Publication m3: Accurate Flow-Level Performance Estimation using Machine Learning Chenning Li , Arash Nasr-Esfahany, Kevin Zhao , Kimia Noorbakhsh, Prateesh Goyal, Mohammad Alizadeh, Thomas Anderson ACM SIGCOMM | August 2024
Publication Collaborative Quest Completion with LLM-driven Non-Player Characters in Minecraft Sudha Rao, Weijia Xu, Michael Xu, Jorge J. G. Leandro, Ken Lobb, Gabriel DesGarennes, Chris Brockett, Bill Dolan 2024 Meeting of the Association for Computational Linguistics | August 2024
Publication Efficient Policy-Rich Rate Enforcement with Phantom Queues Ammar Tahir, Prateesh Goyal, Ilias Marinos, Mike Evans, Radhika Mittal ACM SIGCOMM | August 2024
Publication LordNet: An efficient neural network for learning to solve parametric partial differential equations without simulated data Xinquan Huang, Wenlei Shi, Xiaotian Gao, Xinran wei, Jia Zhang, Jiang Bian, Mao Yang, Tie-Yan Liu Neural Networks | August 2024
Publication DEX: Scalable Range Indexing on Disaggregated Memory Baotong Lu, Kaisong Huang, Chieh-Jan Mike Liang, Tianzheng Wang, Eric Lo VLDB (International Conference on Very Large Data Bases) | August 2024
Publication Let’s Fix this Together: Conversational Debugging with GitHub Copilot Yasharth Bajpai, Bhavya Chopra, Param Biyani, Cagri Aslan, Sumit Gulwani, Dustin Coleman, Chris Parnin, Arjun Radhakrishna, Gustavo Soares IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) | August 2024
Publication DéjàVu: KV-cache Streaming for Fast, Fault-tolerant Generative LLM Serving Foteini Strati, Sara Mcallister, Amar Phanishayee, Jakub Tarnawski, Ana Klimovic ICML 2024 | July 2024 Project
Publication Integrated Hardware Architecture and Device Placement Search Irene Wang, Jakub Tarnawski, Amar Phanishayee, Divya Mahajan 2024 International Conference on Machine Learning | July 2024 Project
Publication MGit: A Model Versioning and Management System Wei Hao, Daniel Mendoza, Rafael da Silva, Deepak Narayanan, Amar Phanishayee, Asaf Cidon, Junfeng Yang 2024 International Conference on Machine Learning | July 2024 Project
Publication Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond Xutong Liu, Siwei Wang, Jinhang Zuo, Han Zhong, Xuchuang Wang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, John C.S. Lui, Wei Chen Proceedings of the 41st International Conference on Machine Learning (ICML) | July 2024