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Sequential Large Language Model-Based Hyper-parameter Optimization
v1v2v3 (latest)

Sequential Large Language Model-Based Hyper-parameter Optimization

27 October 2024
Kanan Mahammadli
Seyda Ertekin
ArXiv (abs)PDFHTML

Papers citing "Sequential Large Language Model-Based Hyper-parameter Optimization"

26 / 26 papers shown
Title
Reasoning BO: Enhancing Bayesian Optimization with Long-Context Reasoning Power of LLMs
Reasoning BO: Enhancing Bayesian Optimization with Long-Context Reasoning Power of LLMs
Zhuo Yang
Lingli Ge
Dong Han
Tianfan Fu
Yuqiang Li
55
0
0
19 May 2025
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
145
0
0
07 May 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
116
3
0
08 Apr 2025
Autonomous Radiotherapy Treatment Planning Using DOLA: A Privacy-Preserving, LLM-Based Optimization Agent
Autonomous Radiotherapy Treatment Planning Using DOLA: A Privacy-Preserving, LLM-Based Optimization Agent
Humza Nusrat
Bing Luo
Ryan Hall
Joshua Kim
H. Bagher-Ebadian
Anthony Doemer
B. Movsas
Kundan Thind
AI4CE
71
1
0
21 Mar 2025
Language-Based Bayesian Optimization Research Assistant (BORA)
A. Cissé
Xenophon Evangelopoulos
V. Gusev
Andrew I. Cooper
102
1
0
28 Jan 2025
LICO: Large Language Models for In-Context Molecular Optimization
LICO: Large Language Models for In-Context Molecular Optimization
Tung Nguyen
Aditya Grover
70
10
0
27 Jun 2024
Large Language Models to Enhance Bayesian Optimization
Large Language Models to Enhance Bayesian Optimization
Tennison Liu
Nicolás Astorga
Nabeel Seedat
M. Schaar
128
56
0
06 Feb 2024
Large Language Model Agent for Hyper-Parameter Optimization
Large Language Model Agent for Hyper-Parameter Optimization
Siyi Liu
Chen Gao
Yong Li
112
23
0
02 Feb 2024
Using Large Language Models for Hyperparameter Optimization
Using Large Language Models for Hyperparameter Optimization
Michael Ruogu Zhang
Nishkrit Desai
Juhan Bae
Jonathan Lorraine
Jimmy Ba
69
51
0
07 Dec 2023
Large Language Models as Evolutionary Optimizers
Large Language Models as Evolutionary Optimizers
Shengcai Liu
Caishun Chen
Xinghua Qu
Jiaheng Zhang
Yew-Soon Ong
68
105
0
29 Oct 2023
Large Language Model for Multi-objective Evolutionary Optimization
Large Language Model for Multi-objective Evolutionary Optimization
Fei Liu
Xi Lin
Zhenkun Wang
Shunyu Yao
Xialiang Tong
Mingxuan Yuan
Qingfu Zhang
41
40
0
19 Oct 2023
Large Language Models for Information Retrieval: A Survey
Large Language Models for Information Retrieval: A Survey
Yutao Zhu
Huaying Yuan
Shuting Wang
Jiongnan Liu
Wenhan Liu
Chenlong Deng
Haonan Chen
Zhicheng Dou
Ji-Rong Wen
KELM
111
312
0
14 Aug 2023
Learning to Retrieve In-Context Examples for Large Language Models
Learning to Retrieve In-Context Examples for Large Language Models
Liang Wang
Nan Yang
Furu Wei
RALM
63
43
0
14 Jul 2023
Transfer Learning for Bayesian Optimization: A Survey
Transfer Learning for Bayesian Optimization: A Survey
Tianyi Bai
Yang Li
Yu Shen
Xinyi Zhang
Wentao Zhang
Tengjiao Wang
BDL
69
31
0
12 Feb 2023
Large Language Models Are Latent Variable Models: Explaining and Finding
  Good Demonstrations for In-Context Learning
Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning
Xinyi Wang
Wanrong Zhu
Michael Stephen Saxon
Mark Steyvers
William Yang Wang
BDL
123
112
0
27 Jan 2023
Transfer Learning based Search Space Design for Hyperparameter Tuning
Transfer Learning based Search Space Design for Hyperparameter Tuning
Yang Li
Yu Shen
Huaijun Jiang
Tianyi Bai
Wentao Zhang
Ce Zhang
Tengjiao Wang
57
13
0
06 Jun 2022
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLMLRM
513
4,077
0
24 May 2022
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
808
42,055
0
28 May 2020
A Modified Bayesian Optimization based Hyper-Parameter Tuning Approach
  for Extreme Gradient Boosting
A Modified Bayesian Optimization based Hyper-Parameter Tuning Approach for Extreme Gradient Boosting
Sayan Putatunda
Kiran Rama
41
30
0
10 Apr 2020
Learning search spaces for Bayesian optimization: Another view of
  hyperparameter transfer learning
Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning
Valerio Perrone
Huibin Shen
Matthias Seeger
Cédric Archambeau
Rodolphe Jenatton
65
97
0
27 Sep 2019
Optuna: A Next-generation Hyperparameter Optimization Framework
Optuna: A Next-generation Hyperparameter Optimization Framework
Takuya Akiba
Shotaro Sano
Toshihiko Yanase
Takeru Ohta
Masanori Koyama
663
5,808
0
25 Jul 2019
Fast Hyperparameter Tuning using Bayesian Optimization with Directional
  Derivatives
Fast Hyperparameter Tuning using Bayesian Optimization with Directional Derivatives
Tinu Theckel Joy
Santu Rana
Sunil R. Gupta
Svetha Venkatesh
45
56
0
06 Feb 2019
Warm Starting Bayesian Optimization
Warm Starting Bayesian Optimization
Matthias Poloczek
Jialei Wang
P. Frazier
85
61
0
11 Aug 2016
Unbounded Bayesian Optimization via Regularization
Unbounded Bayesian Optimization via Regularization
Bobak Shahriari
Alexandre Bouchard-Côté
Nando de Freitas
BDL
36
69
0
14 Aug 2015
OpenML: networked science in machine learning
OpenML: networked science in machine learning
Joaquin Vanschoren
Jan N. van Rijn
B. Bischl
Luís Torgo
FedMLAI4CE
163
1,324
0
29 Jul 2014
Practical Bayesian Optimization of Machine Learning Algorithms
Practical Bayesian Optimization of Machine Learning Algorithms
Jasper Snoek
Hugo Larochelle
Ryan P. Adams
359
7,942
0
13 Jun 2012
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