Papers
Minimax Value Interval for Off-Policy Evaluation and Policy Optimization
Nan Jiang, Jiawei Huang
MinMax Methods for Optimal Transport and Beyond: Regularization, Approximation and Numerics
Luca De Gennaro Aquino, Stephan Eckstein
Mitigating Forgetting in Online Continual Learning via Instance-Aware Parameterization
Hung-Jen Chen, An-Chieh Cheng, Da-Cheng Juan et al.
Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments
Steven Jecmen, Hanrui Zhang, Ryan Liu et al.
Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions
Matthew Faw, Rajat Sen, Karthikeyan Shanmugam et al.
MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles
Zhennan Wang, Canqun Xiang, Wenbin Zou et al.
Model Agnostic Multilevel Explanations
Karthikeyan Natesan Ramamurthy, Bhanukiran Vinzamuri, Yunfeng Zhang et al.
Model-based Adversarial Meta-Reinforcement Learning
Zichuan Lin, Garrett Thomas, Guangwen Yang et al.
Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity
Kaiqing Zhang, Sham Kakade, Tamer Basar et al.
Model-based Policy Optimization with Unsupervised Model Adaptation
Jian Shen, Han Zhao, Weinan Zhang et al.
Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs
Jianzhun Du, Joseph Futoma, Finale Doshi-Velez
Model Class Reliance for Random Forests
Gavin Smith, Roberto Mansilla, James Goulding
Model Fusion via Optimal Transport
Sidak Pal Singh, Martin Jaggi
Modeling and Optimization Trade-off in Meta-learning
Katelyn Gao, Ozan Sener
Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows
Ruizhi Deng, Bo Chang, Marcus A Brubaker et al.
Modeling Noisy Annotations for Crowd Counting
Jia Wan, Antoni B. Chan
Modeling Shared responses in Neuroimaging Studies through MultiView ICA
Hugo Richard, Luigi Gresele, Aapo Hyvarinen et al.
Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction
Mariya Toneva, Otilia Stretcu, Barnabas Poczos et al.
Model Interpretability through the lens of Computational Complexity
Pablo Barceló, Mikaël Monet, Jorge Pérez et al.
Model Inversion Networks for Model-Based Optimization
Aviral Kumar, Sergey Levine
Model Rubik’s Cube: Twisting Resolution, Depth and Width for TinyNets
Kai Han, Yunhe Wang, Qiulin Zhang et al.
Model Selection for Production System via Automated Online Experiments
Zhenwen Dai, Praveen Chandar, Ghazal Fazelnia et al.
Model Selection in Contextual Stochastic Bandit Problems
Aldo Pacchiano, My Phan, Yasin Abbasi Yadkori et al.
Modern Hopfield Networks and Attention for Immune Repertoire Classification
Michael Widrich, Bernhard Schäfl, Milena Pavlović et al.