Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales

Terms and Conditions

Twitter GitHub LinkedIn Bluesky Youtube

© 2026 ResearchTrend.AI, All rights reserved.

Home
Papers
1910.13516
Cited By

Adaptive Sampling Quasi-Newton Methods for Derivative-Free Stochastic
Optimization

Adaptive Sampling Quasi-Newton Methods for Derivative-Free Stochastic Optimization

29 October 2019

Raghu Bollapragada

ArXiv (abs)PDF HTML

Papers citing "Adaptive Sampling Quasi-Newton Methods for Derivative-Free Stochastic Optimization"

3 / 3 papers shown

Dynamic Anisotropic Smoothing for Noisy Derivative-Free Optimization

Dynamic Anisotropic Smoothing for Noisy Derivative-Free OptimizationInternational Conference on Machine Learning (ICML), 2024

Yoshihisa Yamamoto

238

1

0

02 May 2024

Adaptive First- and Second-Order Algorithms for Large-Scale Machine
Learning

Adaptive First- and Second-Order Algorithms for Large-Scale Machine Learning

Tiphaine Bonniot de Ruisselet

140

1

0

29 Nov 2021

Stochastic Damped L-BFGS with Controlled Norm of the Hessian
Approximation

Stochastic Damped L-BFGS with Controlled Norm of the Hessian Approximation

Tiphaine Bonniot de Ruisselet

93

6

0

10 Dec 2020