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Abram L. Friesen

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Knowledge Transfer from Teachers to Learners in Growing-Batch Reinforcement Learning

May 09, 2023
Patrick Emedom-Nnamdi, Abram L. Friesen, Bobak Shahriari, Nando de Freitas, Matt W. Hoffman

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Multi-step Planning for Automated Hyperparameter Optimization with OptFormer

Oct 10, 2022
Lucio M. Dery, Abram L. Friesen, Nando De Freitas, Marc'Aurelio Ranzato, Yutian Chen

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Retrieval-Augmented Reinforcement Learning

Mar 09, 2022
Anirudh Goyal, Abram L. Friesen, Andrea Banino, Theophane Weber, Nan Rosemary Ke, Adria Puigdomenech Badia, Arthur Guez, Mehdi Mirza, Peter C. Humphreys, Ksenia Konyushkova, Michal Valko, Simon Osindero, Timothy Lillicrap, Nicolas Heess, Charles Blundell

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On the role of planning in model-based deep reinforcement learning

Nov 08, 2020
Jessica B. Hamrick, Abram L. Friesen, Feryal Behbahani, Arthur Guez, Fabio Viola, Sims Witherspoon, Thomas Anthony, Lars Buesing, Petar Veličković, Théophane Weber

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Modular Meta-Learning with Shrinkage

Sep 12, 2019
Yutian Chen, Abram L. Friesen, Feryal Behbahani, David Budden, Matthew W. Hoffman, Arnaud Doucet, Nando de Freitas

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Deep Learning as a Mixed Convex-Combinatorial Optimization Problem

Apr 16, 2018
Abram L. Friesen, Pedro Domingos

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The Sum-Product Theorem: A Foundation for Learning Tractable Models

Nov 11, 2016
Abram L. Friesen, Pedro Domingos

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Recursive Decomposition for Nonconvex Optimization

Nov 08, 2016
Abram L. Friesen, Pedro Domingos

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