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Michael J. Curry
Person information
- affiliation: University of Zürich, Switzerland
- affiliation: Harvard University, Cambridge, MA, USA
- affiliation (PhD): University of Maryland, College Park, MD, USA
Other persons with the same name
- Michael Curry 0001 — Oregon State University, Corvallis, OR, USA (and 1 more)
- Michael Curry 0003 — Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Michael Curry 0004 (aka: Michael D. Curry) — State University of New York at New Paltz, NY, USA
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2020 – today
- 2024
- [c14]Michael J. Curry, Vinzenz Thoma, Darshan Chakrabarti, Stephen McAleer, Christian Kroer, Tuomas Sandholm, Niao He, Sven Seuken:
Automated Design of Affine Maximizer Mechanisms in Dynamic Settings. AAAI 2024: 9626-9635 - [c13]Paul Friedrich, Yulun Zhang, Michael J. Curry, Ludwig Dierks, Stephen McAleer, Jiaoyang Li, Tuomas Sandholm, Sven Seuken:
Scalable Mechanism Design for Multi-Agent Path Finding. IJCAI 2024: 58-66 - [i17]Paul Friedrich
, Yulun Zhang, Michael J. Curry, Ludwig Dierks, Stephen McAleer, Jiaoyang Li, Tuomas Sandholm, Sven Seuken:
Scalable Mechanism Design for Multi-Agent Path Finding. CoRR abs/2401.17044 (2024) - [i16]Michael J. Curry, Vinzenz Thoma, Darshan Chakrabarti, Stephen McAleer, Christian Kroer, Tuomas Sandholm, Niao He, Sven Seuken:
Automated Design of Affine Maximizer Mechanisms in Dynamic Settings. CoRR abs/2402.08129 (2024) - [i15]Michael J. Curry, Zhou Fan, David C. Parkes:
Optimal Automated Market Makers: Differentiable Economics and Strong Duality. CoRR abs/2402.09129 (2024) - [i14]Ermis Soumalias
Truthful Aggregation of LLMs with an Application to Online Advertising. CoRR abs/2405.05905 (2024) - 2023
- [c12]Michael Curry, Alexander Trott, Soham Phade, Yu Bai, Stephan Zheng:
Learning Solutions in Large Economic Networks using Deep Multi-Agent Reinforcement Learning. AAMAS 2023: 2760-2762 - [c11]Michael J. Curry, Tuomas Sandholm, John P. Dickerson:
Differentiable Economics for Randomized Affine Maximizer Auctions. IJCAI 2023: 2633-2641 - [i13]Alex Stein, Avi Schwarzschild, Michael J. Curry
Neural Auctions Compromise Bidder Information. CoRR abs/2303.00116 (2023) - [i12]Vinzenz Thoma, Michael J. Curry, Niao He, Sven Seuken:
Learning Best Response Policies in Dynamic Auctions via Deep Reinforcement Learning. CoRR abs/2312.13232 (2023) - 2022
- [b1]Michael J. Curry:
Learning and Robustness With Applications To Mechanism Design. University of Maryland, College Park, MD, USA, 2022 - [c10]Michael J. Curry, Uro Lyi, Tom Goldstein, John P. Dickerson:
Learning Revenue-Maximizing Auctions With Differentiable Matching. AISTATS 2022: 6062-6073 - [c9]Arpit Bansal, Ping-Yeh Chiang, Michael J. Curry, Rajiv Jain, Curtis Wigington, Varun Manjunatha, John P. Dickerson, Tom Goldstein:
Certified Neural Network Watermarks with Randomized Smoothing. ICML 2022: 1450-1465 - [i11]Michael Curry, Alexander Trott, Soham Phade, Yu Bai, Stephan Zheng:
Finding General Equilibria in Many-Agent Economic Simulations Using Deep Reinforcement Learning. CoRR abs/2201.01163 (2022) - [i10]Michael J. Curry, Tuomas Sandholm, John P. Dickerson:
Differentiable Economics for Randomized Affine Maximizer Auctions. CoRR abs/2202.02872 (2022) - [i9]Arpit Bansal, Ping-yeh Chiang, Michael J. Curry
Certified Neural Network Watermarks with Randomized Smoothing. CoRR abs/2207.07972 (2022) - 2021
- [c8]Fotini Christia, Michael J. Curry, Constantinos Daskalakis, Erik D. Demaine, John P. Dickerson, MohammadTaghi Hajiaghayi, Adam Hesterberg, Marina Knittel, Aidan Milliff
Scalable Equilibrium Computation in Multi-agent Influence Games on Networks. AAAI 2021: 5277-5285 - [c7]Neehar Peri, Michael J. Curry, Samuel Dooley, John Dickerson:
PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning. NeurIPS 2021: 17532-17542 - [i8]Neehar Peri, Michael J. Curry, Samuel Dooley, John P. Dickerson:
PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning. CoRR abs/2106.03215 (2021) - [i7]Michael J. Curry, Uro Lyi, Tom Goldstein, John Dickerson:
Learning Revenue-Maximizing Auctions With Differentiable Matching. CoRR abs/2106.07877 (2021) - 2020
- [c6]Ahmed Abdelkader, Michael J. Curry
Headless Horseman: Adversarial Attacks on Transfer Learning Models. ICASSP 2020: 3087-3091 - [c5]Ping-yeh Chiang, Michael J. Curry, Ahmed Abdelkader, Aounon Kumar, John Dickerson, Tom Goldstein:
Detection as Regression: Certified Object Detection with Median Smoothing. NeurIPS 2020 - [c4]Michael J. Curry, Ping-Yeh Chiang, Tom Goldstein, John Dickerson:
Certifying Strategyproof Auction Networks. NeurIPS 2020 - [c3]Duncan C. McElfresh, Michael J. Curry, Tuomas Sandholm, John Dickerson:
Improving Policy-Constrained Kidney Exchange via Pre-Screening. NeurIPS 2020 - [c2]Alberto Acevedo, Michael Curry
Vandermonde Wave Function Ansatz for Improved Variational Monte Carlo. DLS@SC 2020: 40-47 - [i6]Ahmed Abdelkader, Michael J. Curry, Liam Fowl, Tom Goldstein, Avi Schwarzschild, Manli Shu, Christoph Studer, Chen Zhu:
Headless Horseman: Adversarial Attacks on Transfer Learning Models. CoRR abs/2004.09007 (2020) - [i5]Michael J. Curry, Ping-Yeh Chiang, Tom Goldstein, John P. Dickerson:
Certifying Strategyproof Auction Networks. CoRR abs/2006.08742 (2020) - [i4]Ping-yeh Chiang, Michael J. Curry, Ahmed Abdelkader, Aounon Kumar, John P. Dickerson, Tom Goldstein:
Detection as Regression: Certified Object Detection by Median Smoothing. CoRR abs/2007.03730 (2020) - [i3]Kevin Kuo, Anthony Ostuni, Elizabeth Horishny, Michael J. Curry, Samuel Dooley, Ping-yeh Chiang, Tom Goldstein, John P. Dickerson:
ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning. CoRR abs/2010.06398 (2020) - [i2]Duncan C. McElfresh, Michael J. Curry, Tuomas Sandholm, John P. Dickerson:
Improving Policy-Constrained Kidney Exchange via Pre-Screening. CoRR abs/2010.12069 (2020)
2010 – 2019
- 2019
- [c1]Michael J. Curry
Mix and Match: Markov Chains and Mixing Times for Matching in Rideshare. WINE 2019: 129-141 - [i1]Michael J. Curry, John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Yuhao Wan, Pan Xu:
Mix and Match: Markov Chains & Mixing Times for Matching in Rideshare. CoRR abs/1912.00225 (2019)
Coauthor Index
aka: John P. Dickerson
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last updated on 2024-10-28 21:17 CET by the dblp team
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