John Dickerson

24 papers A* 10A 1Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Advancing African American and hispanic health literacy with a bilingual, personalized, prevention smartphone application. Health Informatics J. Neil Sehgal, Devlon Nicole Jackson, Christine Herlihy, John Dickerson, Cynthia Baur
2025	—	`conf`	SoK: Fair Clustering: Critique, Caveats, and Future Directions. SaTML John Dickerson, Seyed A. Esmaeili, Jamie Morgenstern, Claire Jie Zhang
2024	J	`jnl`	A Simple Baseline for Predicting Events with Auto-Regressive Tabular Transformers. CoRR Alex Stein, Samuel Sharpe, Doron Bergman, Senthil Kumar, C. Bayan Bruss, John Dickerson, Tom Goldstein, Micah Goldblum
2024	J	`jnl`	Barter Exchange with Shared Item Valuations. CoRR Juan Luque, Sharmila Duppala, John Dickerson, Aravind Srinivasan
2024	J	`jnl`	Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review. ACM Comput. Surv. Sahil Verma, Varich Boonsanong, Minh Hoang, Keegan Hines, John Dickerson, Chirag Shah
2024	J	`jnl`	Fair Clustering: Critique, Caveats, and Future Directions. CoRR John Dickerson, Seyed A. Esmaeili, Jamie Morgenstern, Claire Jie Zhang
2024	J	`jnl`	Robust Fair Clustering with Group Membership Uncertainty Sets. CoRR Sharmila Duppala, Juan Luque, John Dickerson, Seyed A. Esmaeili
2023	—	`conf`	Tensions Between the Proxies of Human Values in AI. SaTML Teresa Datta, Daniel Nissani, Max Cembalest, Akash Khanna, Haley Massa, John Dickerson
2022	A*	`conf`	On the Generalizability and Predictability of Recommender Systems. NeurIPS Duncan C. McElfresh, Sujay Khandagale, Jonathan Valverde, John Dickerson, Colin White
2022	A*	`conf`	Robustness Disparities in Face Detection. NeurIPS Samuel Dooley, George Z. Wei, Tom Goldstein, John Dickerson
2022	J	`jnl`	Targets in Reinforcement Learning to solve Stackelberg Security Games. CoRR Saptarashmi Bandyopadhyay, Chenqi Zhu, Philip Daniel, Joshua Morrison, Ethan Shay, John Dickerson
2021	J	`jnl`	Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling. CoRR Naveen Raman, Sanket Shah, John Dickerson
2021	A*	`conf`	Fair Clustering Under a Bounded Cost. NeurIPS Seyed A. Esmaeili, Brian Brubach, Aravind Srinivasan, John Dickerson
2021	A*	`conf`	How does a Neural Network's Architecture Impact its Robustness to Noisy Labels? NeurIPS Jingling Li, Mozhi Zhang, Keyulu Xu, John Dickerson, Jimmy Ba
2021	J	`jnl`	Learning Revenue-Maximizing Auctions With Differentiable Matching. CoRR Michael J. Curry, Uro Lyi, Tom Goldstein, John Dickerson
2021	J	`jnl`	Planning to Fairly Allocate: Probabilistic Fairness in the Restless Bandit Setting. CoRR Christine Herlihy, Aviva Prins, Aravind Srinivasan, 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	A*	`conf`	VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization. NeurIPS Mucong Ding, Kezhi Kong, Jingling Li, Chen Zhu, John Dickerson, Furong Huang, Tom Goldstein
2020	A*	`conf`	Certifying Strategyproof Auction Networks. NeurIPS Michael J. Curry, Ping-Yeh Chiang, Tom Goldstein, John Dickerson
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	J	`jnl`	Forming Diverse Teams from Sequentially Arriving People. CoRR Faez Ahmed, John Dickerson, Mark D. Fuge
2020	A*	`conf`	Improving Policy-Constrained Kidney Exchange via Pre-Screening. NeurIPS Duncan C. McElfresh, Michael J. Curry, Tuomas Sandholm, John Dickerson
2020	A	`conf`	Kidney Exchange with Inhomogeneous Edge Existence Uncertainty. UAI Hoda Bidkhori, John Dickerson, Duncan C. McElfresh, Ke Ren
2020	A*	`conf`	Probabilistic Fair Clustering. NeurIPS Seyed A. Esmaeili, Brian Brubach, Leonidas Tsepenekas, John Dickerson