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Order Selection Prophet Inequality: From Threshold Optimization to Arrival Time Design
Hardness vs Randomness, Revised: Uniform, Non-Black-Box, and Instance-Wise
The importance of Computer Science and AI to the future (John Hopcroft)
Perfect Sampling for (Atomic) Lovász Local Lemma (Kewen Wu)
Learning Utilities and Equilibria in Non-Truthful Auctions (Hu Fu)
Time-Space Tradeoffs for Function Inversion (Siyao Guo)
On Existence of Truthful Fair Cake Cutting Mechanisms (Biaoshuai Tao)
Multiplicative Weights Update: Aspects of Optimism, Chaos and Acceleration (Xiao Wang)
Linear Bandits with Limited Adaptivity and Learning Distributional Optimal Design (Yuan Zhou)
Coresets for learning tasks with time series data (Lingxiao Huang)
Streaming Algorithms for Geometric Steiner Forest (Shaofeng Jiang)
Optimization from Structured Samples —— An Effective Approach for Data-driven Optimization (Wei Chen)
Data-dependent Coreset for Large-scale, Robust, and Dynamic Machine Learning (Hu Ding)
Constant Approximating k-Clique is W[1]-hard (Bingkai Lin)
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