Bryan Wilder
37 papers · 2018–2026 · 9 conferences · across top CS/AI conferences
Achievements
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Conferences
AAAI (10)
IJCAI (8)
NIPS (5)
ICML (4)
AISTATS (3)
ICLR (3)
UAI (2)
COLT (1)
EMNLP (1)
Top co-authors
Keywords
decision-focused learning
(5)
social network
(5)
combinatorial optimization
(4)
algorithmic fairness
(3)
end-to-end learning
(3)
influence maximization
(3)
resource allocation
(3)
submodular maximization
(3)
hiv prevention
(2)
causal inference
(2)
social network intervention
(2)
optimization problem
(2)
submodular optimization
(2)
public health
(2)
group fairness
(2)
machine learning
(2)
disease surveillance
(2)
outlier detection
(2)
fairness auditing
(2)
public health surveillance
(2)
Papers
Reducing Alert Fatigue Through AI Ranking: A Deployed Public Health Data Monitoring System
AAAI 2026
Predicting Language Modelsβ Success at Zero-Shot Probabilistic Prediction
EMNLP 2025
Orthogonal Causal Calibration (Extended Abstract)
COLT 2025
Utility-Directed Conformal Prediction: A Decision-Aware Framework for Actionable Uncertainty Quantification
ICLR 2025
Comparing Targeting Strategies for Maximizing Social Welfare with Limited Resources
ICLR 2025
Reinforcement learning with combinatorial actions for coupled restless bandits
ICLR 2025
Data-driven Design of Randomized Control Trials with Guaranteed Treatment Effects
ICML 2025
Dependent Randomized Rounding for Budget Constrained Experimental Design
UAI 2025
Outlier Ranking for Large-Scale Public Health Data
AAAI 2024
Decision-Focused Evaluation of Worst-Case Distribution Shift
UAI 2024
Statistical Inference Under Constrained Selection Bias
ICML 2024
Auditing Fairness under Unobserved Confounding
AISTATS 2024
Leaving the Nest: Going beyond Local Loss Functions for Predict-Then-Optimize
AAAI 2024
Ideal Abstractions for Decision-Focused Learning
AISTATS 2023
AI for Equitable, Data-Driven Decisions in Public Health
AAAI 2023
Auditing Fairness by Betting
NIPS 2023
Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation
ICML 2023
Complex Contagion Influence Maximization: A Reinforcement Learning Approach
IJCAI 2023
Computationally Assisted Quality Control for Public Health Data Streams
IJCAI 2023
Decision-Focused Learning without Decision-Making: Learning Locally Optimized Decision Losses
NIPS 2022
Clinical Trial of an AI-Augmented Intervention for HIV Prevention in Youth Experiencing Homelessness
AAAI 2021
Tracking Disease Outbreaks from Sparse Data with Bayesian Inference
AAAI 2021
End-to-End Constrained Optimization Learning: A Survey
IJCAI 2021
MIPaaL: Mixed Integer Program as a Layer
AAAI 2020
Learning to Complement Humans
IJCAI 2020
Automatically Learning Compact Quality-aware Surrogates for Optimization Problems
NIPS 2020
End-to-End Game-Focused Learning of Adversary Behavior in Security Games
AAAI 2020
End to end learning and optimization on graphs
NIPS 2019
Group-Fairness in Influence Maximization
IJCAI 2019
AI at the Margins: Data, Decisions, and Inclusive Social Impact
IJCAI 2019
Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization
AAAI 2019
Defending Elections against Malicious Spread of Misinformation
AAAI 2019
Exploring Algorithmic Fairness in Robust Graph Covering Problems
NIPS 2019
Distributionally Robust Submodular Maximization
AISTATS 2019
SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver
ICML 2019
Bridging the Gap Between Theory and Practice in Influence Maximization: Raising Awareness about HIV among Homeless Youth
IJCAI 2018
Algorithmic Social Intervention
IJCAI 2018