Papers
Local Similarity-Aware Deep Feature Embedding
Chen Huang, Chen Change Loy, Xiaoou Tang
Long-term Causal Effects via Behavioral Game Theory
Panagiotis Toulis, David C. Parkes
Low-Rank Regression with Tensor Responses
Guillaume Rabusseau, Hachem Kadri
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
Tolga Bolukbasi, Kai-Wei Chang, James Y Zou et al.
Mapping Estimation for Discrete Optimal Transport
Michaël Perrot, Nicolas Courty, Rémi Flamary et al.
Matching Networks for One Shot Learning
Oriol Vinyals, Charles Blundell, Timothy Lillicrap et al.
Matrix Completion has No Spurious Local Minimum
Rong Ge, Jason Lee, Tengyu Ma
Maximal Sparsity with Deep Networks?
Bo Xin, Yizhou Wang, Wen Gao et al.
Maximization of Approximately Submodular Functions
Thibaut Horel, Yaron Singer
Maximizing Influence in an Ising Network: A Mean-Field Optimal Solution
Christopher Lynn, Daniel D Lee
Measuring Neural Net Robustness with Constraints
Osbert Bastani, Yani Ioannou, Leonidas Lampropoulos et al.
Measuring the reliability of MCMC inference with bidirectional Monte Carlo
Roger B Grosse, Siddharth Ancha, Daniel M. Roy
Memory-Efficient Backpropagation Through Time
Audrunas Gruslys, Remi Munos, Ivo Danihelka et al.
MetaGrad: Multiple Learning Rates in Online Learning
Tim van Erven, Wouter M. Koolen
Minimax Estimation of Maximum Mean Discrepancy with Radial Kernels
Ilya O Tolstikhin, Bharath K. Sriperumbudur, Bernhard Schölkopf
Minimax Optimal Alternating Minimization for Kernel Nonparametric Tensor Learning
Taiji Suzuki, Heishiro Kanagawa, Hayato Kobayashi et al.
Minimizing Quadratic Functions in Constant Time
Kohei Hayashi, Yuichi Yoshida
Minimizing Regret on Reflexive Banach Spaces and Nash Equilibria in Continuous Zero-Sum Games
Maximilian Balandat, Walid Krichene, Claire Tomlin et al.
Mistake Bounds for Binary Matrix Completion
Mark Herbster, Stephen Pasteris, Massimiliano Pontil
Mixed Linear Regression with Multiple Components
Kai Zhong, Prateek Jain, Inderjit S Dhillon
Mixed vine copulas as joint models of spike counts and local field potentials
Arno Onken, Stefano Panzeri
MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild
Gregory Rogez, Cordelia Schmid
More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning
Xinyang Yi, Zhaoran Wang, Zhuoran Yang et al.
Multi-armed Bandits: Competing with Optimal Sequences
Zohar S Karnin, Oren Anava
Multimodal Residual Learning for Visual QA
Jin-Hwa Kim, Sang-Woo Lee, Donghyun Kwak et al.