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  • 2021/06/19 The importance of Computer Science and AI to the future (John Hopcroft)
  • 2021/06/19 Perfect Sampling for (Atomic) Lovász Local Lemma (Kewen Wu)
  • 2021/06/19 Learning Utilities and Equilibria in Non-Truthful Auctions (Hu Fu)
  • 2021/06/19 Time-Space Tradeoffs for Function Inversion (Siyao Guo)
  • 2021/06/19 On Existence of Truthful Fair Cake Cutting Mechanisms (Biaoshuai Tao)
  • 2021/06/18 Multiplicative Weights Update: Aspects of Optimism, Chaos and Acceleration (Xiao Wang)
  • 2021/06/18 Linear Bandits with Limited Adaptivity and Learning Distributional Optimal Design (Yuan Zhou)
  • 2021/06/18 Coresets for learning tasks with time series data (Lingxiao Huang)
  • 2021/06/18 Streaming Algorithms for Geometric Steiner Forest (Shaofeng Jiang)
  • 2021/06/18 Optimization from Structured Samples —— An Effective Approach for Data-driven Optimization (Wei Chen)
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