Adaptive Sampling Strategies for Stochastic Optimization

30 October 2017

Papers citing "Adaptive Sampling Strategies for Stochastic Optimization"

11 / 11 papers shown

Title
IMPACT: A Generic Semantic Loss for Multimodal Medical Image Registration Valentin Boussot Cédric Hémon Jean-Claude Nunes Jason Downling Simon Rouzé Caroline Lafond Anaïs Barateau Jean-Louis Dillenseger 51 0 0 31 Mar 2025
Adaptive Batch Size Schedules for Distributed Training of Language Models with Data and Model Parallelism Tim Tsz-Kit Lau Weijian Li Chenwei Xu Han Liu Mladen Kolar 200 0 0 30 Dec 2024
AdaBatchGrad: Combining Adaptive Batch Size and Adaptive Step Size P. Ostroukhov Aigerim Zhumabayeva Chulu Xiang Alexander Gasnikov Martin Takáč Dmitry Kamzolov ODL 46 2 0 07 Feb 2024
Communication-Efficient Federated Optimization over Semi-Decentralized Networks He Wang Yuejie Chi FedML 32 2 0 30 Nov 2023
PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization Qiqi Duan Guochen Zhou Chang Shao Zhuowei Wang Mingyang Feng Yuwei Huang Yajing Tan Yijun Yang Qi Zhao Yuhui Shi 34 5 0 12 Dec 2022
Adaptive Sampling Quasi-Newton Methods for Zeroth-Order Stochastic Optimization Raghu Bollapragada Stefan M. Wild 35 11 0 24 Sep 2021
On the equivalence of different adaptive batch size selection strategies for stochastic gradient descent methods L. Espath S. Krumscheid Raúl Tempone Pedro Vilanova 58 5 0 22 Sep 2021
Constrained and Composite Optimization via Adaptive Sampling Methods Yuchen Xie Raghu Bollapragada R. Byrd J. Nocedal 24 14 0 31 Dec 2020
SONIA: A Symmetric Blockwise Truncated Optimization Algorithm Majid Jahani M. Nazari R. Tappenden A. Berahas Martin Takávc ODL 11 10 0 06 Jun 2020
Adaptive Stochastic Optimization Frank E. Curtis K. Scheinberg ODL 16 29 0 18 Jan 2020
Empirical study towards understanding line search approximations for training neural networks Younghwan Chae D. Wilke 27 11 0 15 Sep 2019