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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"

30 / 30 papers shown

Title
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization Jacob O. Tørring Carl Hvarfner Luigi Nardi Magnus Sjalander 85 1 0 24 Jun 2024
Falsification of Cyber-Physical Systems using Bayesian Optimization Zahra Ramezani Kenan Sehic Luigi Nardi K. Åkesson 85 1 0 14 Sep 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 196 104 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 231 493 0 13 Jul 2021
HPO-B: A Large-Scale Reproducible Benchmark for Black-Box HPO based on OpenML Sebastian Pineda Arango H. Jomaa Martin Wistuba Josif Grabocka 64 60 0 11 Jun 2021
High-Dimensional Bayesian Optimization with Sparse Axis-Aligned Subspaces David Eriksson M. Jankowiak 71 145 0 27 Feb 2021
Good practices for Bayesian Optimization of high dimensional structured spaces E. Siivola Javier I. González Andrei Paleyes Aki Vehtari 72 37 0 31 Dec 2020
Implicit differentiation of Lasso-type models for hyperparameter optimization Quentin Bertrand Quentin Klopfenstein Mathieu Blondel Samuel Vaiter Alexandre Gramfort Joseph Salmon 83 66 0 20 Feb 2020
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization Benjamin Letham Roberto Calandra Akshara Rai E. Bakshy 93 114 0 31 Jan 2020
Scalable Global Optimization via Local Bayesian Optimization Samyam Rajbhandari Michael Pearce Jacob R. Gardner Ryan D. Turner Matthias Poloczek 86 465 0 03 Oct 2019
Meta-Surrogate Benchmarking for Hyperparameter Optimization Aaron Klein Zhenwen Dai Frank Hutter Neil D. Lawrence Javier I. González OffRL 63 36 0 30 May 2019
Safe Grid Search with Optimal Complexity Eugène Ndiaye Tam Le Olivier Fercoq Joseph Salmon Ichiro Takeuchi 130 45 0 12 Oct 2018
Practical Design Space Exploration Luigi Nardi D. Koeplinger K. Olukotun 55 86 0 11 Oct 2018
A Tutorial on Bayesian Optimization P. Frazier GP 111 1,788 0 08 Jul 2018
BOHB: Robust and Efficient Hyperparameter Optimization at Scale Stefan Falkner Aaron Klein Frank Hutter BDL 206 1,098 0 04 Jul 2018
Celer: a Fast Solver for the Lasso with Dual Extrapolation Mathurin Massias Alexandre Gramfort Joseph Salmon 74 72 0 21 Feb 2018
Accelerating Kernel Classifiers Through Borders Mapping Peter Mills 59 6 0 20 Aug 2017
Multi-fidelity Bayesian Optimisation with Continuous Approximations Kirthevasan Kandasamy Gautam Dasarathy J. Schneider Barnabás Póczós 66 221 0 18 Mar 2017
Automatic chemical design using a data-driven continuous representation of molecules Rafael Gómez-Bombarelli Jennifer N. Wei David Duvenaud José Miguel Hernández-Lobato Benjamín Sánchez-Lengeling Dennis Sheberla J. Aguilera-Iparraguirre Timothy D. Hirzel Ryan P. Adams Alán Aspuru-Guzik 3DV 171 2,932 0 07 Oct 2016
The CMA Evolution Strategy: A Tutorial N. Hansen 74 1,377 0 04 Apr 2016
COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting N. Hansen A. Auger Raymond Ros Olaf Mersmann Tea Tušar D. Brockhoff 60 426 0 29 Mar 2016
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization Lisha Li Kevin Jamieson Giulia DeSalvo Afshin Rostamizadeh Ameet Talwalkar 227 2,329 0 21 Mar 2016
Multi-Information Source Optimization Matthias Poloczek Jialei Wang P. Frazier 79 198 0 01 Mar 2016
OpenML: networked science in machine learning Joaquin Vanschoren Jan N. van Rijn B. Bischl Luís Torgo FedML AI4CE 163 1,324 0 29 Jul 2014
Active Learning of Linear Embeddings for Gaussian Processes Roman Garnett Michael A. Osborne Philipp Hennig GP 96 92 0 24 Oct 2013
A Literature Survey of Benchmark Functions For Global Optimization Problems Momin Jamil Xin-She Yang 106 1,283 0 19 Aug 2013
Bayesian Optimization in a Billion Dimensions via Random Embeddings Ziyun Wang Frank Hutter M. Zoghi David Matheson Nando de Freitas 170 443 0 09 Jan 2013
Nearly unbiased variable selection under minimax concave penalty Cun-Hui Zhang 339 3,567 0 25 Feb 2010
Enhancing Sparsity by Reweighted L1 Minimization Emmanuel J. Candes M. Wakin Stephen P. Boyd 215 5,041 0 10 Nov 2007
Pathwise coordinate optimization J. Friedman Trevor Hastie Holger Hofling Robert Tibshirani 266 2,056 0 10 Aug 2007