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Spotlight
Thu Jul 21 07:30 AM -- 07:35 AM (PDT) @ Room 310
Adapting k-means Algorithms for Outliers
In Optimization/Reinforcement Learning
Christoph Grunau · Vaclav Rozhon
Spotlight
Thu Jul 21 07:35 AM -- 07:40 AM (PDT) @ Room 310
Accelerated, Optimal and Parallel: Some results on model-based stochastic optimization
In Optimization/Reinforcement Learning
Karan Chadha · Gary Cheng · John Duchi
Spotlight
Thu Jul 21 07:40 AM -- 07:45 AM (PDT) @ Room 310
Online Algorithms with Multiple Predictions
In Optimization/Reinforcement Learning
Keerti Anand · Rong Ge · Amit Kumar · Debmalya Panigrahi
Spotlight
Thu Jul 21 07:45 AM -- 07:50 AM (PDT) @ Room 310
Parsimonious Learning-Augmented Caching
In Optimization/Reinforcement Learning
Sungjin Im · Ravi Kumar · Aditya Petety · Manish Purohit
Spotlight
Thu Jul 21 07:50 AM -- 07:55 AM (PDT) @ Room 310
RUMs from Head-to-Head Contests
In Optimization/Reinforcement Learning
Matteo Almanza · Flavio Chierichetti · Ravi Kumar · Alessandro Panconesi · Andrew Tomkins
Spotlight
Thu Jul 21 07:55 AM -- 08:00 AM (PDT) @ Room 310
Quant-BnB: A Scalable Branch-and-Bound Method for Optimal Decision Trees with Continuous Features
In Optimization/Reinforcement Learning
Rahul Mazumder · Xiang Meng · Haoyue Wang
Spotlight
Thu Jul 21 08:00 AM -- 08:05 AM (PDT) @ Room 310
Robustness in Multi-Objective Submodular Optimization: a Quantile Approach
In Optimization/Reinforcement Learning
Cedric Malherbe · Kevin Scaman
Oral
Thu Jul 21 08:05 AM -- 08:25 AM (PDT) @ Room 310
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control
In Optimization/Reinforcement Learning
Simone Parisi · Aravind Rajeswaran · Senthil Purushwalkam · Abhinav Gupta
Spotlight
Thu Jul 21 08:25 AM -- 08:30 AM (PDT) @ Room 310
COLA: Consistent Learning with Opponent-Learning Awareness
In Optimization/Reinforcement Learning
Timon Willi · Alistair Letcher · Johannes Treutlein · Jakob Foerster
Spotlight
Thu Jul 21 08:30 AM -- 08:35 AM (PDT) @ Room 310
A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games
In Optimization/Reinforcement Learning
Wei Xiong · Han Zhong · Chengshuai Shi · Cong Shen · Tong Zhang
Spotlight
Thu Jul 21 08:35 AM -- 08:40 AM (PDT) @ Room 310
A Framework for Learning to Request Rich and Contextually Useful Information from Humans
In Optimization/Reinforcement Learning
Khanh Nguyen · Yonatan Bisk · Hal Daumé III
Spotlight
Thu Jul 21 08:40 AM -- 08:45 AM (PDT) @ Room 310
Learning Stochastic Shortest Path with Linear Function Approximation
In Optimization/Reinforcement Learning
Yifei Min · Jiafan He · Tianhao Wang · Quanquan Gu
Spotlight
Thu Jul 21 08:45 AM -- 08:50 AM (PDT) @ Room 310
Difference Advantage Estimation for Multi-Agent Policy Gradients
In Optimization/Reinforcement Learning
yueheng li · Guangming Xie · Zongqing Lu
Spotlight
Thu Jul 21 08:50 AM -- 08:55 AM (PDT) @ Room 310
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification
In Optimization/Reinforcement Learning
Ling Pan · Longbo Huang · Tengyu Ma · Huazhe Xu
Spotlight
Thu Jul 21 08:55 AM -- 09:00 AM (PDT) @ Room 310
Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets
In Optimization/Reinforcement Learning
Han Zhong · Wei Xiong · Jiyuan Tan · Liwei Wang · Tong Zhang · Zhaoran Wang · Zhuoran Yang