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

M. Curry, J. Dickerson, K. Sankararaman, A. Srinivasan, Y. Wan, и P. Xu. WINE, том 11920 из Lecture Notes in Computer Science, стр. 129-141. Springer, (2019)

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Manfred Curry

Haskell Curry

George Curry Seward

Michael J Thate

Michael J Grabher

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Neural Auctions Compromise Bidder Information.A. Stein, A. Schwarzschild, M. Curry, T. Goldstein, и J. Dickerson. CoRR, (2023)Optimal Automated Market Makers: Differentiable Economics and Strong Duality.M. Curry, Z. Fan, и D. Parkes. CoRR, (2024)Learning and Robustness With Applications To Mechanism Design.M. Curry. University of Maryland, College Park, MD, USA, (2022)base-search.net (ftunivmaryland:oai:drum.lib.umd.edu:1903/29339).Mix and Match: Markov Chains & Mixing Times for Matching in Rideshare.M. Curry, J. Dickerson, K. Sankararaman, A. Srinivasan, Y. Wan, и P. Xu. CoRR, (2019)Scalable Equilibrium Computation in Multi-agent Influence Games on Networks.F. Christia, M. Curry, C. Daskalakis, E. Demaine, J. Dickerson, M. Hajiaghayi, A. Hesterberg, M. Knittel, и A. Milliff. AAAI, стр. 5277-5285. AAAI Press, (2021)PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning.N. Peri, M. Curry, S. Dooley, и J. Dickerson. NeurIPS, стр. 17532-17542. (2021)Improving Policy-Constrained Kidney Exchange via Pre-Screening.D. McElfresh, M. Curry, T. Sandholm, и J. Dickerson. NeurIPS, (2020)Learning Best Response Policies in Dynamic Auctions via Deep Reinforcement Learning.V. Thoma, M. Curry, N. He, и S. Seuken. CoRR, (2023)ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning.K. Kuo, A. Ostuni, E. Horishny, M. Curry, S. Dooley, P. yeh Chiang, T. Goldstein, и J. Dickerson. CoRR, (2020)Scalable Mechanism Design for Multi-Agent Path Finding.P. Friedrich, Y. Zhang, M. Curry, L. Dierks, S. McAleer, J. Li, T. Sandholm, и S. Seuken. CoRR, (2024)

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