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2012.04371
Cited By
Efficient Automatic CASH via Rising Bandits
8 December 2020
Yan Zhao
Jiawei Jiang
Jinyang Gao
Yingxia Shao
Ce Zhang
Tengjiao Wang
Re-assign community
ArXiv (abs)
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HuggingFace (1 upvotes)
Papers citing
"Efficient Automatic CASH via Rising Bandits"
25 / 25 papers shown
LLMs as In-Context Meta-Learners for Model and Hyperparameter Selection
Youssef Attia El Hili
Albert Thomas
Malik Tiomoko
Abdelhakim Benechehab
Corentin Léger
Corinne Ancourt
Balázs Kégl
359
1
0
30 Oct 2025
A Review on Single-Problem Multi-Attempt Heuristic Optimization
J. Echevarrieta
Etor Arza
A. Pérez
Josu Ceberio
122
0
0
30 Sep 2025
In-Context Decision Making for Optimizing Complex AutoML Pipelines
Amir Rezaei Balef
Katharina Eggensperger
219
0
0
19 Aug 2025
Put CASH on Bandits: A Max K-Armed Problem for Automated Machine Learning
Amir Rezaei Balef
Claire Vernade
Katharina Eggensperger
373
3
0
08 May 2025
Never Start from Scratch: Expediting On-Device LLM Personalization via Explainable Model Selection
ACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services (MobiSys), 2025
Haoming Wang
Boyuan Yang
Xiangyu Yin
Wei Gao
488
7
0
15 Apr 2025
On Mitigating Affinity Bias through Bandits with Evolving Biased Feedback
Matthew Faw
Constantine Caramanis
Jessica Hoffmann
150
0
0
07 Mar 2025
Bayesian Optimization for Simultaneous Selection of Machine Learning Algorithms and Hyperparameters on Shared Latent Space
Knowledge Discovery and Data Mining (KDD), 2025
Kazuki Ishikawa
Ryota Ozaki
Yohei Kanzaki
Ichiro Takeuchi
Masayuki Karasuyama
BDL
278
0
0
13 Feb 2025
Nearly-tight Approximation Guarantees for the Improving Multi-Armed Bandits Problem
Avrim Blum
Kavya Ravichandran
184
2
0
01 Apr 2024
State-Separated SARSA: A Practical Sequential Decision-Making Algorithm with Recovering Rewards
Yuto Tanimoto
Kenji Fukumizu
200
0
0
18 Mar 2024
Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits
The Web Conference (WWW), 2024
Yu Xia
Fang-yuan Kong
Tong Yu
Liya Guo
Ryan Rossi
Sungchul Kim
Shuai Li
204
33
0
11 Mar 2024
OpenBox: A Python Toolkit for Generalized Black-box Optimization
Journal of machine learning research (JMLR), 2023
Huaijun Jiang
Yu Shen
Yan Zhao
Beicheng Xu
Sixian Du
Wentao Zhang
Ce Zhang
Tengjiao Wang
390
15
0
26 Apr 2023
A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning
Xinyi Zhang
Zhuonan Chang
Hong Wu
Yan Zhao
Jia Chen
Jian Tan
Feifei Li
Tengjiao Wang
185
23
0
10 Mar 2023
VOCALExplore: Pay-as-You-Go Video Data Exploration and Model Building [Technical Report]
Proceedings of the VLDB Endowment (PVLDB), 2023
Maureen Daum
Enhao Zhang
Dong He
Stephen Mussmann
Brandon Haynes
Ranjay Krishna
Magdalena Balazinska
403
7
0
07 Mar 2023
Linear Bandits with Memory: from Rotting to Rising
Giulia Clerici
Pierre Laforgue
Nicolò Cesa-Bianchi
256
3
0
16 Feb 2023
Best Arm Identification for Stochastic Rising Bandits
International Conference on Machine Learning (ICML), 2023
Marco Mussi
Alessandro Montenegro
Francesco Trovò
Marcello Restelli
Alberto Maria Metelli
290
4
0
15 Feb 2023
Transfer Learning for Bayesian Optimization: A Survey
Tianyi Bai
Yan Zhao
Yu Shen
Xinyi Zhang
Wentao Zhang
Tengjiao Wang
BDL
318
49
0
12 Feb 2023
DivBO: Diversity-aware CASH for Ensemble Learning
Neural Information Processing Systems (NeurIPS), 2023
Yu Shen
Yupeng Lu
Yan Zhao
Yaofeng Tu
Wentao Zhang
Tengjiao Wang
236
13
0
07 Feb 2023
Stochastic Rising Bandits
International Conference on Machine Learning (ICML), 2022
Alberto Maria Metelli
F. Trovò
Matteo Pirola
Marcello Restelli
210
19
0
07 Dec 2022
TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning
Knowledge Discovery and Data Mining (KDD), 2022
Yan Zhao
Yu Shen
Huaijun Jiang
Wentao Zhang
Zhi-Xin Yang
Ce Zhang
Tengjiao Wang
224
19
0
06 Jun 2022
Transfer Learning based Search Space Design for Hyperparameter Tuning
Knowledge Discovery and Data Mining (KDD), 2022
Yan Zhao
Yu Shen
Huaijun Jiang
Tianyi Bai
Wentao Zhang
Ce Zhang
Tengjiao Wang
251
18
0
06 Jun 2022
Search-based Methods for Multi-Cloud Configuration
IEEE International Conference on Cloud Computing (CLOUD), 2022
M. Lazuka
Thomas P. Parnell
Andreea Anghel
Haralambos Pozidis
135
10
0
20 Apr 2022
Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale
Proceedings of the VLDB Endowment (PVLDB), 2022
Yan Zhao
Yu Shen
Huaijun Jiang
Wentao Zhang
Jixiang Li
Ji Liu
Ce Zhang
Tengjiao Wang
220
32
0
18 Jan 2022
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition
The VLDB journal (VLDBJ), 2021
Yan Zhao
Yu Shen
Wentao Zhang
Jiawei Jiang
Bolin Ding
...
Jingren Zhou
Zhi-Xin Yang
Wentao Wu
Ce Zhang
Tengjiao Wang
LRM
232
55
0
19 Jul 2021
OpenBox: A Generalized Black-box Optimization Service
Knowledge Discovery and Data Mining (KDD), 2021
Yan Zhao
Yu Shen
Wentao Zhang
Yuan-Wei Chen
Huaijun Jiang
...
Jinyang Gao
Wentao Wu
Zhi-Xin Yang
Ce Zhang
Tengjiao Wang
252
90
0
01 Jun 2021
MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements
AAAI Conference on Artificial Intelligence (AAAI), 2020
Yan Zhao
Yu Shen
Jiawei Jiang
Jinyang Gao
Ce Zhang
Tengjiao Wang
270
30
0
05 Dec 2020
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![VOCALExplore: Pay-as-You-Go Video Data Exploration and Model Building
[Technical Report]](https://cdn.parameterlab.de/resized-images/aHR0cHM6Ly9jZG4ucGFyYW1ldGVybGFiLmRlL3BhcGVycy8yMzAzLjA0MDY4L3BhZ2VzL3BhZ2UtMS1xODBkMzAwLmpwZw?w=256&q=75&f=webp)
