Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications

24 February 2022

Papers citing "Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications"

6 / 6 papers shown

Title
Fairness via Adversarial Attribute Neighbourhood Robust Learning Q. Qi Shervin Ardeshir Yi Tian Xu Tianbao Yang 32 0 0 12 Oct 2022
Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization Wei Jiang Gang Li Yibo Wang Lijun Zhang Tianbao Yang 22 16 0 18 Jul 2022
When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee Dixian Zhu Gang Li Bokun Wang Xiaodong Wu Tianbao Yang 17 28 0 01 Mar 2022
Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance Zhuoning Yuan Yuexin Wu Zi-qi Qiu Xianzhi Du Lijun Zhang Denny Zhou Tianbao Yang 17 26 0 24 Feb 2022
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 237 11,568 0 09 Mar 2017
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network Jared Katzman Uri Shaham Jonathan Bates A. Cloninger Tingting Jiang Y. Kluger BDL CML OOD 102 1,011 0 02 Jun 2016