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
Publication Scheduling Opportunistic Links in Two-Tiered Reconfigurable Datacenters Janardhan (Jana) Kulkarni, Stefan Schmid, Paweł Schmidt ACM Symposium on Parallelism in Algorithms and Architectures (SPAA) 2021 | July 2021
Publication Universal Graph Compression: Stochastic Block Models Alankrita Bhatt, Ziao Wang, Chi Wang, Lele Wang International Symposium on Information Theory (ISIT 2021) | July 2021
Publication Faster Kernel Matrix Algebra via Density Estimation Arturs Backurs, Piotr Indyk, Cameron Musco, Tal Wagner July 2021
Publication Lower Bounds for Maximally Recoverable Tensor Code and Higher Order MDS Codes Joshua Brakensiek, Sivakanth Gopi, Visu Makam IEEE Transactions on Information Theory | July 2021
