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. 2312.04528
  4. Cited By
Using Large Language Models for Hyperparameter Optimization

Using Large Language Models for Hyperparameter Optimization

7 December 2023
Michael Ruogu Zhang
Nishkrit Desai
Juhan Bae
Jonathan Lorraine
Jimmy Ba
ArXivPDFHTML

Papers citing "Using Large Language Models for Hyperparameter Optimization"

13 / 13 papers shown
Title
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows
Wenhao Li
Bo Jin
Mingyi Hong
Changhong Lu
Xiangfeng Wang
38
0
0
07 May 2025
SAS-Prompt: Large Language Models as Numerical Optimizers for Robot Self-Improvement
SAS-Prompt: Large Language Models as Numerical Optimizers for Robot Self-Improvement
H. B. Amor
L. Graesser
Atil Iscen
David B. DÁmbrosio
Saminda Abeyruwan
Alex Bewley
Yifan Zhou
Kamalesh Kalirathinam
Swaroop Mishra
Pannag R. Sanketi
LLMAG
LM&Ro
LRM
94
0
0
29 Apr 2025
Optuna vs Code Llama: Are LLMs a New Paradigm for Hyperparameter Tuning?
Optuna vs Code Llama: Are LLMs a New Paradigm for Hyperparameter Tuning?
Roman Kochnev
Arash Torabi Goodarzi
Zofia Antonina Bentyn
D. Ignatov
Radu Timofte
46
2
0
08 Apr 2025
Sequential Large Language Model-Based Hyper-parameter Optimization
Sequential Large Language Model-Based Hyper-parameter Optimization
Kanan Mahammadli
Seyda Ertekin
37
4
0
27 Oct 2024
Evolve Cost-aware Acquisition Functions Using Large Language Models
Evolve Cost-aware Acquisition Functions Using Large Language Models
Yiming Yao
Fei Liu
Ji Cheng
Qingfu Zhang
28
7
0
25 Apr 2024
Large Language Model Agent for Hyper-Parameter Optimization
Large Language Model Agent for Hyper-Parameter Optimization
Siyi Liu
Chen Gao
Yong Li
34
18
0
02 Feb 2024
When Large Language Models Meet Evolutionary Algorithms: Potential Enhancements and Challenges
When Large Language Models Meet Evolutionary Algorithms: Potential Enhancements and Challenges
Wang Chao
Jiaxuan Zhao
Licheng Jiao
Lingling Li
Fang Liu
Shuyuan Yang
45
13
0
19 Jan 2024
AutoML-GPT: Automatic Machine Learning with GPT
AutoML-GPT: Automatic Machine Learning with GPT
Shujian Zhang
Chengyue Gong
Lemeng Wu
Xingchao Liu
Mi Zhou
LLMAG
52
59
0
04 May 2023
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
291
2,712
0
24 May 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
315
8,261
0
28 Jan 2022
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter
  Optimization
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Marius Lindauer
Katharina Eggensperger
Matthias Feurer
André Biedenkapp
Difan Deng
C. Benjamins
Tim Ruhopf
René Sass
Frank Hutter
80
323
0
20 Sep 2021
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and
  Open Challenges
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges
B. Bischl
Martin Binder
Michel Lang
Tobias Pielok
Jakob Richter
...
Theresa Ullmann
Marc Becker
A. Boulesteix
Difan Deng
Marius Lindauer
77
268
0
13 Jul 2021
Forward and Reverse Gradient-Based Hyperparameter Optimization
Forward and Reverse Gradient-Based Hyperparameter Optimization
Luca Franceschi
Michele Donini
P. Frasconi
Massimiliano Pontil
109
370
0
06 Mar 2017
1