Title
Put CASH on Bandits: A Max K-Armed Problem for Automated Machine Learning Amir Rezaei Balef Claire Vernade Katharina Eggensperger 38 0 0 08 May 2025
A Model Zoo of Vision Transformers Damian Falk Léo Meynent Florence Pfammatter Konstantin Schurholt Damian Borth 32 0 0 14 Apr 2025
QuestBench: Can LLMs ask the right question to acquire information in reasoning tasks? Belinda Z. Li Been Kim Z. Wang LRM 38 2 0 28 Mar 2025
Make Optimization Once and for All with Fine-grained Guidance Mingjia Shi Ruihan Lin Xuxi Chen Yuhao Zhou Zezhen Ding ... Tong Wang Kai Wang Zhangyang Wang J. Zhang Tianlong Chen 53 1 0 14 Mar 2025
PABBO: Preferential Amortized Black-Box Optimization Xinyu Zhang Daolang Huang Samuel Kaski Julien Martinelli 34 0 0 02 Mar 2025
EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization Mujin Cheon Jay H. Lee Dong-Yeun Koh Calvin Tsay 21 0 0 31 Oct 2024
Principled Bayesian Optimisation in Collaboration with Human Experts Wenjie Xu Masaki Adachi Colin N. Jones Michael A. Osborne 31 2 0 14 Oct 2024
Predicting from Strings: Language Model Embeddings for Bayesian Optimization Tung Nguyen Qiuyi Zhang Bangding Yang Chansoo Lee J. Bornschein Yingjie Miao Sagi Perel Yutian Chen Xingyou Song BDL 26 1 0 14 Oct 2024
Sample-Efficient Bayesian Optimization with Transfer Learning for Heterogeneous Search Spaces Aryan Deshwal Sait Cakmak Yuhou Xia David Eriksson 30 0 0 09 Sep 2024
Narrowing the Focus: Learned Optimizers for Pretrained Models Gus Kristiansen Mark Sandler A. Zhmoginov Nolan Miller Anirudh Goyal Jihwan Lee Max Vladymyrov 27 1 0 17 Aug 2024
Frontiers of Deep Learning: From Novel Application to Real-World Deployment Rui Xie VLM 35 1 0 19 Jul 2024
FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch Virginia Aglietti Ira Ktena Jessica Schrouff Eleni Sgouritsa Francisco J. R. Ruiz Alan Malek Alexis Bellot Silvia Chiappa 27 2 0 07 Jun 2024
Configurable Mirror Descent: Towards a Unification of Decision Making Pengdeng Li Shuxin Li Chang Yang Xinrun Wang Shuyue Hu Xiao Huang Hau Chan Bo An 27 1 0 20 May 2024
WEITS: A Wavelet-enhanced residual framework for interpretable time series forecasting Ziyou Guo Yan Sun Tieru Wu AI4TS 23 2 0 17 May 2024
Large Language Models for Tuning Evolution Strategies Oliver Kramer 22 2 0 16 May 2024
Position: Leverage Foundational Models for Black-Box Optimization Xingyou Song Yingtao Tian Robert Tjarko Lange Chansoo Lee Yujin Tang Yutian Chen 38 5 0 06 May 2024
In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization Herilalaina Rakotoarison Steven Adriaensen Neeratyoy Mallik Samir Garibov Eddie Bergman Frank Hutter AI4CE 24 8 0 25 Apr 2024
Evolve Cost-aware Acquisition Functions Using Large Language Models Yiming Yao Fei Liu Ji Cheng Qingfu Zhang 36 7 0 25 Apr 2024
AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models Zhiqiang Tang Haoyang Fang Su Zhou Taojiannan Yang Zihan Zhong Tony Hu Katrin Kirchhoff George Karypis 33 11 0 24 Apr 2024
Self-adaptive PSRO: Towards an Automatic Population-based Game Solver Pengdeng Li Shuxin Li Chang Yang Xinrun Wang Xiao Huang Hau Chan Bo An 23 1 0 17 Apr 2024
tsGT: Stochastic Time Series Modeling With Transformer Lukasz Kuciñski Witold Drzewakowski Mateusz Olko Piotr Kozakowski Lukasz Maziarka Marta Emilia Nowakowska Lukasz Kaiser Piotr Milo's 38 1 0 08 Mar 2024
Large Language Model-Based Evolutionary Optimizer: Reasoning with elitism Shuvayan Brahmachary Subodh M. Joshi Aniruddha Panda K. Koneripalli A. Sagotra Harshil Patel Ankush Sharma Ameya Dilip Jagtap Kaushic Kalyanaraman LRM 33 17 0 04 Mar 2024
Principled Architecture-aware Scaling of Hyperparameters Wuyang Chen Junru Wu Zhangyang Wang Boris Hanin AI4CE 30 1 0 27 Feb 2024
Reinforced In-Context Black-Box Optimization Lei Song Chenxiao Gao Ke Xue Chenyang Wu Dong Li Jianye Hao Zongzhang Zhang Chao Qian 27 3 0 27 Feb 2024
OmniPred: Language Models as Universal Regressors Xingyou Song Oscar Li Chansoo Lee Bangding Yang Daiyi Peng Sagi Perel Yutian Chen 46 14 0 22 Feb 2024
Large Language Models to Enhance Bayesian Optimization Tennison Liu Nicolás Astorga Nabeel Seedat M. Schaar 58 45 0 06 Feb 2024
Is Mamba Capable of In-Context Learning? Riccardo Grazzi Julien N. Siems Simon Schrodi Thomas Brox Frank Hutter 24 40 0 05 Feb 2024
Large Language Model Agent for Hyper-Parameter Optimization Siyi Liu Chen Gao Yong Li 37 19 0 02 Feb 2024
Green Runner: A tool for efficient deep learning component selection Jai Kannan 17 2 0 29 Jan 2024
Using Large Language Models for Hyperparameter Optimization Michael Ruogu Zhang Nishkrit Desai Juhan Bae Jonathan Lorraine Jimmy Ba 29 51 0 07 Dec 2023
Large Language Model for Multi-objective Evolutionary Optimization Fei Liu Xi Lin Zhenkun Wang Shunyu Yao Xialiang Tong Mingxuan Yuan Qingfu Zhang 19 37 0 19 Oct 2023
Transfer Learning for Bayesian Optimization on Heterogeneous Search Spaces Maria-Irina Nicolae Max Eisele Z. Wang 20 8 0 28 Sep 2023
Large Language Models as Optimizers Chengrun Yang Xuezhi Wang Yifeng Lu Hanxiao Liu Quoc V. Le Denny Zhou Xinyun Chen ODL 21 373 0 07 Sep 2023
Efficient Bayesian Optimization with Deep Kernel Learning and Transformer Pre-trained on Multiple Heterogeneous Datasets Wenlong Lyu Shoubo Hu Jie Chuai Zhitang Chen 12 2 0 09 Aug 2023
MALIBO: Meta-learning for Likelihood-free Bayesian Optimization Jia-Yu Pan Stefan Falkner Felix Berkenkamp Joaquin Vanschoren 22 1 0 07 Jul 2023
AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks Alexander Tornede Difan Deng Theresa Eimer Joseph Giovanelli Aditya Mohan ... Sarah Segel Daphne Theodorakopoulos Tanja Tornede Henning Wachsmuth Marius Lindauer 23 22 0 13 Jun 2023
PFNs4BO: In-Context Learning for Bayesian Optimization Samuel G. Müller Matthias Feurer Noah Hollmann Frank Hutter 17 34 0 27 May 2023
End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes A. Maraval Matthieu Zimmer Antoine Grosnit H. Ammar BDL 25 15 0 25 May 2023
MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks Lei Zhang Yuge Zhang Kan Ren Dongsheng Li Yuqing Yang LLMAG 17 35 0 28 Apr 2023
Discovering Attention-Based Genetic Algorithms via Meta-Black-Box Optimization R. T. Lange Tom Schaul Yutian Chen Chris Xiaoxuan Lu Tom Zahavy Valentin Dalibard Sebastian Flennerhag 14 34 0 08 Apr 2023
EvoPrompting: Language Models for Code-Level Neural Architecture Search Angelica Chen David Dohan David R. So VLM LRM 11 82 0 28 Feb 2023
Mnemosyne: Learning to Train Transformers with Transformers Deepali Jain K. Choromanski Kumar Avinava Dubey Sumeet Singh Vikas Sindhwani Tingnan Zhang Jie Tan OffRL 17 9 0 02 Feb 2023
Human-Timescale Adaptation in an Open-Ended Task Space Adaptive Agent Team Jakob Bauer Kate Baumli Satinder Baveja Feryal M. P. Behbahani ... Jakub Sygnowski K. Tuyls Sarah York Alexander Zacherl Lei Zhang LM&Ro OffRL AI4CE LRM 30 108 0 18 Jan 2023
HyperBO+: Pre-training a universal prior for Bayesian optimization with hierarchical Gaussian processes Z. Fan Xinran Han Z. Wang 19 4 0 20 Dec 2022
General-Purpose In-Context Learning by Meta-Learning Transformers Louis Kirsch James Harrison Jascha Narain Sohl-Dickstein Luke Metz 27 72 0 08 Dec 2022
In-context Reinforcement Learning with Algorithm Distillation Michael Laskin Luyu Wang Junhyuk Oh Emilio Parisotto Stephen Spencer ... Ethan A. Brooks Maxime Gazeau Himanshu Sahni Satinder Singh Volodymyr Mnih OffRL 24 120 0 25 Oct 2022
Multi-step Planning for Automated Hyperparameter Optimization with OptFormer Lucio Dery A. Friesen Nando de Freitas MarcÁurelio Ranzato Yutian Chen 25 0 0 10 Oct 2022
Pre-trained Gaussian processes for Bayesian optimization Z. Wang George E. Dahl Kevin Swersky Chansoo Lee Zachary Nado Justin Gilmer Jasper Snoek Zoubin Ghahramani 47 40 0 16 Sep 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 329 1,944 0 04 May 2020