John Dickerson
28 papers · 2019–2023 · 5 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (44) π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π¬ Deep Specialist (11)
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Keyword Champion
(4)
ποΈ
Keyword Collector
(128)
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Renaissance Researcher
(6)
π₯
Unstoppable Β· Bronze
β
The Questioner
β‘
Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(22)
Application Areas
(15)
Artificial Intelligence
(11)
Core AI
(9)
Deep Learning
(8)
Optimization & Theory
(8)
Mathematics & Optimization
(7)
Core Methods
(7)
Optimization
(7)
Learning Types Β· Machine Learning
(5)
Computer Vision
(4)
Data Science & Analytics
(4)
Analysis
(4)
Applications
(4)
Learning Types Β· Deep Learning
(4)
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
Differentiable Economics for Randomized Affine Maximizer Auctions
IJCAI 2023
Diffused Redundancy in Pre-trained Representations
NeurIPS 2023
Doubly Constrained Fair Clustering
NeurIPS 2023
Fair, Polylog-Approximate Low-Cost Hierarchical Clustering
NeurIPS 2023
Group Fairness in Set Packing Problems
IJCAI 2023
Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition
NeurIPS 2023
Reward Scale Robustness for Proximal Policy Optimization via DreamerV3 Tricks
NeurIPS 2023
Forecasting Patient Outcomes in Kidney Exchange
IJCAI 2022
On the Generalizability and Predictability of Recommender Systems
NeurIPS 2022
Robustness Disparities in Face Detection
NeurIPS 2022
The Dichotomous Affiliate Stable Matching Problem: Approval-Based Matching with Applicant-Employer Relations
IJCAI 2022
Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling
IJCAI 2021
Fair Clustering Under a Bounded Cost
NeurIPS 2021
How does a Neural Network's Architecture Impact its Robustness to Noisy Labels?
NeurIPS 2021
PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning
NeurIPS 2021
VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization
NeurIPS 2021
A Pairwise Fair and Community-preserving Approach to k-Center Clustering
ICML 2020
Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours
AAAI 2020
Certifying Strategyproof Auction Networks
NeurIPS 2020
Detection as Regression: Certified Object Detection with Median Smoothing
NeurIPS 2020
Improving Policy-Constrained Kidney Exchange via Pre-Screening
NeurIPS 2020
Kidney Exchange with Inhomogeneous Edge Existence Uncertainty
UAI 2020
Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics
ICML 2020
Probabilistic Fair Clustering
NeurIPS 2020
Universal Adversarial Training
AAAI 2020
Adversarial training for free!
NeurIPS 2019
A Unified Approach to Online Matching with Conflict-Aware Constraints
AAAI 2019
Making the Cut: A Bandit-based Approach to Tiered Interviewing
NeurIPS 2019