Dickerson, John

21 publications

NeurIPS 2023 Diffused Redundancy in Pre-Trained Representations Vedant Nanda, Till Speicher, John Dickerson, Krishna Gummadi, Soheil Feizi, Adrian Weller

NeurIPS 2023 Doubly Constrained Fair Clustering John Dickerson, Seyed Esmaeili, Jamie H Morgenstern, Claire Jie Zhang

NeurIPS 2023 Fair, Polylog-Approximate Low-Cost Hierarchical Clustering Marina Knittel, Max Springer, John Dickerson, MohammadTaghi Hajiaghayi

NeurIPSW 2023 Repairing Regressors for Fair Binary Classification at Any Decision Threshold Kweku Kwegyir-Aggrey, Jessica Dai, A. Feder Cooper, John Dickerson, Keegan Hines, Suresh Venkatasubramanian

NeurIPS 2023 Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition Samuel Dooley, Rhea Sukthanker, John Dickerson, Colin White, Frank Hutter, Micah Goldblum

NeurIPS 2023 Reward Scale Robustness for Proximal Policy Optimization via DreamerV3 Tricks Ryan Sullivan, Akarsh Kumar, Shengyi Huang, John Dickerson, Joseph Suarez

NeurIPS 2022 On the Generalizability and Predictability of Recommender Systems Duncan McElfresh, Sujay Khandagale, Jonathan Valverde, John Dickerson, Colin White

NeurIPS 2022 Robustness Disparities in Face Detection Samuel Dooley, George Z Wei, Tom Goldstein, John Dickerson

NeurIPS 2021 Fair Clustering Under a Bounded Cost Seyed Esmaeili, Brian Brubach, Aravind Srinivasan, John Dickerson

NeurIPS 2021 How Does a Neural Network's Architecture Impact Its Robustness to Noisy Labels? Jingling Li, Mozhi Zhang, Keyulu Xu, John Dickerson, Jimmy Ba

NeurIPS 2021 PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning Neehar Peri, Michael Curry, Samuel Dooley, John Dickerson

NeurIPS 2021 VQ-GNN: A Universal Framework to Scale up Graph Neural Networks Using Vector Quantization Mucong Ding, Kezhi Kong, Jingling Li, Chen Zhu, John Dickerson, Furong Huang, Tom Goldstein

ICML 2020 A Pairwise Fair and Community-Preserving Approach to K-Center Clustering Brian Brubach, Darshan Chakrabarti, John Dickerson, Samir Khuller, Aravind Srinivasan, Leonidas Tsepenekas

NeurIPS 2020 Certifying Strategyproof Auction Networks Michael Curry, Ping-yeh Chiang, Tom Goldstein, John Dickerson

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

NeurIPS 2020 Improving Policy-Constrained Kidney Exchange via Pre-Screening Duncan McElfresh, Michael Curry, Tuomas Sandholm, John Dickerson

UAI 2020 Kidney Exchange with Inhomogeneous Edge Existence Uncertainty Hoda Bidkhori, John Dickerson, Duncan McElfresh, Ke Ren

ICML 2020 Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics Debjani Saha, Candice Schumann, Duncan Mcelfresh, John Dickerson, Michelle Mazurek, Michael Tschantz

NeurIPS 2020 Probabilistic Fair Clustering Seyed Esmaeili, Brian Brubach, Leonidas Tsepenekas, John Dickerson

NeurIPS 2019 Adversarial Training for Free! Ali Shafahi, Mahyar Najibi, Mohammad Amin Ghiasi, Zheng Xu, John Dickerson, Christoph Studer, Larry S. Davis, Gavin Taylor, Tom Goldstein

NeurIPS 2019 Making the Cut: A Bandit-Based Approach to Tiered Interviewing Candice Schumann, Zhi Lang, Jeffrey Foster, John Dickerson