← Authors

John Dickerson

28 papers · 2019–2023 · 5 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (10) 🌈 Renaissance Researcher (8) 🌍 Conference Polyglot (5) 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (45) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ”¬ Deep Specialist (11) πŸ† Keyword Champion (4) πŸ—ƒοΈ Keyword Collector (129) ⚑ Prolific Year (7) πŸš€ Conference Pioneer πŸ’Ž Century Club (28) πŸ”₯ Unstoppable (5) ❓ The Questioner

Conferences

NIPS (17) IJCAI (5) AAAI (3) ICML (2) UAI (1)

Top co-authors

Aravind Srinivasan (6) Tom Goldstein (6) Michael Curry (5) Samuel Dooley (4) Duncan McElfresh (4) Seyed Esmaeili (3) Leonidas Tsepenekas (3) Brian Brubach (3) Ali Shafahi (2) Mahyar Najibi (2)

Keywords

approximation algorithm (5) fair clustering (4) kidney exchange (4) combinatorial optimization (3) group fairness (3) stochastic optimization (2) neural network (2) adversarial attack (2) algorithmic fairness (2) revenue maximization (2) matching algorithm (2) fairness constraint (2) auction design (2) differentiable economics (2) deep learning (2) object detection (2) adversarial training (2) hyperparameter optimization (1) k-means clustering (1) reinforcement learning (1)

Papers

Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition NIPS 2023
Group Fairness in Set Packing Problems IJCAI 2023
Differentiable Economics for Randomized Affine Maximizer Auctions IJCAI 2023
Reward Scale Robustness for Proximal Policy Optimization via DreamerV3 Tricks NIPS 2023
Diffused Redundancy in Pre-trained Representations NIPS 2023
Doubly Constrained Fair Clustering NIPS 2023
Fair, Polylog-Approximate Low-Cost Hierarchical Clustering NIPS 2023
The Dichotomous Affiliate Stable Matching Problem: Approval-Based Matching with Applicant-Employer Relations IJCAI 2022
Forecasting Patient Outcomes in Kidney Exchange IJCAI 2022
On the Generalizability and Predictability of Recommender Systems NIPS 2022
Robustness Disparities in Face Detection NIPS 2022
Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling IJCAI 2021
VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization NIPS 2021
How does a Neural Network's Architecture Impact its Robustness to Noisy Labels? NIPS 2021
PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning NIPS 2021
Fair Clustering Under a Bounded Cost NIPS 2021
Kidney Exchange with Inhomogeneous Edge Existence Uncertainty UAI 2020
Detection as Regression: Certified Object Detection with Median Smoothing NIPS 2020
Improving Policy-Constrained Kidney Exchange via Pre-Screening NIPS 2020
Certifying Strategyproof Auction Networks NIPS 2020
Probabilistic Fair Clustering NIPS 2020
Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours AAAI 2020
Universal Adversarial Training AAAI 2020
A Pairwise Fair and Community-preserving Approach to k-Center Clustering ICML 2020
Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics ICML 2020
A Unified Approach to Online Matching with Conflict-Aware Constraints AAAI 2019
Making the Cut: A Bandit-based Approach to Tiered Interviewing NIPS 2019
Adversarial training for free! NIPS 2019