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
Publication An Intriguing Property of Geophysics Inversion Yinan Feng, Yinpeng Chen, Shihang Feng, Peng Jin, Zicheng Liu, Youzuo Lin ICML 2022 | July 2022
Publication A Framework for Learning to Request Rich and Contextually Useful Information from Humans Khanh Nguyen, Yonatan Bisk, Hal Daumé III ICML 2022 | July 2022
Publication A Convergence Theory for SVGD in the Population Limit under Talagrand’s Inequality T1 Adil Salim, Lukang Su, Peter Richtarik ICML 2022 | July 2022