Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications

24 February 2022

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

22 / 22 papers shown

Title
Single-loop Algorithms for Stochastic Non-convex Optimization with Weakly-Convex Constraints Ming Yang Gang Li Quanqi Hu Qihang Lin Tianbao Yang 31 0 0 21 Apr 2025
Discriminative Finetuning of Generative Large Language Models without Reward Models and Human Preference Data Siqi Guo Ilgee Hong Vicente Balmaseda Changlong Yu Liang Qiu Xin Liu Haoming Jiang Tuo Zhao Tianbao Yang 43 0 0 25 Feb 2025
Communication-Efficient Federated Group Distributionally Robust Optimization Zhishuai Guo Tianbao Yang FedML 33 0 0 08 Oct 2024
FastCLIP: A Suite of Optimization Techniques to Accelerate CLIP Training with Limited Resources Xiyuan Wei Fanjiang Ye Ori Yonay Xingyu Chen Baixi Sun Dingwen Tao Tianbao Yang VLM CLIP 59 2 0 01 Jul 2024
Provable Optimization for Adversarial Fair Self-supervised Contrastive Learning Qi Qi Quanqi Hu Qihang Lin Tianbao Yang 37 1 0 09 Jun 2024
Non-Smooth Weakly-Convex Finite-sum Coupled Compositional Optimization Quanqi Hu Dixian Zhu Tianbao Yang 35 8 0 05 Oct 2023
Federated Conditional Stochastic Optimization Xidong Wu Jianhui Sun Zhengmian Hu Junyi Li Aidong Zhang Heng-Chiao Huang FedML 44 4 0 04 Oct 2023
Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining Xidong Wu Zhengmian Hu Jian Pei Heng Huang 32 12 0 06 Aug 2023
Learning Unnormalized Statistical Models via Compositional Optimization Wei Jiang Jiayu Qin Lingyu Wu Changyou Chen Tianbao Yang Lijun Zhang 28 3 0 13 Jun 2023
LibAUC: A Deep Learning Library for X-Risk Optimization Zhuoning Yuan Dixian Zhu Zimeng Qiu Gang Li Xuanhui Wang Tianbao Yang BDL 43 16 0 05 Jun 2023
Provable Multi-instance Deep AUC Maximization with Stochastic Pooling Dixian Zhu Bokun Wang Zhi Chen Yaxing Wang Milan Sonka Xiaodong Wu Tianbao Yang 22 3 0 14 May 2023
Debiasing Conditional Stochastic Optimization Lie He S. Kasiviswanathan CML BDL 46 4 0 20 Apr 2023
FeDXL: Provable Federated Learning for Deep X-Risk Optimization Zhishuai Guo R. L. Jin Jiebo Luo Tianbao Yang FedML 47 8 0 26 Oct 2022
Fairness via Adversarial Attribute Neighbourhood Robust Learning Q. Qi Shervin Ardeshir Yi Tian Xu Tianbao Yang 40 0 0 12 Oct 2022
Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability Peisong Wen Qianqian Xu Zhiyong Yang Yuan He Qingming Huang 53 10 0 27 Sep 2022
Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization Wei Jiang Gang Li Yibo Wang Lijun Zhang Tianbao Yang 32 16 0 18 Jul 2022
Algorithmic Foundations of Empirical X-risk Minimization Tianbao Yang 35 5 0 01 Jun 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 33 29 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 34 26 0 24 Feb 2022
Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence Zimeng Qiu Quanqi Hu Yongjian Zhong Lijun Zhang Tianbao Yang BDL 19 17 0 24 Feb 2022
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 338 11,684 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 115 1,231 0 02 Jun 2016