Mix and Match: Markov Chains and Mixing Times for Matching in Rideshare. - Michael J. Curry; John P. Dickerson; Karthik Abinav Sankararaman; Aravind Srinivasan; Yuhao Wan; Pan Xu 001 (WINE, 2019)

Mix and Match: Markov Chains & Mixing Times for Matching in Rideshare. - Michael J. Curry; John P. Dickerson; Karthik Abinav Sankararaman; Aravind Srinivasan; Yuhao Wan; Pan Xu 001 (CoRR, 2019)

Headless Horseman: Adversarial Attacks on Transfer Learning Models. - Ahmed Abdelkader; Michael J. Curry; Liam Fowl; Tom Goldstein; Avi Schwarzschild; Manli Shu; Christoph Studer; Chen Zhu 001 (ICASSP, 2020)

Detection as Regression: Certified Object Detection with Median Smoothing. - Ping-yeh Chiang; Michael J. Curry; Ahmed Abdelkader; Aounon Kumar; John Dickerson 001; Tom Goldstein (NeurIPS, 2020)

Certifying Strategyproof Auction Networks. - Michael J. Curry; Ping-Yeh Chiang; Tom Goldstein; John Dickerson 001 (NeurIPS, 2020)

Improving Policy-Constrained Kidney Exchange via Pre-Screening. - Duncan C. McElfresh; Michael J. Curry; Tuomas Sandholm; John Dickerson 001 (NeurIPS, 2020)

Vandermonde Wave Function Ansatz for Improved Variational Monte Carlo. - Alberto Acevedo; Michael Curry 002; Shantanu H. Joshi; Brett Leroux; Nicholas Malaya (DLS@SC, 2020)

Detection as Regression: Certified Object Detection by Median Smoothing. - Ping-yeh Chiang; Michael J. Curry; Ahmed Abdelkader; Aounon Kumar; John P. Dickerson; Tom Goldstein (CoRR, 2020)

ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning. - Kevin Kuo; Anthony Ostuni; Elizabeth Horishny; Michael J. Curry; Samuel Dooley; Ping-yeh Chiang; Tom Goldstein; John P. Dickerson (CoRR, 2020)

Scalable Equilibrium Computation in Multi-agent Influence Games on Networks. - Fotini Christia; Michael J. Curry; Constantinos Daskalakis; Erik D. Demaine; John P. Dickerson; MohammadTaghi Hajiaghayi; Adam Hesterberg; Marina Knittel; Aidan Milliff (AAAI, 2021)

PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning. - Neehar Peri; Michael J. Curry; Samuel Dooley; John Dickerson 001 (NeurIPS, 2021)

Learning Revenue-Maximizing Auctions With Differentiable Matching. - Michael J. Curry; Uro Lyi; Tom Goldstein; John P. Dickerson (AISTATS, 2022)

Certified Neural Network Watermarks with Randomized Smoothing. - Arpit Bansal; Ping-Yeh Chiang; Michael J. Curry; Rajiv Jain; Curtis Wigington; Varun Manjunatha; John P. Dickerson; Tom Goldstein (ICML, 2022)

Finding General Equilibria in Many-Agent Economic Simulations Using Deep Reinforcement Learning. - Michael Curry 002; Alexander Trott; Soham Phade; Yu Bai; Stephan Zheng (CoRR, 2022)

Learning and Robustness With Applications To Mechanism Design. - Michael J. Curry (2022)

Learning Solutions in Large Economic Networks using Deep Multi-Agent Reinforcement Learning. - Michael Curry 002; Alexander Trott; Soham Phade; Yu Bai; Stephan Zheng (AAMAS, 2023)

Differentiable Economics for Randomized Affine Maximizer Auctions. - Michael J. Curry; Tuomas Sandholm; John P. Dickerson (IJCAI, 2023)

Neural Auctions Compromise Bidder Information. - Alex Stein; Avi Schwarzschild; Michael J. Curry; Tom Goldstein; John P. Dickerson (CoRR, 2023)

Learning Best Response Policies in Dynamic Auctions via Deep Reinforcement Learning. - Vinzenz Thoma; Michael J. Curry; Niao He; Sven Seuken (CoRR, 2023)

Automated Design of Affine Maximizer Mechanisms in Dynamic Settings. - Michael J. Curry; Vinzenz Thoma; Darshan Chakrabarti; Stephen McAleer; Christian Kroer; Tuomas Sandholm; Niao He; Sven Seuken (AAAI, 2024)

Scalable Mechanism Design for Multi-Agent Path Finding. - Paul Friedrich 001; Yulun Zhang 002; Michael J. Curry; Ludwig Dierks; Stephen McAleer; Jiaoyang Li 001; Tuomas Sandholm; Sven Seuken (IJCAI, 2024)

Optimal Automated Market Makers: Differentiable Economics and Strong Duality. - Michael J. Curry; Zhou Fan; David C. Parkes (CoRR, 2024)

Truthful Aggregation of LLMs with an Application to Online Advertising. - Ermis Soumalias; Michael J. Curry; Sven Seuken (CoRR, 2024)

LLM-Powered Preference Elicitation in Combinatorial Assignment. - Ermis Soumalias; Yanchen Jiang; Kehang Zhu; Michael J. Curry; Sven Seuken; David C. Parkes (CoRR, 2025)

Aligned Textual Scoring Rules. - Yuxuan Lu 001; Yifan Wu; Jason Hartline; Michael J. Curry (CoRR, 2025)