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Sequential Large Language Model-Based Hyper-parameter Optimization
27 October 2024
Kanan Mahammadli
Seyda Ertekin
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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
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Lingli Ge
Dong Han
Tianfan Fu
Yuqiang Li
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19 May 2025
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?
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
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
Tung Nguyen
Aditya Grover
70
10
0
27 Jun 2024
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
Siyi Liu
Chen Gao
Yong Li
112
23
0
02 Feb 2024
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
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
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
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
Liang Wang
Nan Yang
Furu Wei
RALM
63
43
0
14 Jul 2023
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
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
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
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
513
4,077
0
24 May 2022
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
Sayan Putatunda
Kiran Rama
41
30
0
10 Apr 2020
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
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
Tinu Theckel Joy
Santu Rana
Sunil R. Gupta
Svetha Venkatesh
45
56
0
06 Feb 2019
Warm Starting Bayesian Optimization
Matthias Poloczek
Jialei Wang
P. Frazier
85
61
0
11 Aug 2016
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
Joaquin Vanschoren
Jan N. van Rijn
B. Bischl
Luís Torgo
FedML
AI4CE
163
1,324
0
29 Jul 2014
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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