Publication Exploring LLM-based Agents for Root Cause Analysis Devjeet Roy, Xuchao Zhang, Rashi Bhave, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan FSE ’24: 32nd ACM International Conference on the Foundations of Software Engineering | July 2024 Project
Publication Optimal online discrepancy minimization Janardhan (Jana) Kulkarni, Victor Reis, Thomas Rothvoss STOC’24 | June 2024
Publication Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems Yifan Xia, Xianliang Yang, Zichuan Liu, Zhihao Liu, Lei Song, Jiang Bian 2024 International Conference on Machine Learning | June 2024
Publication Differentially Private Synthetic Data via Foundation Model APIs 1: Images Zinan Lin, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Harsha Nori, Sergey Yekhanin ICLR 2024 | May 2024 Github Project
Publication Privately Aligning Language Models with Reinforcement Learning Fan Wu, Huseyin Inan, Arturs Backurs, Varun Chandrasekaran, Janardhan (Jana) Kulkarni, Robert Sim ICLR 2024 | May 2024 Project
Publication Selective Pre-training for Private Fine-tuning Da Yu, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Zinan Lin, Saurabh Naik, Tomasz Lukasz Religa, Jian Yin, Huishuai Zhang TMLR | May 2024 Project
Publication Cascading Reinforcement Learning Yihan Du, R. Srikant, Wei Chen Proceedings of the 12th International Conference on Learning Representations (ICLR) | May 2024
Publication Combinatorial Bandits for Maximum Value Reward Function under Value-index Feedback Yiliu Wang, Wei Chen, Milan Vojnovic Proceedings of the 12th International Conference on Learning Representations (ICLR) | May 2024
Publication Efficiently Computing Similarities to Private Datasets Arturs Backurs, Zinan Lin, Sepideh Mahabadi, Sandeep Silwal, Jakub Tarnawski ICLR 2024 | May 2024 Project
Publication Fairness in Submodular Maximization over a Matroid Constraint Marwa El Halabi, Jakub Tarnawski, Ashkan Norouzi-Fard, Thuy-Duong Vuong AISTATS 2024 | May 2024
