论文与出版物 A complete characterization of linear estimators for offline policy evaluation Juan C. Perdomo, Akshay Krishnamurthy, Peter Bartlett, Sham Kakade Journal of Machine Learning Research | July 2023
论文与出版物 On the Complexity of Multi-Agent Decision Making: From Learning in Games to Partial Monitoring Dylan Foster, Dean P. Foster, Noah Golowich, Alexander Rakhlin Conference on Learning Theory | July 2023
论文与出版物 Instance-Optimality in Interactive Decision Making: Toward a Non-Asymptotic Theory Andrew Wagenmaker, Dylan Foster Conference on Learning Theory | July 2023
论文与出版物 Large Language Models for Supply Chain Optimization Beibin Li, Konstantina Mellou, Bo Zhang, Jeevan Pathuri, Ishai Menache July 2023 July 2023 项目
论文与出版物 The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding Hao Fang, Anusha Balakrishnan, Harsh Jhamtani, John Bufe, Jean Crawford, Jayant Krishnamurthy, Adam Pauls, Jason Eisner, Jacob Andreas, Dan Klein Findings of ACL 2023 | July 2023 视频
论文与出版物 Privacy-Preserving Domain Adaptation of Semantic Parsers Fatemehsadat Mireshghallah, Yu Su, Richard Shin, Tatsunori Hashimoto, Jason Eisner ACL 2023 | July 2023 视频
论文与出版物 Overview of the MEDIQA-Chat 2023 Shared Tasks on the Summarization & Generation of Doctor-Patient Conversations Asma Ben Abacha, Wen-wai Yim, Griffin Adams, Neal Snider, Meliha Yetisgen ClinicalNLP@ACL 2023 | July 2023
论文与出版物 Semi-Offline Reinforcement Learning for Optimized Text Generation Changyu Chen, Xiting Wang, Yiqiao Jin, Victor Ye Dong, Li Dong, Jim Cao, Yi Liu, Rui Yan International Conference on Machine Learning (ICML) | July 2023
论文与出版物 Generative Sentiment Transfer via Adaptive Masking Yingze Xie, Jie Xu, Liqiang QIao, Feiran Huang, Yun Liu, Chaozhuo Li PAKDD 2023 | July 2023 Best Paper Runner-up
论文与出版物 Learning hidden Markov models using conditional samples Sham Kakade, Akshay Krishnamurthy, Gaurav Mahajan, Cyril Zhang Conference on Learning Theory | July 2023