ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2006.10887
  4. Cited By
An adaptive stochastic gradient-free approach for high-dimensional
  blackbox optimization

An adaptive stochastic gradient-free approach for high-dimensional blackbox optimization

18 June 2020
Anton Dereventsov
Clayton Webster
Joseph Daws
ArXivPDFHTML

Papers citing "An adaptive stochastic gradient-free approach for high-dimensional blackbox optimization"

2 / 2 papers shown
Title
Increasing Entropy to Boost Policy Gradient Performance on
  Personalization Tasks
Increasing Entropy to Boost Policy Gradient Performance on Personalization Tasks
Andrew Starnes
Anton Dereventsov
Clayton Webster
24
0
0
09 Oct 2023
Greedy Shallow Networks: An Approach for Constructing and Training
  Neural Networks
Greedy Shallow Networks: An Approach for Constructing and Training Neural Networks
Anton Dereventsov
Armenak Petrosyan
Clayton Webster
13
9
0
24 May 2019
1