Vanilla Bayesian Optimization Performs Great in High Dimensions

3 February 2024

Papers citing "Vanilla Bayesian Optimization Performs Great in High Dimensions"

6 / 6 papers shown

Title
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
Hyperparameter Optimization for Randomized Algorithms: A Case Study on Random Features Oliver R. A. Dunbar Nicholas H. Nelsen Maya Mutic 18 5 0 30 Jun 2024
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization Jacob O. Tørring Carl Hvarfner Luigi Nardi Magnus Sjalander 43 0 0 24 Jun 2024
Are Random Decompositions all we need in High Dimensional Bayesian Optimisation? Juliusz Ziomek Haitham Bou-Ammar 32 22 0 30 Jan 2023
Local Latent Space Bayesian Optimization over Structured Inputs N. Maus Haydn Jones Juston Moore Matt J. Kusner John Bradshaw J. Gardner BDL 47 69 0 28 Jan 2022
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization Benjamin Letham Roberto Calandra Akshara Rai E. Bakshy 64 108 0 31 Jan 2020