Learning Bounds for Risk-sensitive Learning

Learning Bounds for Risk-sensitive Learning

15 June 2020

Sejun Park

Papers citing "Learning Bounds for Risk-sensitive Learning"

12 / 12 papers shown

Title
Towards Efficient Risk-Sensitive Policy Gradient: An Iteration Complexity Analysis Rui Liu Erfaun Noorani Pratap Tokekar John S. Baras 23 1 0 13 Mar 2024
Robust variance-regularized risk minimization with concomitant scaling Matthew J. Holland 26 1 0 27 Jan 2023
Stochastic Optimization for Spectral Risk Measures Ronak R. Mehta Vincent Roulet Krishna Pillutla Lang Liu Zaïd Harchaoui 21 6 0 10 Dec 2022
Rank-based Decomposable Losses in Machine Learning: A Survey Shu Hu Xin Wang Siwei Lyu 26 32 0 18 Jul 2022
Flexible risk design using bi-directional dispersion Matthew J. Holland 20 5 0 28 Mar 2022
Online Estimation and Optimization of Utility-Based Shortfall Risk Vishwajit Hegde Arvind S. Menon L. A. Prashanth Krishna Jagannathan 19 2 0 16 Nov 2021
Neural Network Pruning Through Constrained Reinforcement Learning Shehryar Malik Muhammad Umair Haider O. Iqbal M. Taj 18 0 0 16 Oct 2021
A Survey of Learning Criteria Going Beyond the Usual Risk Matthew J. Holland Kazuki Tanabe FaML 22 4 0 11 Oct 2021
Risk-Aware Learning for Scalable Voltage Optimization in Distribution Grids Shanny Lin Shaohui Liu Hao Zhu 10 9 0 04 Oct 2021
Spectral risk-based learning using unbounded losses Matthew J. Holland El Mehdi Haress 11 10 0 11 May 2021
Off-Policy Risk Assessment in Contextual Bandits Audrey Huang Liu Leqi Zachary Chase Lipton Kamyar Azizzadenesheli OffRL 25 36 0 18 Apr 2021
Adaptive Sampling for Stochastic Risk-Averse Learning Sebastian Curi Kfir Y. Levy Stefanie Jegelka Andreas Krause 8 51 0 28 Oct 2019