Papers
Multi-Objective GFlowNets
Moksh Jain, Sharath Chandra Raparthy, Alex Hernández-Garcı́a et al.
Multi-Objective Population Based Training
Arkadiy Dushatskiy, Alexander Chebykin, Tanja Alderliesten et al.
Multiple Thinking Achieving Meta-Ability Decoupling for Object Navigation
Ronghao Dang, Lu Chen, Liuyi Wang et al.
Multiplier Bootstrap-based Exploration
Runzhe Wan, Haoyu Wei, Branislav Kveton et al.
Multiply Robust Off-policy Evaluation and Learning under Truncation by Death
Jianing Chu, Shu Yang, Wenbin Lu
MultiRobustBench: Benchmarking Robustness Against Multiple Attacks
Sihui Dai, Saeed Mahloujifar, Chong Xiang et al.
Multisample Flow Matching: Straightening Flows with Minibatch Couplings
Aram-Alexandre Pooladian, Heli Ben-Hamu, Carles Domingo-Enrich et al.
Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries
Charlotte Loh, Seungwook Han, Shivchander Sudalairaj et al.
Multi-Task Differential Privacy Under Distribution Skew
Walid Krichene, Prateek Jain, Shuang Song et al.
Multi-task Hierarchical Adversarial Inverse Reinforcement Learning
Jiayu Chen, Dipesh Tamboli, Tian Lan et al.
Multi-Task Off-Policy Learning from Bandit Feedback
Joey Hong, Branislav Kveton, Manzil Zaheer et al.
Multi-task Representation Learning for Pure Exploration in Linear Bandits
Yihan Du, Longbo Huang, Wen Sun
Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and Removal
Naresh Kumar Gurulingan, Bahram Zonooz, Elahe Arani
Multi-User Reinforcement Learning with Low Rank Rewards
Dheeraj Mysore Nagaraj, Suhas S Kowshik, Naman Agarwal et al.
Multi-View Masked World Models for Visual Robotic Manipulation
Younggyo Seo, Junsu Kim, Stephen James et al.
Muse: Text-To-Image Generation via Masked Generative Transformers
Huiwen Chang, Han Zhang, Jarred Barber et al.
MyoDex: A Generalizable Prior for Dexterous Manipulation
Vittorio Caggiano, Sudeep Dasari, Vikash Kumar
N$\text{A}^{\text{2}}$Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning
Zichuan Liu, Yuanyang Zhu, Chunlin Chen
Naive imputation implicitly regularizes high-dimensional linear models
Alexis Ayme, Claire Boyer, Aymeric Dieuleveut et al.
Nearly-Linear Time and Streaming Algorithms for Outlier-Robust PCA
Ilias Diakonikolas, Daniel Kane, Ankit Pensia et al.
Nearly Minimax Optimal Regret for Learning Linear Mixture Stochastic Shortest Path
Qiwei Di, Jiafan He, Dongruo Zhou et al.
Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes
Jiafan He, Heyang Zhao, Dongruo Zhou et al.
Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel Regression
Junfan Li, Shizhong Liao
Nearly Optimal Competitive Ratio for Online Allocation Problems with Two-sided Resource Constraints and Finite Requests
Qixin Zhang, Wenbing Ye, Zaiyi Chen et al.
Nearly-Optimal Hierarchical Clustering for Well-Clustered Graphs
Steinar Laenen, Bogdan Adrian Manghiuc, He Sun