Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Michael J. Curry

Michael J. Curry

Learning Revenue-Maximizing Auctions With Differentiable Matching


Jun 15, 2021
Michael J. Curry, Uro Lyi, Tom Goldstein, John Dickerson

Figure 1 for Learning Revenue-Maximizing Auctions With Differentiable Matching
Figure 2 for Learning Revenue-Maximizing Auctions With Differentiable Matching
Figure 3 for Learning Revenue-Maximizing Auctions With Differentiable Matching
Figure 4 for Learning Revenue-Maximizing Auctions With Differentiable Matching

  Access Paper or Ask Questions

PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning


Jun 06, 2021
Neehar Peri, Michael J. Curry, Samuel Dooley, John P. Dickerson

Figure 1 for PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning
Figure 2 for PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning
Figure 3 for PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning
Figure 4 for PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning
* First two authors contributed equally 
  Access Paper or Ask Questions

ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning


Oct 13, 2020
Kevin Kuo, Anthony Ostuni, Elizabeth Horishny, Michael J. Curry, Samuel Dooley, Ping-yeh Chiang, Tom Goldstein, John P. Dickerson

Figure 1 for ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning
Figure 2 for ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning
Figure 3 for ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning
Figure 4 for ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning

  Access Paper or Ask Questions

Detection as Regression: Certified Object Detection by Median Smoothing


Jul 07, 2020
Ping-yeh Chiang, Michael J. Curry, Ahmed Abdelkader, Aounon Kumar, John Dickerson, Tom Goldstein

Figure 1 for Detection as Regression: Certified Object Detection by Median Smoothing
Figure 2 for Detection as Regression: Certified Object Detection by Median Smoothing
Figure 3 for Detection as Regression: Certified Object Detection by Median Smoothing
Figure 4 for Detection as Regression: Certified Object Detection by Median Smoothing

  Access Paper or Ask Questions

Certifying Strategyproof Auction Networks


Jun 15, 2020
Michael J. Curry, Ping-Yeh Chiang, Tom Goldstein, John Dickerson

Figure 1 for Certifying Strategyproof Auction Networks
Figure 2 for Certifying Strategyproof Auction Networks
Figure 3 for Certifying Strategyproof Auction Networks
Figure 4 for Certifying Strategyproof Auction Networks

  Access Paper or Ask Questions

Headless Horseman: Adversarial Attacks on Transfer Learning Models


Apr 20, 2020
Ahmed Abdelkader, Michael J. Curry, Liam Fowl, Tom Goldstein, Avi Schwarzschild, Manli Shu, Christoph Studer, Chen Zhu

Figure 1 for Headless Horseman: Adversarial Attacks on Transfer Learning Models
Figure 2 for Headless Horseman: Adversarial Attacks on Transfer Learning Models
Figure 3 for Headless Horseman: Adversarial Attacks on Transfer Learning Models
Figure 4 for Headless Horseman: Adversarial Attacks on Transfer Learning Models
* 5 pages, 2 figures. Accepted in ICASSP 2020. Code available on https://github.com/zhuchen03/headless-attack.git 
  Access Paper or Ask Questions

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


Nov 30, 2019
Michael J. Curry, John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Yuhao Wan, Pan Xu

Figure 1 for Mix and Match: Markov Chains & Mixing Times for Matching in Rideshare
Figure 2 for Mix and Match: Markov Chains & Mixing Times for Matching in Rideshare
Figure 3 for Mix and Match: Markov Chains & Mixing Times for Matching in Rideshare
Figure 4 for Mix and Match: Markov Chains & Mixing Times for Matching in Rideshare

  Access Paper or Ask Questions