출판 Fighting the Fog of War: Automated Incident Detection for Cloud Systems Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin 林庆维, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang 2021 USENIX Annual Technical Conference (USENIX ATC’21) | August 2021 프로젝트 프로젝트
출판 Maximizing Social Welfare in a Competitive Diffusion Model Prithu Banerjee, Wei Chen, Laks V.S. Lakshmanan VLDB 2021 | August 2021
출판 Branch-and-Bound Solves Random Binary IPs in Polytime Santanu S. Dey, Yatharth Dubey, Marco Molinaro SODA | July 2021
출판 Adversarial Dueling Bandits Aadirupa Saha, Tomer Koren, Yishay Mansour International Conference on Machine Learning | July 2021
출판 Correlation Clustering in Constant Many Parallel Rounds Vincent Cohen-Addad, Silvio Lattanzi, Slobodan Mitrović, Ashkan Norouzi-Fard, Nikos Parotsidis, Jakub Tarnawski 2021 International Conference on Machine Learning | July 2021
출판 ChaCha for Online AutoML Qingyun Wu, Chi Wang, John Langford, Paul Mineiro, Marco Rossi 2021 International Conference on Machine Learning (ICML 2021) | July 2021 동영상 Github 프로젝트
출판 The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks Bohan Wang, Qi Meng, Wei Chen, Tie-Yan Liu 2021 International Conference on Machine Learning | July 2021
출판 Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning Xutong Liu, Jinhang Zuo, Xiaowei Chen, Wei Chen, John C. S. Lui 2021 International Conference on Machine Learning (ICML) | July 2021
출판 Optimal Regret Algorithm for Pseudo-1d Bandit Convex Optimization Aadirupa Saha, Nagarajan Natarajan, Praneeth Netrapalli, Prateek Jain 2021 International Conference on Machine Learning | July 2021 프로젝트 프로젝트
출판 Instance-Dependent Complexity of Contextual Bandits and Reinforcement Learning: A Disagreement-Based Perspective Dylan Foster, Alexander Rakhlin, David Simchi-Levi, Yunzong Xu 2021 Conference on Learning Theory | July 2021