Bryan Wilder

发表

Using Graph Convolutional Networks to Learn Interdiction Games

Milind Tambe, Kai Wang, A. Perrault, 2019 .

Learning to Complement Humans

Eric Horvitz, Ece Kamar, Bryan Wilder, 2020, IJCAI.

Network discovery using Reinforcement Learning

Balaraman Ravindran, Milind Tambe, B. Wilder, 2019 .

Fuzzy c-Means Clustering for Persistence Diagrams

Long Tran-Thanh, Jack Aspinall, Bryan Wilder, 2020, ArXiv.

Test sensitivity is secondary to frequency and turnaround time for COVID-19 screening

D. Larremore, M. Mina, B. Wilder, 2020, Science Advances.

Test sensitivity is secondary to frequency and turnaround time for COVID-19 surveillance

J. A. Hay, B. Wilder, Milind Tambe, 2020, medRxiv.

SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver pdf

Priya L. Donti, J. Zico Kolter, Bryan Wilder, 2019, ICML.

Modeling between-population variation in COVID-19 dynamics in Hubei, Lombardy, and New York City

Shahin Jabbari, Bryan Wilder, Han-Ching Ou, 2020, Proceedings of the National Academy of Sciences.

End-to-End Constrained Optimization Learning: A Survey pdf

Ferdinando Fioretto, Pascal Van Hentenryck, Bryan Wilder, 2021, IJCAI.

Development of risk prediction models for preterm delivery in a rural setting in Ethiopia

S. Haneuse, B. Wilder, Betregiorgis Hailu Zegeye, 2022, medRxiv.

A Game Theoretic Approach on Addressing Cooperation among Human Adversaries

Nicole D. Sintov, Milind Tambe, Arunesh Sinha, 2016 .

A Game Theoretic Approach on Addressing Collusion among Human Adversaries

Nicole D. Sintov, Milind Tambe, Arunesh Sinha, 2016 .

Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization

Milind Tambe, Bistra N. Dilkina, Bryan Wilder, 2018, AAAI.

Equilibrium computation for zero sum games with submodular structure pdf

Bryan Wilder, Bryan Wilder, 2017, ArXiv.

Equilibrium Computation and Robust Optimization in Zero Sum Games With Submodular Structure

Bryan Wilder, Bryan Wilder, 2017, AAAI.

Ideal Abstractions for Decision-Focused Learning

E. Horvitz, Stefano Massaroli, Michael Poli, 2023, AISTATS.

Maximizing Influence in an Unknown Social Network

Nicole Immorlica, Eric Rice, Milind Tambe, 2018, AAAI.

Inference under constrained distribution shifts

B. Wilder, Santiago Cortes-Gomez, M. Dulce, 2023, ArXiv.

Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation

Aditya Mate, M. Tambe, A. Taneja, 2023, ICML.

Divide to Defend: Collusive Security Games

Milind Tambe, Shahrzad Gholami, Bryan Wilder, 2016, GameSec.

Toward Addressing Collusion Among Human Adversaries in Security Games

Milind Tambe, Shahrzad Gholami, Bryan Wilder, 2016, ECAI.

End to end learning and optimization on graphs

Milind Tambe, Bistra Dilkina, Bryan Wilder, 2019, NeurIPS.

Exploring Algorithmic Fairness in Robust Graph Covering Problems

Eric Rice, Milind Tambe, Amulya Yadav, 2020, NeurIPS.

Group-Fairness in Influence Maximization pdf

Eric Rice, Milind Tambe, Yair Zick, 2019, IJCAI.

Controlling Elections through Social Influence pdf

Yevgeniy Vorobeychik, Bryan Wilder, Yevgeniy Vorobeychik, 2017, AAMAS.

Inferring individual-level processes from population-level patterns in cultural evolution

Laura Fortunato, Bryan Wilder, Anne Kandler, 2017, bioRxiv.

MIPaaL: Mixed Integer Program as a Layer

Milind Tambe, Bryan Wilder, Aaron Ferber, 2019, AAAI.

Learning (Local) Surrogate Loss Functions for Predict-Then-Optimize Problems

A. Perrault, B. Wilder, M. Tambe, 2022, ArXiv.

Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses

A. Perrault, Kai Wang, B. Wilder, 2022, 2203.16067.

Decision-Focused Learning without Decision-Making: Learning Locally Optimized Decision Losses

A. Perrault, Kai Wang, B. Wilder, 2022, NeurIPS.

Optimizing Network Structure for Preventative Health

Milind Tambe, Bryan Wilder, Han-Ching Ou, 2018, AAMAS.

Algorithmic Social Intervention

B. Wilder, Bryan Wilder, 2018, IJCAI.

Influence Maximization with an Unknown Network by Exploiting Community Structure

Nicole Immorlica, Eric Rice, Milind Tambe, 2017, SocInf@IJCAI.

Clinical trial of an AI-augmented intervention for HIV prevention in youth experiencing homelessness pdf

Eric Rice, Milind Tambe, Amulya Yadav, 2020, AAAI.

Uncharted but not Uninfluenced: Influence Maximization with an Uncertain Network

Nicole Immorlica, Eric Rice, Milind Tambe, 2017, AAMAS.

The Role of Age Distribution and Family Structure on COVID-19 Dynamics: A Preliminary Modeling Assessment for Hubei and Lombardy

S. Jabbari, A. Perrault, Aditya Mate, 2020 .

Tracking disease outbreaks from sparse data with Bayesian inference pdf

Milind Tambe, Bryan Wilder, Michael J. Mina, 2020, AAAI.