Asymptotic normality and optimality in nonsmooth stochastic approximation

16 January 2023

Papers citing "Asymptotic normality and optimality in nonsmooth stochastic approximation"

12 / 12 papers shown

Title
Online Statistical Inference of Constrained Stochastic Optimization via Random Scaling Xinchen Du Wanrong Zhu Wei Biao Wu Sen Na OffRL 17 0 0 23 May 2025
Statistical Inference for Online Algorithms Selina Carter Arun K Kuchibhotla 60 1 0 22 May 2025
Agentic Knowledgeable Self-awareness Shuofei Qiao Zihan Qiu Baochang Ren Xiaobin Wang Xiangyuan Ru ... Xiang Chen Yong Jiang Pengjun Xie Fei Huang Hong Chen LLMAG AIFin LM&Ro 99 1 0 04 Apr 2025
Online Covariance Estimation in Nonsmooth Stochastic Approximation L. Jiang Abhishek Roy Krishna Balasubramanian Damek Davis Dmitriy Drusvyatskiy Sen Na 119 1 0 07 Feb 2025
The Stochastic Conjugate Subgradient Algorithm For Kernel Support Vector Machines Di Zhang Suvrajeet Sen 63 6 0 30 Jul 2024
The radius of statistical efficiency Joshua Cutler Mateo Díaz Dmitriy Drusvyatskiy 52 0 0 15 May 2024
Stochastic Optimization with Constraints: A Non-asymptotic Instance-Dependent Analysis K. Khamaru 29 0 0 24 Mar 2024
Online covariance estimation for stochastic gradient descent under Markovian sampling Abhishek Roy Krishnakumar Balasubramanian 97 6 0 03 Aug 2023
High-dimensional scaling limits and fluctuations of online least-squares SGD with smooth covariance Krishnakumar Balasubramanian Promit Ghosal Ye He 107 5 0 03 Apr 2023
Statistical Inference for Linear Functionals of Online SGD in High-dimensional Linear Regression Bhavya Agrawalla Krishnakumar Balasubramanian Promit Ghosal 107 2 0 20 Feb 2023
Exponential Concentration in Stochastic Approximation K. Law N. Walton Shan Yang 43 0 0 15 Aug 2022
Stochastic algorithms with geometric step decay converge linearly on sharp functions Damek Davis Dmitriy Drusvyatskiy Vasileios Charisopoulos 73 28 0 22 Jul 2019