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Transferring knowledge across tasks to improve data-efficiency is one of the open key challenges in the field of global black-box optimization.
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Evolutionary Principles in Self-Referential Learning. On Learning how to Learn: The Meta-Meta-Meta…-Hook
Jürgen Schmidhuber · 1987
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Swing-up Control of Inverted Pendulum Using Pseudo-State Feedback
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Richard S. Sutton and Andrew G. Barto · 1998
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Sebastian Thrun and Lorien Pratt · 1998
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Thomas Philip Runarsson and Magnus Thor Jonsson · 2000
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Sepp Hochreiter, Steven A. Younger, and Peter R. Conwell · 2001
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Carl Edward Rasmussen and Christopher K. I. Williams · 2005
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Eric Brochu, Vlad M. Cora, and Nando de Freitas · 2010
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Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design
Niranjan Srinivas, Andreas Krause, Sham Kakade, and Matthias W. Seeger · 2010
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GPy: A Gaussian Process Framework in Python, 2012
GPy · 2012
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Practical Bayesian Optimization of Machine Learning Algorithms
Jasper Snoek, Hugo Larochelle, and Ryan P. Adams · 2012
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Collaborative Hyperparameter Tuning
Rémi Bardenet, Mátyás Brendel, Balázs Kégl, and Michèle Sebag · 2013
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Victor Picheny, Tobias Wagner, and David Ginsbourger · 2013
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Multi-Task Bayesian Optimization
Kevin Swersky, Jasper Snoek, and Ryan P. Adams · 2013
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Efficient Transfer Learning Method for Automatic Hyperparameter Tuning
Dani Yogatama and Gideon Mann · 2014
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High-Dimensional Continuous Control Using Generalized Advantage Estimation
John Schulman, Philipp Moritz, Sergey Levine, Michael I. Jordan, and Pieter Abbeel · 2015
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Learning to Learn by Gradient Descent by Gradient Descent
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Learning to Learn without Gradient Descent by Gradient Descent
Yutian Chen, Matthew W. Hoffman, Sergio Gómez Colmenarejo, Misha Denil, Timothy P. Lillicrap, Matt Botvinick, and Nando de Freitas · 2017
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Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn, Pieter Abbeel, and Sergey Levine · 2017
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Google Vizier: A Service for Black-Box Optimization
Daniel Golovin, Benjamin Solnik, Subhodeep Moitra, Greg Kochanski, John Karro, and D. Sculley · 2017
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Learning to Optimize Neural Nets
Ke Li and Jitendra Malik · 2017
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Proximal Policy Optimization Algorithms
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov · 2017
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Building Machines That Learn and Think Like People
Brenden M. Lake, Tomer D. Ullman, Joshua B. Tenenbaum, and Samuel J. Gershman · 2016
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Ke Li and Jitendra Malik · 2016
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Scalable Hyperparameter Optimization with Products of Gaussian Process Experts
Nicolas Schilling, Martin Wistuba, and Lars Schmidt-Thieme · 2016
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Taking the Human Out of the Loop: A Review of Bayesian Optimization
Bobak Shahriari, Kevin Swersky, Ziyu Wang, Ryan P. Adams, and Nando de Freitas · 2016
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Bayesian Optimization with Robust Bayesian Neural Networks
Jost Tobias Springenberg, Aaron Klein, Stefan Falkner, and Frank Hutter · 2016
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Regret Bounds for Transfer Learning in Bayesian Optimisation
Alistair Shilton, Sunil Gupta, Santu Rana, and Svetha Venkatesh · 2017
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Scalable Meta-Learning for Bayesian Optimization
Matthias Feurer, Benjamin Letham, and Eytan Bakshy · 2018
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Marta Garnelo, Jonathan Schwarz, Dan Rosenbaum, Fabio Viola, Danilo J. Rezende, S. M. Ali Eslami, and Yee Whye Teh · 2018
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On First-Order Meta-Learning Algorithms
Alex Nichol, Joshua Achiam, and John Schulman · 2018
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Scalable Hyperparameter Transfer Learning
Valerio Perrone, Rodolphe Jenatton, Matthias W Seeger, and Cedric Archambeau · 2018
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A Simple Transfer-learning Extension of Hyperband
Lazar Valkov, Rodolphe Jenatton, Fela Winkelmolen, and Cédric Archambeau · 2018
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Scalable Gaussian Process-based Transfer Surrogates for Hyperparameter Optimization
Martin Wistuba, Nicolas Schilling, and Lars Schmidt-Thieme · 2018
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Transferring Knowledge across Learning Processes
Sebastian Flennerhag, Pablo Garcia Moreno, Neil Lawrence, and Andreas Damianou · 2019
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Learning Unsupervised Learning Rules
Luke Metz, Niru Maheswaranathan, Brian Cheung, and Jascha Sohl-Dickstein · 2019
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Bayesian Optimization for Policy Search in High-Dimensional Systems via Automatic Domain Selection
Lukas P. Fröhlich, Edgar D. Klenske, Christian G. Daniel, and Melanie N. Zeilinger · 2020
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