Wilder, Bryan
- SATNet: Bridging deep learning and logical reasoning using a\n differentiable satisfiability solver
2019/05/28 by Po-Wei Wang, Priya L. Donti, Wang, Po-Wei +6 · 1 voice · 12 citations
Engineering · Decision Sciences · #graph theory and CDMA systems #Optimal Experimental Design Methods
- Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization
2018/09/14 by Bryan Wilder, Bistra Dilkina, Wilder, Bryan +3 · 23 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #Mobile Crowdsensing and Crowdsourcing
- End-to-End Constrained Optimization Learning: A Survey
2021/03/30 by Kotary, James, Fioretto, Ferdinando, Van Hentenryck, Pascal +1 · 18 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- MIPaaL: Mixed Integer Program as a Layer
2019/07/12 by Ferber, Aaron, Wilder, Bryan, Dilkina, Bistra +1 · 7 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Group-Fairness in Influence Maximization
2019/03/03 by Tsang, Alan, Wilder, Bryan, Rice, Eric +2 · 6 citations
#Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Social and Information Networks (cs.SI)
- Learning to Complement Humans
2020/05/01 by Wilder, Bryan, Horvitz, Eric, Kamar, Ece · 6 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- End to end learning and optimization on graphs
2019/05/31 by Wilder, Bryan, Ewing, Eric, Dilkina, Bistra +1 · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Social and Information Networks (cs.SI)
- Auditing Fairness by Betting
2023/05/27 by Ben Chugg, Santiago Cortes-Gomez, Chugg, Ben +5 · 4 citations
Social Sciences · Computer Science · Economics, Econometrics and Finance · #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #Sports Analytics and Performance
- Distributionally Robust Submodular Maximization
2018/02/14 by Matthew Staib, Bryan Wilder, Staib, Matthew +3 · 2 citations
Computer Science · Decision Sciences · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Optimization and Control (math.OC) #Risk and Portfolio Optimization #Stochastic Gradient Optimization Techniques
- Valid Inference with Imperfect Synthetic Data
2025/08/08 by Yewon Byun, Shantanu Gupta, Byun, Yewon +8 · 6 voices · 2 citations
Mathematics · #Statistical Methods and Inference #cs.AI #cs.LG #stat.ML
- Clinical trial of an AI-augmented intervention for HIV prevention in youth experiencing homelessness
2020/09/21 by Wilder, Bryan, Onasch-Vera, Laura, Diguiseppi, Graham +5 · 2 citations
#FOS: Computer and information sciences #Social and Information Networks (cs.SI)
- Leaving the Nest: Going Beyond Local Loss Functions for Predict-Then-Optimize
2023/05/26 by Sanket Shah, Andrew Perrault, Shah, Sanket +5 · 2 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification #Adversarial Robustness in Machine Learning
- Utility-Directed Conformal Prediction: A Decision-Aware Framework for Actionable Uncertainty Quantification
2024/10/02 by Cortes-Gomez, Santiago, Patiño, Carlos, Byun, Yewon +3 · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Learning treatment effects while treating those in need
2024/07/10 by Bryan Wilder, Wilder, Bryan, Pim Welle +1 · 1 voice · 1 citation
Psychology · #Educational and Psychological Assessments #cs.LG #stat.ME #stat.ML
- Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses
2022/03/30 by Sanket Shah, Kai Wang, Shah, Sanket +7 · 1 citation
Computer Science · #Advanced Multi-Objective Optimization Algorithms #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Failure Modes of LLMs for Causal Reasoning on Narratives
2024/10/31 by Khurram Yamin, Yamin, Khurram, Shantanu Gupta +7 · 2 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multi-Agent Systems and Negotiation #Natural Language Processing Techniques #Topic Modeling
- Orthogonal Causal Calibration
2024/06/04 by Justin Whitehouse, Whitehouse, Justin, Christopher Jung +7 · 1 citation
Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistics Theory (math.ST)
- Auditing Fairness under Unobserved Confounding
2024/03/18 by Yewon Byun, Dylan Sam, Byun, Yewon +7 · 1 citation
Social Sciences · #Experimental Behavioral Economics Studies
- Decision-Focused Evaluation of Worst-Case Distribution Shift
2024/07/04 by Kevin Ren, Yewon Byun, Ren, Kevin +3 · 1 citation
Economics, Econometrics and Finance · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Regional Economic and Spatial Analysis