Showing 1–20 of 203 results
/ Date/ Name
Oct 9, 2020Bias and Variance of Post-processing in Differential PrivacyJan 21, 2019Differential Privacy for Power Grid ObfuscationJun 29, 2020High-Fidelity Machine Learning Approximations of Large-Scale Optimal Power FlowJul 14, 2020Combining Deep Learning and Optimization for Security-Constrained Optimal Power FlowJan 26, 2020Bilevel Optimization for Differentially Private Optimization in Energy SystemsMar 30, 2021End-to-End Constrained Optimization Learning: A SurveyJan 26, 2021Ridesharing and Fleet Sizing For On-Demand Multimodal Transit SystemsJan 4, 2021Capturing Travel Mode Adoption in Designing On-demand Multimodal Transit SystemsMar 24, 2020Real-Time Dispatching of Large-Scale Ride-Sharing Systems: Integrating Optimization, Machine Learning, and Model Predictive ControlDec 21, 2021A Linear Outer Approximation of Line Losses for DC-based Optimal Power Flow ProblemsApr 2, 2022Risk-Aware Control and Optimization for High-Renewable Power GridsAug 18, 2022Self-Supervised Primal-Dual Learning for Constrained OptimizationJan 23, 2023Two-Stage Learning For the Flexible Job Shop Scheduling ProblemApr 23, 2023End-to-End Feasible Optimization Proxies for Large-Scale Economic DispatchMay 4, 2023Constraint Programming to Improve Hub Utilization in Autonomous Transfer Hub NetworksSep 27, 2013Propagating Regular Counting ConstraintsNov 2, 2014Optimizing Expected Utility in a Multinomial Logit Model with Position Bias and Social InfluenceDec 22, 2015Popularity Signals in Trial-Offer Markets with Social Influence and Position BiasMay 16, 2021Decision Making with Differential Privacy under a Fairness LensNov 7, 2024Differential Privacy Overview and Fundamental Techniques