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New Algorithms, Better Bounds, and a Novel Model for Online Stochastic Matching.

, , , and . ESA, volume 57 of LIPIcs, page 24:1-24:16. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2016)

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Sample Efficient Stochastic Variance-Reduced Cubic Regularization Method., , and . CoRR, (2018)Improved Bounds in Stochastic Matching and Optimization., , , , and . Algorithmica, 80 (11): 3225-3252 (2018)Fairness Maximization among Offline Agents in Online-Matching Markets., , and . ACM Trans. Economics and Comput., 10 (4): 16:1-16:27 (December 2022)Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning., and . CoRR, (2024)Two-Sided Capacitated Submodular Maximization in Gig Platforms.. WINE, volume 14413 of Lecture Notes in Computer Science, page 600-617. Springer, (2023)Preference-Aware Task Assignment in On-Demand Taxi Dispatching: An Online Stable Matching Approach., , , , , and . AAAI, page 2245-2252. AAAI Press, (2019)Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs., , , and . AAAI, page 12956-12964. AAAI Press, (2024)Stochastic Gradient Hamiltonian Monte Carlo Methods with Recursive Variance Reduction., , and . NeurIPS, page 3830-3841. (2019)Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization., , , and . NeurIPS, page 3126-3137. (2018)Allocation Problem in Remote Teleoperation: Online Matching with Offline Reusable Resources and Delayed Assignments., , , , , and . AAMAS, page 513-521. ACM, (2023)