LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso

4 November 2021

Papers citing "LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso"

7 / 7 papers shown

Title
Pushing the Limits of the Reactive Affine Shaker Algorithm to Higher Dimensions R. Battiti M. Brunato 51 0 0 18 Feb 2025
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization Jacob O. Tørring Carl Hvarfner Luigi Nardi Magnus Sjalander 41 0 0 24 Jun 2024
Falsification of Cyber-Physical Systems using Bayesian Optimization Zahra Ramezani Kenan Sehic Luigi Nardi K. Åkesson 24 1 0 14 Sep 2022
Min-Max Bilevel Multi-objective Optimization with Applications in Machine Learning Alex Gu Songtao Lu Parikshit Ram Tsui-Wei Weng 32 10 0 03 Mar 2022
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO Katharina Eggensperger Philip Muller Neeratyoy Mallik Matthias Feurer René Sass Aaron Klein Noor H. Awad Marius Lindauer Frank Hutter 30 98 0 14 Sep 2021
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges B. Bischl Martin Binder Michel Lang Tobias Pielok Jakob Richter ... Theresa Ullmann Marc Becker A. Boulesteix Difan Deng Marius Lindauer 77 443 0 13 Jul 2021
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization Benjamin Letham Roberto Calandra Akshara Rai E. Bakshy 64 108 0 31 Jan 2020