Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis

24 October 2021

Papers citing "Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis"

21 / 21 papers shown

Title
An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness Xiaochuan Gong Jie Hao Mingrui Liu 93 2 0 28 Sep 2024
Convergence Guarantees for RMSProp and Adam in Generalized-smooth Non-convex Optimization with Affine Noise Variance Qi Zhang Yi Zhou Shaofeng Zou 104 7 0 01 Apr 2024
Noisy Linear Convergence of Stochastic Gradient Descent for CV@R Statistical Learning under Polyak-Łojasiewicz Conditions Dionysios S. Kalogerias 52 8 0 14 Dec 2020
Coping with Label Shift via Distributionally Robust Optimisation J.N. Zhang A. Menon Andreas Veit Srinadh Bhojanapalli Sanjiv Kumar S. Sra OOD 63 71 0 23 Oct 2020
Large-Scale Methods for Distributionally Robust Optimization Daniel Levy Y. Carmon John C. Duchi Aaron Sidford 76 217 0 12 Oct 2020
Improved Analysis of Clipping Algorithms for Non-convex Optimization Bohang Zhang Jikai Jin Cong Fang Liwei Wang 89 92 0 05 Oct 2020
Remix: Rebalanced Mixup Hsin-Ping Chou Shih-Chieh Chang Jia-Yu Pan Wei Wei Da-Cheng Juan 82 237 0 08 Jul 2020
A Stochastic Subgradient Method for Distributionally Robust Non-Convex Learning Mert Gurbuzbalaban A. Ruszczynski Landi Zhu 48 9 0 08 Jun 2020
Statistical Learning with Conditional Value at Risk Tasuku Soma Yuichi Yoshida 76 38 0 14 Feb 2020
Convergence of a Stochastic Gradient Method with Momentum for Non-Smooth Non-Convex Optimization Vien V. Mai M. Johansson 67 55 0 13 Feb 2020
Momentum Improves Normalized SGD Ashok Cutkosky Harsh Mehta ODL 68 125 0 09 Feb 2020
Why are Adaptive Methods Good for Attention Models? J.N. Zhang Sai Praneeth Karimireddy Andreas Veit Seungyeon Kim Sashank J. Reddi Surinder Kumar S. Sra 92 80 0 06 Dec 2019
Lower Bounds for Non-Convex Stochastic Optimization Yossi Arjevani Y. Carmon John C. Duchi Dylan J. Foster Nathan Srebro Blake E. Woodworth 73 359 0 05 Dec 2019
Why gradient clipping accelerates training: A theoretical justification for adaptivity J.N. Zhang Tianxing He S. Sra Ali Jadbabaie 76 460 0 28 May 2019
Learning Models with Uniform Performance via Distributionally Robust Optimization John C. Duchi Hongseok Namkoong OOD 58 419 0 20 Oct 2018
Fairness Without Demographics in Repeated Loss Minimization Tatsunori B. Hashimoto Megha Srivastava Hongseok Namkoong Percy Liang FaML 108 584 0 20 Jun 2018
Stochastic model-based minimization of weakly convex functions Damek Davis Dmitriy Drusvyatskiy 80 377 0 17 Mar 2018
Stochastic Variance Reduction for Nonconvex Optimization Sashank J. Reddi Ahmed S. Hefny S. Sra Barnabás Póczós Alex Smola 96 602 0 19 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,115 0 22 Dec 2014
Stochastic First- and Zeroth-order Methods for Nonconvex Stochastic Programming Saeed Ghadimi Guanghui Lan ODL 120 1,550 0 22 Sep 2013