Papers
Model Comparison for Semantic Grouping
Francisco Vargas, Kamen Brestnichki, Nils Hammerla
Model Function Based Conditional Gradient Method with Armijo-like Line Search
Peter Ochs, Yura Malitsky
Moment-Based Variational Inference for Markov Jump Processes
Christian Wildner, Heinz Koeppl
Monge blunts Bayes: Hardness Results for Adversarial Training
Zac Cranko, Aditya Menon, Richard Nock et al.
MONK Outlier-Robust Mean Embedding Estimation by Median-of-Means
Matthieu Lerasle, Zoltan Szabo, Timothée Mathieu et al.
More Efficient Off-Policy Evaluation through Regularized Targeted Learning
Aurelien Bibaut, Ivana Malenica, Nikos Vlassis et al.
Multi-Agent Adversarial Inverse Reinforcement Learning
Lantao Yu, Jiaming Song, Stefano Ermon
Multi-Frequency Phase Synchronization
Tingran Gao, Zhizhen Zhao
Multi-Frequency Vector Diffusion Maps
Yifeng Fan, Zhizhen Zhao
Multi-objective training of Generative Adversarial Networks with multiple discriminators
Isabela Albuquerque, Joao Monteiro, Thang Doan et al.
Multi-Object Representation Learning with Iterative Variational Inference
Klaus Greff, Raphaël Lopez Kaufman, Rishabh Kabra et al.
Multiplicative Weights Updates as a distributed constrained optimization algorithm: Convergence to second-order stationary points almost always
Ioannis Panageas, Georgios Piliouras, Xiao Wang
Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching
Ziliang Chen, Zhanfu Yang, Xiaoxi Wang et al.
Multivariate Submodular Optimization
Richard Santiago, F. Bruce Shepherd
Myopic Posterior Sampling for Adaptive Goal Oriented Design of Experiments
Kirthevasan Kandasamy, Willie Neiswanger, Reed Zhang et al.
NAS-Bench-101: Towards Reproducible Neural Architecture Search
Chris Ying, Aaron Klein, Eric Christiansen et al.
NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks
Yandong Li, Lijun Li, Liqiang Wang et al.
Natural Analysts in Adaptive Data Analysis
Tijana Zrnic, Moritz Hardt
Near optimal finite time identification of arbitrary linear dynamical systems
Tuhin Sarkar, Alexander Rakhlin
Neural Collaborative Subspace Clustering
Tong Zhang, Pan Ji, Mehrtash Harandi et al.
Neural Inverse Knitting: From Images to Manufacturing Instructions
Alexandre Kaspar, Tae-Hyun Oh, Liane Makatura et al.
Neural Joint Source-Channel Coding
Kristy Choi, Kedar Tatwawadi, Aditya Grover et al.
Neural Logic Reinforcement Learning
Zhengyao Jiang, Shan Luo