Publication Optimizing Learning-to-Rank Models for Ex-Post Fair Relevance Sruthi Gorantla, Eshaan Bhansali, Amit Deshpande, Anand Louis July 2024
Publication Optimizing Learning-to-Rank Models for Ex-Post Fair Relevance Sruthi Gorantla, Eshaan Bhansali, Amit Deshpande, Anand Louis 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05) | July 2024, pp. 1525-1534
Publication ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection Yuhang Chen, C. Zhang, Minghua Ma, Yudong Liu, Ruomeng Ding, Bo Li, Shilin He, S. Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang PVLDB’24 | July 2024, Vol abs/2307.00754
Publication Differentially Private Synthetic Data via Foundation Model APIs 2: Text Chulin Xie, Zinan Lin, Arturs Backurs, Sivakanth Gopi, Da Yu, Huseyin Inan, Harsha Nori, Haotian Jiang, Huishuai Zhang, Yin Tat Lee, Bo Li, Sergey Yekhanin ICML 2024 | July 2024 Spotlight Project
Publication Arena Learning: Build Data Flywheel for LLMs Post-training via Simulated Chatbot Arena Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Qingwei Lin 林庆维, Jianguang Lou, Shifeng Chen, Yansong Tang, Weizhu Chen July 2024 Preprint
Publication Streaming Algorithms for Connectivity Augmentation Ce Jin, Michael Kapralov, Sepideh Mahabadi, Ali Vakilian International Colloquium on Automata, Languages, and Programming (ICALP) | July 2024
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 Optimizing Learning-to-Rank Models for Ex-Post Fair Relevance Sruthi Gorantla, Eshaan Bhansali, Amit Deshpande, Anand Louis 2024 International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2024
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
