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stat.ML2024
An Optimistic Algorithm for Online Convex Optimization with Adversarial Constraints
Jordan Lekeufack, Michael I. Jordan
We study Online Convex Optimization (OCO) with adversarial constraints, where an online algorithm must make sequential decisions to minimize both convex loss functions and cumulati…
cs.LG2024
Reduced-Rank Multi-objective Policy Learning and Optimization
Ezinne Nwankwo, Michael I. Jordan, Angela Zhou
Evaluating the causal impacts of possible interventions is crucial for informing decision-making, especially towards improving access to opportunity. However, if causal effects are…