John Dickerson

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

Achievements

+10 more ↓

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (10)

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🔬 Deep Specialist (11) 🏆 Keyword Champion (4) 🗃️ Keyword Collector (129) ⚡ Prolific Year (7) 🚀 Conference Pioneer 💎 Century Club (28) 🔥 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