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
Publication RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests Victor Chernozhukov, Whitney K. Newey, Victor Quintas-Martinez, Vasilis Syrgkanis ICML 2022 | July 2022
Publication Optimal and Efficient Dynamic Regret Algorithms for Non-Stationary Dueling Bandits Aadirupa Saha, Shubham Gupta ICML 2022 | July 2022
Publication Supervised Off-Policy Ranking Yue Jin, Yue Zhang, Tao Qin, Xudong Zhang, Jian Yuan, Houqiang Li, Tie-Yan Liu ICML 2022 | July 2022
Publication Sparsity in Partially Controllable Linear Systems Yonathan Efroni, Sham Kakade, Akshay Krishnamurthy, Cyril Zhang ICML 2022 | July 2022
Publication NeuralEF: Deconstructing Kernels by Deep Neural Networks Zhijie Deng, Jiaxin Shi, Jun Zhu ICML 2022 | July 2022