Xavier Bresson, Thomas Laurent, David Uminsky et al.
Multilinear Dynamical Systems for Tensor Time Series
Mark Rogers, Lei Li, Stuart Russell
Multi-Prediction Deep Boltzmann Machines
Ian Goodfellow, Mehdi Mirza, Aaron Courville et al.
Multiscale Dictionary Learning for Estimating Conditional Distributions
Francesca Petralia, Joshua T Vogelstein, David B Dunson
Multisensory Encoding, Decoding, and Identification
Aurel A. Lazar, Yevgeniy Slutskiy
Multi-Task Bayesian Optimization
Kevin Swersky, Jasper Snoek, Ryan P. Adams