Papers
Matrix Completion from Fewer Entries: Spectral Detectability and Rank Estimation
Alaa Saade, Florent Krzakala, Lenka Zdeborová
Matrix Completion Under Monotonic Single Index Models
Ravi Sastry Ganti, Laura Balzano, Rebecca Willett
Matrix Completion with Noisy Side Information
Kai-Yang Chiang, Cho-Jui Hsieh, Inderjit S Dhillon
Matrix Manifold Optimization for Gaussian Mixtures
Reshad Hosseini, Suvrit Sra
Max-Margin Deep Generative Models
Chongxuan Li, Jun Zhu, Tianlin Shi et al.
Max-Margin Majority Voting for Learning from Crowds
TIAN TIAN, Jun Zhu
M-Best-Diverse Labelings for Submodular Energies and Beyond
Alexander Kirillov, Dmytro Shlezinger, Dmitry P Vetrov et al.
MCMC for Variationally Sparse Gaussian Processes
James Hensman, Alexander G Matthews, Maurizio Filippone et al.
Measuring Sample Quality with Stein's Method
Jackson Gorham, Lester Mackey
Mind the Gap: A Generative Approach to Interpretable Feature Selection and Extraction
Been Kim, Julie A Shah, Finale Doshi-Velez
Minimax Time Series Prediction
Wouter M. Koolen, Alan Malek, Peter L Bartlett et al.
Minimum Weight Perfect Matching via Blossom Belief Propagation
Sung-Soo Ahn, Sejun Park, Michael Chertkov et al.
Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications
Kai Wei, Rishabh K Iyer, Shengjie Wang et al.
Mixing Time Estimation in Reversible Markov Chains from a Single Sample Path
Daniel J. Hsu, Aryeh Kontorovich, Csaba Szepesvari
Model-Based Relative Entropy Stochastic Search
Abbas Abdolmaleki, Rudolf Lioutikov, Jan R Peters et al.
Monotone k-Submodular Function Maximization with Size Constraints
Naoto Ohsaka, Yuichi Yoshida
M-Statistic for Kernel Change-Point Detection
Shuang Li, Yao Xie, Hanjun Dai et al.
Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms
Yunwen Lei, Urun Dogan, Alexander Binder et al.
Natural Neural Networks
Guillaume Desjardins, Karen Simonyan, Razvan Pascanu et al.
Nearly Optimal Private LASSO
Kunal Talwar, Abhradeep Guha Thakurta, Li Zhang
Neural Adaptive Sequential Monte Carlo
Shixiang (Shane) Gu, Zoubin Ghahramani, Richard E Turner
NEXT: A System for Real-World Development, Evaluation, and Application of Active Learning
Kevin G. Jamieson, Lalit Jain, Chris Fernandez et al.