Michael J. Curry

32 papers A* 10A 1Misc 1Journal 18Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Barter Exchange with Asymmetric Item Valuations. WWW Juan Luque, Sharmila Duppala, Michael J. Curry, John P. Dickerson, Aravind Srinivasan
2025	J	`jnl`	Aligned Textual Scoring Rules. CoRR Yuxuan Lu, Yifan Wu, Jason Hartline, Michael J. Curry
2025	J	`jnl`	LLM-Powered Preference Elicitation in Combinatorial Assignment. CoRR Ermis Soumalias, Yanchen Jiang, Kehang Zhu, Michael J. Curry, Sven Seuken, David C. Parkes
2024	A*	`conf`	Automated Design of Affine Maximizer Mechanisms in Dynamic Settings. AAAI Michael J. Curry, Vinzenz Thoma, Darshan Chakrabarti, Stephen McAleer, Christian Kroer, Tuomas Sandholm, Niao He, Sven Seuken
2024	J	`jnl`	Automated Design of Affine Maximizer Mechanisms in Dynamic Settings. CoRR Michael J. Curry, Vinzenz Thoma, Darshan Chakrabarti, Stephen McAleer, Christian Kroer, Tuomas Sandholm, Niao He, Sven Seuken
2024	J	`jnl`	Optimal Automated Market Makers: Differentiable Economics and Strong Duality. CoRR Michael J. Curry, Zhou Fan, David C. Parkes
2024	A*	`conf`	Scalable Mechanism Design for Multi-Agent Path Finding. IJCAI Paul Friedrich, Yulun Zhang, Michael J. Curry, Ludwig Dierks, Stephen McAleer, Jiaoyang Li, Tuomas Sandholm, Sven Seuken
2024	J	`jnl`	Scalable Mechanism Design for Multi-Agent Path Finding. CoRR Paul Friedrich, Yulun Zhang, Michael J. Curry, Ludwig Dierks, Stephen McAleer, Jiaoyang Li, Tuomas Sandholm, Sven Seuken
2024	J	`jnl`	Truthful Aggregation of LLMs with an Application to Online Advertising. CoRR Ermis Soumalias, Michael J. Curry, Sven Seuken
2023	A*	`conf`	Differentiable Economics for Randomized Affine Maximizer Auctions. IJCAI Michael J. Curry, Tuomas Sandholm, John P. Dickerson
2023	J	`jnl`	Learning Best Response Policies in Dynamic Auctions via Deep Reinforcement Learning. CoRR Vinzenz Thoma, Michael J. Curry, Niao He, Sven Seuken
2023	J	`jnl`	Neural Auctions Compromise Bidder Information. CoRR Alex Stein, Avi Schwarzschild, Michael J. Curry, Tom Goldstein, John P. Dickerson
2022	A*	`conf`	Certified Neural Network Watermarks with Randomized Smoothing. ICML Arpit Bansal, Ping-Yeh Chiang, Michael J. Curry, Rajiv Jain, Curtis Wigington, Varun Manjunatha, John P. Dickerson, Tom Goldstein
2022	J	`jnl`	Certified Neural Network Watermarks with Randomized Smoothing. CoRR Arpit Bansal, Ping-Yeh Chiang, Michael J. Curry, Rajiv Jain, Curtis Wigington, Varun Manjunatha, John P. Dickerson, Tom Goldstein
2022	J	`jnl`	Differentiable Economics for Randomized Affine Maximizer Auctions. CoRR Michael J. Curry, Tuomas Sandholm, John P. Dickerson
2022	A	`conf`	Learning Revenue-Maximizing Auctions With Differentiable Matching. AISTATS Michael J. Curry, Uro Lyi, Tom Goldstein, John P. Dickerson
2022	—	`—`	Learning and Robustness With Applications To Mechanism Design. Michael J. Curry
2021	J	`jnl`	Learning Revenue-Maximizing Auctions With Differentiable Matching. CoRR Michael J. Curry, Uro Lyi, Tom Goldstein, John Dickerson
2021	A*	`conf`	PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning. NeurIPS Neehar Peri, Michael J. Curry, Samuel Dooley, John Dickerson
2021	J	`jnl`	PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning. CoRR Neehar Peri, Michael J. Curry, Samuel Dooley, John P. Dickerson
2021	A*	`conf`	Scalable Equilibrium Computation in Multi-agent Influence Games on Networks. AAAI Fotini Christia, Michael J. Curry, Constantinos Daskalakis, Erik D. Demaine, John P. Dickerson, MohammadTaghi Hajiaghayi, Adam Hesterberg, Marina Knittel, Aidan Milliff
2020	A*	`conf`	Certifying Strategyproof Auction Networks. NeurIPS Michael J. Curry, Ping-Yeh Chiang, Tom Goldstein, John Dickerson
2020	J	`jnl`	Certifying Strategyproof Auction Networks. CoRR Michael J. Curry, Ping-Yeh Chiang, Tom Goldstein, John P. Dickerson
2020	J	`jnl`	Detection as Regression: Certified Object Detection by Median Smoothing. CoRR Ping-Yeh Chiang, Michael J. Curry, Ahmed Abdelkader, Aounon Kumar, John P. Dickerson, Tom Goldstein
2020	A*	`conf`	Detection as Regression: Certified Object Detection with Median Smoothing. NeurIPS Ping-Yeh Chiang, Michael J. Curry, Ahmed Abdelkader, Aounon Kumar, John Dickerson, Tom Goldstein
2020	Misc	`conf`	Headless Horseman: Adversarial Attacks on Transfer Learning Models. ICASSP Ahmed Abdelkader, Michael J. Curry, Liam Fowl, Tom Goldstein, Avi Schwarzschild, Manli Shu, Christoph Studer, Chen Zhu
2020	J	`jnl`	Headless Horseman: Adversarial Attacks on Transfer Learning Models. CoRR Ahmed Abdelkader, Michael J. Curry, Liam Fowl, Tom Goldstein, Avi Schwarzschild, Manli Shu, Christoph Studer, Chen Zhu
2020	A*	`conf`	Improving Policy-Constrained Kidney Exchange via Pre-Screening. NeurIPS Duncan C. McElfresh, Michael J. Curry, Tuomas Sandholm, John Dickerson
2020	J	`jnl`	Improving Policy-Constrained Kidney Exchange via Pre-Screening. CoRR Duncan C. McElfresh, Michael J. Curry, Tuomas Sandholm, John P. Dickerson
2020	J	`jnl`	ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning. CoRR Kevin Kuo, Anthony Ostuni, Elizabeth Horishny, Michael J. Curry, Samuel Dooley, Ping-Yeh Chiang, Tom Goldstein, John P. Dickerson
2019	J	`jnl`	Mix and Match: Markov Chains & Mixing Times for Matching in Rideshare. CoRR Michael J. Curry, John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Yuhao Wan, Pan Xu
2019	—	`conf`	Mix and Match: Markov Chains and Mixing Times for Matching in Rideshare. WINE Michael J. Curry, John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Yuhao Wan, Pan Xu