Bryan Wilder
38 papers · 2018–2026 · 10 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 12 separate collaboration groups - the largest holds only 39% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.
Which Bryan Wilder?
2 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Milind Tambe, Eric Rice, Bistra Dilkina
15 papers
· 2018–2025
· AAAI, NeurIPS, IJCAI
Hide ▲
Reinforcement learning with combinatorial actions for coupled restless bandits
ICLR 2025
Leaving the Nest: Going beyond Local Loss Functions for Predict-Then-Optimize
AAAI 2024
Complex Contagion Influence Maximization: A Reinforcement Learning Approach
IJCAI 2023
Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation
ICML 2023
Decision-Focused Learning without Decision-Making: Learning Locally Optimized Decision Losses
NeurIPS 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
Automatically Learning Compact Quality-aware Surrogates for Optimization Problems
NeurIPS 2020
End-to-End Game-Focused Learning of Adversary Behavior in Security Games
AAAI 2020
MIPaaL: Mixed Integer Program as a Layer
AAAI 2020
End to end learning and optimization on graphs
NeurIPS 2019
Exploring Algorithmic Fairness in Robust Graph Covering Problems
NeurIPS 2019
Group-Fairness in Influence Maximization
IJCAI 2019
Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization
AAAI 2019
Bridging the Gap Between Theory and Practice in Influence Maximization: Raising Awareness about HIV among Homeless Youth
IJCAI 2018
10 papers whose co-authors appear nowhere else under this name
IV Co-Scientist: Multi-Agent LLM Framework for Causal Instrumental Variable Discovery
CLeaR 2026
Comparing Targeting Strategies for Maximizing Social Welfare with Limited Resources
ICLR 2025
Orthogonal Causal Calibration (Extended Abstract)
COLT 2025
AI for Equitable, Data-Driven Decisions in Public Health
AAAI 2023
End-to-End Constrained Optimization Learning: A Survey
IJCAI 2021
AI at the Margins: Data, Decisions, and Inclusive Social Impact
IJCAI 2019
Defending Elections against Malicious Spread of Misinformation
AAAI 2019
Distributionally Robust Submodular Maximization
AISTATS 2019
SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver
ICML 2019
Algorithmic Social Intervention
IJCAI 2018