Publication Thompson Sampling for (Combinatorial) Pure Exploration Siwei Wang, Jun Zhu International Conference on Machine Learning | July 2022
Publication Visual Attention Emerges from Recurrent Sparse Reconstruction Baifeng Shi, Yale Song, Neel Joshi, Xin Wang, Trevor Darrell ICML 2022 | July 2022
Publication Versatile Dueling Bandits: Best-of-both World Analyses for Learning from Relative Preferences Aadirupa Saha, Pierre Gaillard ICML 2022 | July 2022
Publication Universal and data-adaptive algorithms for model selection in linear contextual bandits Vidya Muthukumar, Akshay Krishnamurthy ICML 2022 | July 2022
Publication PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance Qingru Zhang, Simiao Zuo, Chen Liang, Alexander Bukharin, Pengcheng He, Weizhu Chen, Tuo Zhao ICML 2022 | July 2022
Publication Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods Yi Wan, Harm van Seijen, Ida Momennejad, Sarath Chandar, Janarthanan Rajendran, Ali Rahimi-Kalahroudi ICML 2022 | July 2022
Publication SE(3) Equivariant Graph Neural Networks with Complete Local Frames weitao du, He Zhang, Yuanqi Du, Qi Meng, Wei Chen, Tie-Yan Liu, Nanning Zheng, Bin Shao ICML 2022 | July 2022
Publication Data Augmentation as Feature Manipulation Ruoqi Shen, Sébastien Bubeck, Suriya Gunasekar ICML 2022 | July 2022
Publication Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness Adam Foster, Arpi Vezer, Craig Glastonbury, Páidí Creed, Sam Abujudeh, Aaron Sim ICML 2022 | July 2022
Publication Branching Reinforcement Learning Yihan Du, Wei Chen Proceedings of the 39th International Conference on Machine Learning (ICML) | July 2022