Select recently accepted papers

• Bistritz, Ilai, Tavor Z. Baharav, Amir Leshem, and Nicholas Bamobs. “My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits.” ICML (2020). arXiv 2002.09808
• Kamath, Govinda, Tavor Z. Baharav, and Ilan Shomorony. “Adaptive Learning of Rank-One Models for Efficient Pairwise Sequence Alignment.” NeurIPS (2020). arXiv 2011.04832
• Asi, Hilal, Karan Chadha, Gary Cheng, and John C. Duchi. “Minibatch Stochastic Approximate Proximal Point Methods.” Spotlight presentation at NeurIPS (2020). Download
• “Ebb-and-Flow Protocols: A Resolution of the Availability-Finality Dilemma”, Joachim Neu, Ertem Nusret Tas, David Tse, Forthcoming in IEEE Symposium on Security and Privacy, 2021, arXiv 2009.04987, Source code: Ebb-and-Flow, Source code: Gasper attack, ETHresear.ch post: Gasper attack, Decentralized Thoughts blog post, Talk at LA Blockchain Summit, Talk at IBM Research Workshop on the Informational Lens
• “Everything is a Race and Nakamoto Always Wins”, Amir Dembo, Sreeram Kannan, Ertem Nusret Tas, David Tse, Pramod Viswanath, Xuechao Wang, Ofer Zeitouni, ACM CCS, 2020, arXiv 2005.10484
• “PoSAT: Proof-of-Work Dynamic Availability and Unpredictability, without the Work”, Soubhik Deb, Sreeram Kannan, David Tse, Forthcoming in Financial Cryptography, 2021, arXiv 2010.08154