conftrace_

risk-aware optimization

5 papers

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Co-occurring keywords · papers mentioning both

regret bound (2) thompson sampling (2) superquantile optimization (1) risk optimization (1) worst-case perturbation (1) scenario reduction (1) average-case learning (1) option correlation (1) mean-variance bandit (1) conditional value at risk (1)

Papers

Fast Computation of Superquantile-Constrained Optimization Through Implicit Scenario Reduction JMLR 2025 Probabilistically Robust Learning: Balancing Average and Worst-case Performance ICML 2022 Continuous Mean-Covariance Bandits NeurIPS 2021 Optimal Thompson Sampling strategies for support-aware CVaR bandits ICML 2021 Thompson Sampling Algorithms for Mean-Variance Bandits ICML 2020