conftrace_

conditional value-at-risk

28 papers

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Also known as

CVAR

Co-occurring keywords

multi-armed bandit (1098) markov decision process (790) risk-sensitive optimization (5) heavy-tailed distribution (98) conditional value at risk (50) upper confidence bound (197) regret bound (1926) distributionally robust optimization (185) stochastic bandit (98) safety constraint (69)

Papers

Safe Multi-Agent Reinforcement Learning via Distributional Safety Critic and Maximum Entropy Optimization AAAI 2026
Optimizing Return Distributions with Distributional Dynamic Programming JMLR 2025
Risk-Sensitive Online Algorithms (Extended Abstract) COLT 2024
On Dynamic Programming Decompositions of Static Risk Measures in Markov Decision Processes NIPS 2023
On Tilted Losses in Machine Learning: Theory and Applications JMLR 2023
Risk-aware linear bandits with convex loss AISTATS 2023
A Unified Framework for Rank-based Loss Minimization NIPS 2023
Bayesian Risk Markov Decision Processes NIPS 2022
Risk-Aware Stochastic Shortest Path AAAI 2022
Distributionally-Aware Kernelized Bandit Problems for Risk Aversion ICML 2022
Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk IJCAI 2022
Learning with risk-averse feedback under potentially heavy tails AISTATS 2021
Bias-corrected peaks-over-threshold estimation of the CVaR UAI 2021
WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning AAAI 2021
Optimal Best-Arm Identification Methods for Tail-Risk Measures NIPS 2021
Two steps to risk sensitivity NIPS 2021
Near-Optimal MNL Bandits Under Risk Criteria AAAI 2021
Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis NIPS 2021
Optimizing Conditional Value-At-Risk of Black-Box Functions NIPS 2021
Adaptive Risk Sensitive Model Predictive Control with Stochastic Search L4DC 2021
Concentration bounds for CVaR estimation: The cases of light-tailed and heavy-tailed distributions ICML 2020
Adaptive Sampling for Stochastic Risk-Averse Learning NIPS 2020
Learning Bounds for Risk-sensitive Learning NIPS 2020
Uniform Convergence of Rank-weighted Learning ICML 2020
Concentration of risk measures: A Wasserstein distance approach NIPS 2019