Bryan Wilder

According to our database1, Bryan Wilder authored at least 65 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Auditing Fairness under Unobserved Confounding.
CoRR, 2024

Outlier Ranking in Large-Scale Public Health Streams.
CoRR, 2024

Leaving the Nest: Going beyond Local Loss Functions for Predict-Then-Optimize.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Outlier Ranking for Large-Scale Public Health Data.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Federated Epidemic Surveillance.
CoRR, 2023

Inference under constrained distribution shifts.
CoRR, 2023

Auditing Fairness by Betting.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Computationally Assisted Quality Control for Public Health Data Streams.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Complex Contagion Influence Maximization: A Reinforcement Learning Approach.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation.
Proceedings of the International Conference on Machine Learning, 2023

A Learning Approach to Complex Contagion Influence Maximization.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Ideal Abstractions for Decision-Focused Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

AI for Equitable, Data-Driven Decisions in Public Health.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Learning (Local) Surrogate Loss Functions for Predict-Then-Optimize Problems.
CoRR, 2022

Decision-Focused Learning without Decision-Making: Learning Locally Optimized Decision Losses.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Fuzzy c-means clustering in persistence diagram space for deep learning model selection.
Proceedings of the NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2022

2021
Allocating outreach resources for disease control in a dynamic population with information spread.
IISE Trans., 2021

Harnessing Heterogeneity: Learning from Decomposed Feedback in Bayesian Modeling.
CoRR, 2021

End-to-End Constrained Optimization Learning: A Survey.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Clinical Trial of an AI-Augmented Intervention for HIV Prevention in Youth Experiencing Homelessness.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Tracking Disease Outbreaks from Sparse Data with Bayesian Inference.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Preliminary Results from a Peer-Led, Social Network Intervention, Augmented by Artificial Intelligence to Prevent HIV among Youth Experiencing Homelessness.
CoRR, 2020

Fuzzy c-Means Clustering for Persistence Diagrams.
CoRR, 2020

Automatically Learning Compact Quality-aware Surrogates for Optimization Problems.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning to Complement Humans.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Influence Maximization in Unknown Social Networks: Learning Policies for Effective Graph Sampling.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

End-to-End Game-Focused Learning of Adversary Behavior in Security Games.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

MIPaaL: Mixed Integer Program as a Layer.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Learning policies for Social network discovery with Reinforcement learning.
CoRR, 2019

Decision-Focused Learning of Adversary Behavior in Security Games.
CoRR, 2019

Improving GP-UCB Algorithm by Harnessing Decomposed Feedback.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

End to end learning and optimization on graphs.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Exploring Algorithmic Fairness in Robust Graph Covering Problems.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

AI at the Margins: Data, Decisions, and Inclusive Social Impact.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Group-Fairness in Influence Maximization.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver.
Proceedings of the 36th International Conference on Machine Learning, 2019

Distributionally Robust Submodular Maximization.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Defending Elections against Malicious Spread of Misinformation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Bridging the Gap Between Theory and Practice in Influence Maximization: Raising Awareness about HIV among Homeless Youth.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

End to end influence maximization for HIV prevention.
Proceedings of the First Joint Workshop on AI in Health organized as part of the Federated AI Meeting (FAIM 2018), 2018

Algorithmic Social Intervention.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Designing Fair, Efficient, and Interpretable Policies for Prioritizing Homeless Youth for Housing Resources.
Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2018

Controlling Elections through Social Influence.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Optimizing Network Structure for Preventative Health.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

End-to-End Influence Maximization in the Field.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Activating the: Modeling Influence Spread in Natural-World Social Networks.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Utilizing Housing Resources for Homeless Youth Through the Lens of Multiple Multi-Dimensional Knapsacks.
Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018

Preventing Infectious Disease in Dynamic Populations Under Uncertainty.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Maximizing Influence in an Unknown Social Network.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Risk-Sensitive Submodular Optimization.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Equilibrium Computation and Robust Optimization in Zero Sum Games With Submodular Structure.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Remembering a Conversation - A Conversational Memory Architecture for Embodied Conversational Agents.
J. Intell. Syst., 2017

Equilibrium computation for zero sum games with submodular structure.
CoRR, 2017

Activating the "Breakfast Club": Modeling Influence Spread in Natural-World Social Networks.
CoRR, 2017

AI in Informal Science Education: Bringing Turing Back to Life to Perform the Turing Test.
Int. J. Artif. Intell. Educ., 2017

Influence Maximization with an Unknown Network by Exploiting Community Structure.
Proceedings of the 3rd International Workshop on Social Influence Analysis co-located with 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), 2017

Influence Maximization in the Field: The Arduous Journey from Emerging to Deployed Application.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

Uncharted but not Uninfluenced: Influence Maximization with an Uncertain Network.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

2016
On the Critical Role of Divergent Selection in Evolvability.
Frontiers Robotics AI, 2016

Divide to Defend: Collusive Security Games.
Proceedings of the Decision and Game Theory for Security - 7th International Conference, 2016

Toward Addressing Collusion Among Human Adversaries in Security Games.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

SPECTRE: A Game Theoretic Framework for Preventing Collusion in Security Games (Demonstration).
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2015
Reconciling explanations for the evolution of evolvability.
Adapt. Behav., 2015


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