Adaptive Sampling for Stochastic Risk-Averse Learning

Adaptive Sampling for Stochastic Risk-Averse Learning

28 October 2019

Stefanie Jegelka

Papers citing "Adaptive Sampling for Stochastic Risk-Averse Learning"

17 / 17 papers shown

Title
SOREL: A Stochastic Algorithm for Spectral Risks Minimization Yuze Ge Rujun Jiang 33 0 0 19 Jul 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
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 17 5 0 06 Sep 2022
Asymptotic Consistency for Nonconvex Risk-Averse Stochastic Optimization with Infinite Dimensional Decision Spaces Johannes Milz T. Surowiec 16 4 0 29 Jul 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
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
Linear Bandits on Uniformly Convex Sets Thomas Kerdreux Christophe Roux Alexandre d’Aspremont S. Pokutta 10 7 0 10 Mar 2021
Coping with Label Shift via Distributionally Robust Optimisation J. Zhang A. Menon Andreas Veit Srinadh Bhojanapalli Sanjiv Kumar S. Sra OOD 11 70 0 23 Oct 2020
Learning Bounds for Risk-sensitive Learning Jaeho Lee Sejun Park Jinwoo Shin 9 45 0 15 Jun 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 305 4,203 0 23 Aug 2019
Determinantal point processes for machine learning Alex Kulesza B. Taskar 160 1,122 0 25 Jul 2012
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 251 7,633 0 03 Jul 2012