Publication Learning hidden Markov models using conditional samples Sham Kakade, Akshay Krishnamurthy, Gaurav Mahajan, Cyril Zhang Conference on Learning Theory | July 2023
Publication Contextual Bandits with Packing and Covering Constraints: A Modular Lagrangian Approach via Regression Aleksandrs Slivkins (slivkins), Karthik Abinav Sankararaman, Dylan Foster Conference on Learning Theory | July 2023
Publication Poverty rate prediction using multi-modal survey and earth observation data Simone Fobi Nsutezo, Manuel Cardona, Elliott Collins, Caleb Robinson, Anthony Ortiz, Tina Sederholm, Rahul Dodhia, Juan M. Lavista Ferres COMPASS ’23: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies | July 2023 Project
Publication Tight Guarantees for Interactive Decision Making with the Decision-Estimation Coefficient Dylan Foster, Noah Golowich, Yanjun Han Conference on Learning Theory | July 2023
Publication UnGANable: Defending Against GAN-based Face Manipulation Zheng Li, Ning Yu, Ahmed Salem, Michael Backes, Mario Fritz, Yang Zhang USENIX Security Symposium | July 2023
Publication HermEs: Interactive Spreadsheet Formula Prediction via Hierarchical Formulet Expansion Wanrong He, Haoyu Dong, Yihuai Gao, Zhichao Fan, Xingzhuo Guo, Zhitao Hou, Xiao Lv, Ran Jia, Shi Han, Dongmei Zhang ACL 2023 MainTrack | July 2023
Publication Contextual Combinatorial Bandits with Probabilistically Triggered Arms Xutong Liu, Jinhang Zuo, Siwei Wang, John C.S. Lui, Mohammad Hajiesmaili, Adam Wierman, Wei Chen Proceedings of the 40th International Conference on Machine Learning (ICML) | July 2023
Publication Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits Zongqi Wan, Jialin Zhang, Wei Chen, Xiaoming Sun, Zhijie Zhang Proceedings of the 40th International Conference on Machine Learning (ICML) | July 2023
Publication Bayesian Estimation of Differential Privacy Santiago Zanella-Béguelin, Lukas Wutschitz, Shruti Tople, Ahmed Salem, Victor Ruehle, Andrew Paverd, Mohammad Naseri, Boris Köpf, Daniel Jones International Conference on Machine Learning | July 2023 Editor(s): Barbara Engelhardt, Emma Brunskill, Kyunghyun Cho Project
Publication Task-Aware Specialization for Efficient and Robust Dense Retrieval for Open-Domain Question Answering Hao Cheng, Hao Fang, Xiaodong Liu, Jianfeng Gao ACL 2023 | July 2023