JUMBO: Scalable Multi-task Bayesian Optimization using Offline Data

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JUMBO: Scalable Multi-task Bayesian Optimization using Offline Data

2 June 2021

Kourosh Hakhamaneshi

Pieter Abbeel

Vladimir M. Stojanović

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Papers citing "JUMBO: Scalable Multi-task Bayesian Optimization using Offline Data"

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Title
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 547 42,639 0 03 Dec 2019
Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning Valerio Perrone Huibin Shen Matthias Seeger Cédric Archambeau Rodolphe Jenatton 68 97 0 27 Sep 2019
Tabular Benchmarks for Joint Architecture and Hyperparameter Optimization Aaron Klein Frank Hutter 43 93 0 13 May 2019
Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization Michael Volpp Lukas P. Frohlich Kirsten Fischer Andreas Doerr Stefan Falkner Frank Hutter Christian Daniel 92 85 0 04 Apr 2019
A Tutorial on Bayesian Optimization P. Frazier GP 113 1,797 0 08 Jul 2018
Dealing with Integer-valued Variables in Bayesian Optimization with Gaussian Processes E.C. Garrido-Merchán Daniel Hernández-Lobato 114 232 0 12 Jun 2017
Warm Starting Bayesian Optimization Matthias Poloczek Jialei Wang P. Frazier 96 61 0 11 Aug 2016
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets Aaron Klein Stefan Falkner Simon Bartels Philipp Hennig Frank Hutter AI4CE 76 552 0 23 May 2016
The CMA Evolution Strategy: A Tutorial N. Hansen 74 1,378 0 04 Apr 2016
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization Lisha Li Kevin Jamieson Giulia DeSalvo Afshin Rostamizadeh Ameet Talwalkar 232 2,336 0 21 Mar 2016
Multi-fidelity Gaussian Process Bandit Optimisation Kirthevasan Kandasamy Gautam Dasarathy Junier B. Oliva J. Schneider Barnabás Póczós 75 77 0 20 Mar 2016
Scalable Bayesian Optimization Using Deep Neural Networks Jasper Snoek Oren Rippel Kevin Swersky Ryan Kiros N. Satish N. Sundaram Md. Mostofa Ali Patwary P. Prabhat Ryan P. Adams BDL UQCV 95 1,045 0 19 Feb 2015
Manifold Gaussian Processes for Regression Roberto Calandra Jan Peters C. Rasmussen M. Deisenroth 170 274 0 24 Feb 2014