Risk-Averse Stochastic Convex Bandit

1 October 2018

Papers citing "Risk-Averse Stochastic Convex Bandit"

9 / 9 papers shown

Title
A Model-Based Method for Minimizing CVaR and Beyond S. Meng Robert Mansel Gower 34 4 0 27 May 2023
A Zeroth-Order Momentum Method for Risk-Averse Online Convex Games Zifan Wang Yi Shen Zachary I. Bell Scott A. Nivison Michael M. Zavlanos Karl H. Johansson 32 5 0 06 Sep 2022
ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision Medicine Ilker Demirel Ahmet Çelik Cem Tekin 36 4 0 26 Nov 2021
A Survey of Learning Criteria Going Beyond the Usual Risk Matthew J. Holland Kazuki Tanabe FaML 29 4 0 11 Oct 2021
Risk-Aware Learning for Scalable Voltage Optimization in Distribution Grids Shanny Lin Shaohui Liu Hao Zhu 20 9 0 04 Oct 2021
Learning Bounds for Risk-sensitive Learning Jaeho Lee Sejun Park Jinwoo Shin 25 46 0 15 Jun 2020
Statistical Learning with Conditional Value at Risk Tasuku Soma Yuichi Yoshida 10 38 0 14 Feb 2020
The Online Saddle Point Problem and Online Convex Optimization with Knapsacks Adrian Rivera Cardoso He Wang Huan Xu 40 11 0 21 Jun 2018
Kernel-based methods for bandit convex optimization Sébastien Bubeck Ronen Eldan Y. Lee 86 164 0 11 Jul 2016