Papers
Membership Inference Attacks against Synthetic Data through Overfitting Detection
Boris van Breugel, Hao Sun, Zhaozhi Qian et al.
Meta-learning for Robust Anomaly Detection
Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi et al.
Meta-Learning with Adjoint Methods
Shibo Li, Zheng Wang, Akil Narayan et al.
Meta-Uncertainty in Bayesian Model Comparison
Marvin Schmitt, Stefan T. Radev, Paul-Christian Bürkner
Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets
Hussein Hazimeh, Natalia Ponomareva
Minimax-Bayes Reinforcement Learning
Thomas Kleine Buening, Christos Dimitrakakis, Hannes Eriksson et al.
Minimax Nonparametric Two-Sample Test under Adversarial Losses
Rong Tang, Yun Yang
Minimum-Entropy Coupling Approximation Guarantees Beyond the Majorization Barrier
Spencer Compton, Dmitriy Katz, Benjamin Qi et al.
Minority Oversampling for Imbalanced Data via Class-Preserving Regularized Auto-Encoders
Arnab Kumar Mondal, Lakshya Singhal, Piyush Tiwary et al.
Mixed-Effect Thompson Sampling
Imad Aouali, Branislav Kveton, Sumeet Katariya
Mixed Linear Regression via Approximate Message Passing
Nelvin Tan, Ramji Venkataramanan
Mixtures of All Trees
Nikil Roashan Selvam, Honghua Zhang, Guy Van den Broeck
MMD-B-Fair: Learning Fair Representations with Statistical Testing
Namrata Deka, Danica J. Sutherland
Mode-constrained Model-based Reinforcement Learning via Gaussian Processes
Aidan Scannell, Carl Henrik Ek, Arthur Richards
Model-Based Uncertainty in Value Functions
Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska et al.
Model-X Sequential Testing for Conditional Independence via Testing by Betting
Shalev Shaer, Gal Maman, Yaniv Romano
Mode-Seeking Divergences: Theory and Applications to GANs
Cheuk Ting Li, Farzan Farnia
Multi-Agent congestion cost minimization with linear function approximations
Prashant Trivedi, Nandyala Hemachandra
Multi-armed Bandit Experimental Design: Online Decision-making and Adaptive Inference
David Simchi-Levi, Chonghuan Wang
Multi-Fidelity Bayesian Optimization with Unreliable Information Sources
Petrus Mikkola, Julien Martinelli, Louis Filstroff et al.
Multilevel Bayesian Quadrature
Kaiyu Li, Daniel Giles, Toni Karvonen et al.
Multiple-policy High-confidence Policy Evaluation
Chris Dann, Mohammad Ghavamzadeh, Teodor V. Marinov
Multi-task Representation Learning with Stochastic Linear Bandits
Leonardo Cella, Karim Lounici, Grégoire Pacreau et al.
Nash Equilibria and Pitfalls of Adversarial Training in Adversarial Robustness Games
Maria-Florina Balcan, Rattana Pukdee, Pradeep Ravikumar et al.
Nearly Optimal Latent State Decoding in Block MDPs
Yassir Jedra, Junghyun Lee, Alexandre Proutiere et al.