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Mix and Match: Markov Chains and Mixing Times for Matching in Rideshare.

, , , , , and . WINE, volume 11920 of Lecture Notes in Computer Science, page 129-141. Springer, (2019)

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Mix and Match: Markov Chains & Mixing Times for Matching in Rideshare., , , , , and . CoRR, (2019)Scalable Equilibrium Computation in Multi-agent Influence Games on Networks., , , , , , , , and . AAAI, page 5277-5285. AAAI Press, (2021)Improving Policy-Constrained Kidney Exchange via Pre-Screening., , , and . NeurIPS, (2020)PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning., , , and . NeurIPS, page 17532-17542. (2021)Neural Auctions Compromise Bidder Information., , , , and . CoRR, (2023)Optimal Automated Market Makers: Differentiable Economics and Strong Duality., , and . CoRR, (2024)Learning and Robustness With Applications To Mechanism Design.. University of Maryland, College Park, MD, USA, (2022)base-search.net (ftunivmaryland:oai:drum.lib.umd.edu:1903/29339).Learning Best Response Policies in Dynamic Auctions via Deep Reinforcement Learning., , , and . CoRR, (2023)ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning., , , , , , , and . CoRR, (2020)Scalable Mechanism Design for Multi-Agent Path Finding., , , , , , , and . CoRR, (2024)