In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization

25 April 2024

Papers citing "In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization"

8 / 8 papers shown

Title
ABG-NAS: Adaptive Bayesian Genetic Neural Architecture Search for Graph Representation Learning Sixuan Wang Jiao Yin Jinli Cao MingJian Tang Hua Wang Yanchun Zhang GNN AI4CE 42 0 0 30 Apr 2025
Scaling Gaussian Processes for Learning Curve Prediction via Latent Kronecker Structure Jihao Andreas Lin Sebastian Ament Maximilian Balandat E. Bakshy BDL 16 2 0 11 Oct 2024
GAMformer: In-Context Learning for Generalized Additive Models Andreas Mueller Julien N. Siems Harsha Nori David Salinas Arber Zela Rich Caruana Frank Hutter AI4CE 31 3 0 06 Oct 2024
Bayes' Power for Explaining In-Context Learning Generalizations Samuel G. Müller Noah Hollmann Frank Hutter BDL 29 1 0 02 Oct 2024
Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection Matteo Zecchin Sangwoo Park Osvaldo Simeone LM&MA 67 3 0 24 Sep 2024
Cost-Sensitive Multi-Fidelity Bayesian Optimization with Transfer of Learning Curve Extrapolation Dong Bok Lee Aoxuan Silvia Zhang Byung-Hoon Kim Junhyeon Park Juho Lee Sung Ju Hwang Haebeom Lee 27 1 0 28 May 2024
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting Samuel Dooley Gurnoor Singh Khurana Chirag Mohapatra Siddartha Naidu Colin White AI4TS 79 56 0 03 Nov 2023
Pseudo-Bayesian Optimization Haoxian Chen Henry Lam 11 2 0 15 Oct 2023