PFNs4BO: In-Context Learning for Bayesian Optimization

27 May 2023

Papers citing "PFNs4BO: In-Context Learning for Bayesian 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 53 0 0 30 Apr 2025
EquiTabPFN: A Target-Permutation Equivariant Prior Fitted Networks Michael Arbel David Salinas Frank Hutter 73 2 0 10 Feb 2025
Amortized Bayesian Experimental Design for Decision-Making Daolang Huang Yujia Guo Luigi Acerbi Samuel Kaski 44 2 0 03 Jan 2025
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference Paul E. Chang Nasrulloh Loka Daolang Huang Ulpu Remes Samuel Kaski Luigi Acerbi AI4CE 51 4 0 20 Oct 2024
In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization Herilalaina Rakotoarison Steven Adriaensen Neeratyoy Mallik Samir Garibov Eddie Bergman Frank Hutter AI4CE 40 9 0 25 Apr 2024
Data-driven Prior Learning for Bayesian Optimisation Sigrid Passano Hellan Christopher G. Lucas Nigel H. Goddard 26 0 0 24 Nov 2023
Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks Steven Adriaensen Herilalaina Rakotoarison Samuel G. Müller Frank Hutter BDL 31 19 0 31 Oct 2023
Manifold Gaussian Processes for Regression Roberto Calandra Jan Peters C. Rasmussen M. Deisenroth 89 271 0 24 Feb 2014