Stochastic Constrained DRO with a Complexity Independent of Sample Size

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Stochastic Constrained DRO with a Complexity Independent of Sample Size

11 October 2022

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Papers citing "Stochastic Constrained DRO with a Complexity Independent of Sample Size"

14 / 14 papers shown

Title
Model Steering: Learning with a Reference Model Improves Generalization Bounds and Scaling Laws Xiyuan Wei Ming Lin Fanjiang Ye Fengguang Song Liangliang Cao My T. Thai Tianbao Yang LLMSV 103 0 0 10 May 2025
Nested Stochastic Algorithm for Generalized Sinkhorn distance-Regularized Distributionally Robust Optimization Yue Yang Yi Zhou Zhaosong Lu 108 0 0 29 Mar 2025
Communication-Efficient Federated Group Distributionally Robust Optimization Zhishuai Guo Tianbao Yang FedML 126 0 0 08 Oct 2024
Adaptive Preference Scaling for Reinforcement Learning with Human Feedback Ilgee Hong Zichong Li Alexander Bukharin Yixiao Li Haoming Jiang Tianbao Yang Tuo Zhao 80 6 0 04 Jun 2024
To Cool or not to Cool? Temperature Network Meets Large Foundation Models via DRO Zi-Hao Qiu Siqi Guo Mao Xu Tuo Zhao Lijun Zhang Tianbao Yang AI4TS AI4CE 115 4 0 06 Apr 2024
Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization Qi Zhang Yi Zhou Ashley Prater-Bennette Lixin Shen Shaofeng Zou 110 4 0 01 Apr 2024
Take the Bull by the Horns: Hard Sample-Reweighted Continual Training Improves LLM Generalization Xuxi Chen Zhendong Wang Daouda Sow Junjie Yang Tianlong Chen Yingbin Liang Mingyuan Zhou Zhangyang Wang 88 7 0 22 Feb 2024
FedDRO: Federated Compositional Optimization for Distributionally Robust Learning Prashant Khanduri Chengyin Li Rafi Ibn Sultan Yao Qiang Joerg Kliewer Dongxiao Zhu 82 0 0 21 Nov 2023
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization Ramnath Kumar Kushal Majmundar Dheeraj M. Nagaraj A. Suggala ODL 64 6 0 15 Jun 2023
Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization Zimeng Qiu Quanqi Hu Zhuoning Yuan Denny Zhou Lijun Zhang Tianbao Yang 97 21 0 19 May 2023
Distributionally Robust Learning with Weakly Convex Losses: Convergence Rates and Finite-Sample Guarantees Landi Zhu Mert Gurbuzbalaban A. Ruszczynski 74 7 0 16 Jan 2023
Sinkhorn Distributionally Robust Optimization Jie Wang Rui Gao Yao Xie 143 40 0 24 Sep 2021
Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence Qi Qi Youzhi Luo Zhao Xu Shuiwang Ji Tianbao Yang 57 62 0 18 Apr 2021
Attentional-Biased Stochastic Gradient Descent Q. Qi Yi Tian Xu Rong Jin W. Yin Tianbao Yang ODL 71 12 0 13 Dec 2020

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