John Dickerson

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 20

Top Topics

Vector Quantization

Codebook Generation

Future Directions

Recommender Systems

Top Venues

Publications

John Dickerson, Seyed A. Esmaeili, Jamie Morgenstern, Claire Jie Zhang
Fair Clustering: Critique, Caveats, and Future Directions. CoRR (2024)
Juan Luque, Sharmila Duppala, John Dickerson, Aravind Srinivasan
Barter Exchange with Shared Item Valuations. CoRR (2024)
Sharmila Duppala, Juan Luque, John Dickerson, Seyed A. Esmaeili
Robust Fair Clustering with Group Membership Uncertainty Sets. CoRR (2024)
Teresa Datta, Daniel Nissani, Max Cembalest, Akash Khanna, Haley Massa, John Dickerson
Tensions Between the Proxies of Human Values in AI. SaTML (2023)
Samuel Dooley, George Z. Wei, Tom Goldstein, John Dickerson
Robustness Disparities in Face Detection. NeurIPS (2022)
Saptarashmi Bandyopadhyay, Chenqi Zhu, Philip Daniel, Joshua Morrison, Ethan Shay, John Dickerson
Targets in Reinforcement Learning to solve Stackelberg Security Games. CoRR (2022)
Duncan C. McElfresh, Sujay Khandagale, Jonathan Valverde, John Dickerson, Colin White
On the Generalizability and Predictability of Recommender Systems. NeurIPS (2022)
Jingling Li, Mozhi Zhang, Keyulu Xu, John Dickerson, Jimmy Ba
How does a Neural Network's Architecture Impact its Robustness to Noisy Labels? NeurIPS (2021)
Michael J. Curry, Uro Lyi, Tom Goldstein, John Dickerson
Learning Revenue-Maximizing Auctions With Differentiable Matching. CoRR (2021)
Mucong Ding, Kezhi Kong, Jingling Li, Chen Zhu, John Dickerson, Furong Huang, Tom Goldstein
VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization. NeurIPS (2021)
Christine Herlihy, Aviva Prins, Aravind Srinivasan, John Dickerson
Planning to Fairly Allocate: Probabilistic Fairness in the Restless Bandit Setting. CoRR (2021)
Naveen Raman, Sanket Shah, John Dickerson
Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling. CoRR (2021)
Neehar Peri, Michael J. Curry, Samuel Dooley, John Dickerson
PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning. NeurIPS (2021)
Seyed A. Esmaeili, Brian Brubach, Aravind Srinivasan, John Dickerson
Fair Clustering Under a Bounded Cost. NeurIPS (2021)
Faez Ahmed, John Dickerson, Mark D. Fuge
Forming Diverse Teams from Sequentially Arriving People. CoRR (2020)
Duncan C. McElfresh, Michael J. Curry, Tuomas Sandholm, John Dickerson
Improving Policy-Constrained Kidney Exchange via Pre-Screening. NeurIPS (2020)
Hoda Bidkhori, John Dickerson, Duncan C. McElfresh, Ke Ren
Kidney Exchange with Inhomogeneous Edge Existence Uncertainty. UAI (2020)
Michael J. Curry, Ping-Yeh Chiang, Tom Goldstein, John Dickerson
Certifying Strategyproof Auction Networks. NeurIPS (2020)
Seyed A. Esmaeili, Brian Brubach, Leonidas Tsepenekas, John Dickerson
Probabilistic Fair Clustering. NeurIPS (2020)
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)