Papers
4,025 papers found
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.
Near-Optimal Differentially Private Reinforcement Learning
Dan Qiao, Yu-Xiang Wang
Neural Discovery of Permutation Subgroups
Pavan Karjol, Rohan Kashyap, Prathosh AP
Neural Laplace Control for Continuous-time Delayed Systems
Samuel Holt, Alihan Hüyük, Zhaozhi Qian et al.
Neural Simulated Annealing
Alvaro H.C. Correia, Daniel E. Worrall, Roberto Bondesan
NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning
Muralikrishnna G Sethuraman, Romain Lopez, Rahul Mohan et al.
Noise-Aware Statistical Inference with Differentially Private Synthetic Data
Ossi Räisä, Joonas Jälkö, Samuel Kaski et al.
Noisy Low-rank Matrix Optimization: Geometry of Local Minima and Convergence Rate
Ziye Ma, Somayeh Sojoudi
Nonmyopic Multiclass Active Search with Diminishing Returns for Diverse Discovery
Quan Nguyen, Roman Garnett