Papers
Max-Mahalanobis Linear Discriminant Analysis Networks
Tianyu Pang, Chao Du, Jun Zhu
Mean Field Multi-Agent Reinforcement Learning
Yaodong Yang, Rui Luo, Minne Li et al.
Measuring abstract reasoning in neural networks
David Barrett, Felix Hill, Adam Santoro et al.
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels
Lu Jiang, Zhengyuan Zhou, Thomas Leung et al.
Message Passing Stein Variational Gradient Descent
Jingwei Zhuo, Chang Liu, Jiaxin Shi et al.
Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory
Ron Amit, Ron Meir
Minibatch Gibbs Sampling on Large Graphical Models
Chris De Sa, Vincent Chen, Wing Wong
Minimal I-MAP MCMC for Scalable Structure Discovery in Causal DAG Models
Raj Agrawal, Caroline Uhler, Tamara Broderick
Minimax Concave Penalized Multi-Armed Bandit Model with High-Dimensional Covariates
Xue Wang, Mingcheng Wei, Tao Yao
MISSION: Ultra Large-Scale Feature Selection using Count-Sketches
Amirali Aghazadeh, Ryan Spring, Daniel Lejeune et al.
Mitigating Bias in Adaptive Data Gathering via Differential Privacy
Seth Neel, Aaron Roth
Mixed batches and symmetric discriminators for GAN training
Thomas LUCAS, Corentin Tallec, Yann Ollivier et al.
Mix & Match Agent Curricula for Reinforcement Learning
Wojciech Czarnecki, Siddhant Jayakumar, Max Jaderberg et al.
Modeling Others using Oneself in Multi-Agent Reinforcement Learning
Roberta Raileanu, Emily Denton, Arthur Szlam et al.
Modeling Sparse Deviations for Compressed Sensing using Generative Models
Manik Dhar, Aditya Grover, Stefano Ermon
Model-Level Dual Learning
Yingce Xia, Xu Tan, Fei Tian et al.
More Robust Doubly Robust Off-policy Evaluation
Mehrdad Farajtabar, Yinlam Chow, Mohammad Ghavamzadeh
MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning
Bo Zhao, Xinwei Sun, Yanwei Fu et al.
Multicalibration: Calibration for the (Computationally-Identifiable) Masses
Ursula Hebert-Johnson, Michael Kim, Omer Reingold et al.
Multi-Fidelity Black-Box Optimization with Hierarchical Partitions
Rajat Sen, Kirthevasan Kandasamy, Sanjay Shakkottai
Mutual Information Neural Estimation
Mohamed Ishmael Belghazi, Aristide Baratin, Sai Rajeshwar et al.
Nearly Optimal Robust Subspace Tracking
Praneeth Narayanamurthy, Namrata Vaswani
NetGAN: Generating Graphs via Random Walks
Aleksandar Bojchevski, Oleksandr Shchur, Daniel Zügner et al.
Network Global Testing by Counting Graphlets
Jiashun Jin, Zheng Ke, Shengming Luo