Publication ChaCha for Online AutoML Qingyun Wu, Chi Wang, John Langford, Paul Mineiro, Marco Rossi 2021 International Conference on Machine Learning (ICML 2021) | July 2021 Video Github Project
Publication 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 Project Project
Publication Benign Overfitting of Constant-Stepsize SGD for Linear Regression Difan Zou, Jingfeng Wu, Vladimir Braverman, Quanquan Gu, Sham Kakade 2021 Conference on Learning Theory | July 2021
Publication 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
Publication Confidence-Budget Matching for Sequential Budgeted Learning Yonathan Efroni, Nadav Merlis, Aadirupa Saha, Shie Mannor International Conference on Machine Learning | July 2021
Publication Dueling Convex Optimization Aadirupa Saha, Tomer Koren, Yishay Mansour International Conference on Machine Learning | July 2021
Publication Domain Generalization using Causal Matching Divyat Mahajan, Shruti Tople, Amit Sharma International Conference on Machine Learning (ICML) | July 2021 Github Project Project
Publication Trellis BMA: coded trace reconstruction on IDS channels for DNA storage Sundara Rajan Srinivasavaradhan, Sivakanth Gopi, Henry Pfister, Sergey Yekhanin International Symposium on Information Theory (ISIT) | July 2021 Github Project
Publication Batch optimization for DNA synthesis Konstantin Makarychev, Miklos Racz, Cyrus Rashtchian, Sergey Yekhanin International Symposium on Information Theory (ISIT) | July 2021 Project
Publication Network Inference and Influence Maximization from Samples Wei Chen, Xiaoming Sun, Jialin Zhang, Zhijie Zhang 2021 International Conference on Machine Learning (ICML) | July 2021
