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Abram (Abe) Friesen
Abram (Abe) Friesen
Senior Research Scientist, DeepMind
Verified email at cs.washington.edu - Homepage
Title
Cited by
Cited by
Year
Acme: A research framework for distributed reinforcement learning
MW Hoffman, B Shahriari, J Aslanides, G Barth-Maron, N Momchev, ...
arXiv preprint arXiv:2006.00979, 2020
2382020
Estimating the progress of MapReduce pipelines
K Morton, AL Friesen, M Balazinska, D Grossman
Data Engineering (ICDE), 2010 IEEE 26th International Conference on, 681-684, 2010
1892010
On the role of planning in model-based deep reinforcement learning
JB Hamrick, AL Friesen, F Behbahani, A Guez, F Viola, S Witherspoon, ...
arXiv preprint arXiv:2011.04021, 2020
742020
Modular meta-learning with shrinkage
Y Chen, AL Friesen, F Behbahani, A Doucet, D Budden, M Hoffman, ...
Advances in Neural Information Processing Systems 33, 2858-2869, 2020
442020
Retrieval-augmented reinforcement learning
A Goyal, A Friesen, A Banino, T Weber, NR Ke, AP Badia, A Guez, ...
International Conference on Machine Learning, 7740-7765, 2022
422022
Recursive decomposition for nonconvex optimization
AL Friesen, P Domingos
arXiv preprint arXiv:1611.02755, 2016
382016
The sum-product theorem: A foundation for learning tractable models
AL Friesen, P Domingos
International Conference on Machine Learning, 1909-1918, 2016
382016
How prior probability influences decision making: A unifying probabilistic model
Y Huang, AL Friesen, T Hanks, M Shadlen, RP Rao
Advances in neural information processing systems, 1268-1276, 2012
332012
Introducing symmetries to black box meta reinforcement learning
L Kirsch, S Flennerhag, H Van Hasselt, A Friesen, J Oh, Y Chen
Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7202-7210, 2022
322022
Deep learning as a mixed convex-combinatorial optimization problem
AL Friesen, P Domingos
arXiv preprint arXiv:1710.11573, 2017
272017
A Bayesian developmental approach to robotic goal-based imitation learning
MJY Chung, AL Friesen, D Fox, AN Meltzoff, RPN Rao
PloS one 10 (11), e0141965, 2015
222015
Gaze following as goal inference: A Bayesian model
AL Friesen, RPN Rao
Proceedings of the Annual Meeting of the Cognitive Science Society 33 (33), 2011
172011
Imitation learning with hierarchical actions
AL Friesen, RPN Rao
2010 IEEE 9th International conference on development and learning, 263-268, 2010
172010
Model-value inconsistency as a signal for epistemic uncertainty
A Filos, E Vértes, Z Marinho, G Farquhar, D Borsa, A Friesen, ...
arXiv preprint arXiv:2112.04153, 2021
102021
Submodular field grammars: representation, inference, and application to image parsing
AL Friesen, PM Domingos
Advances in Neural Information Processing Systems 31, 2018
52018
Unifying sum-product networks and submodular fields
AL Friesen, P Domingos
Proceedings of the Workshop on Principled Approaches to Deep Learning at …, 2017
52017
Revisiting Gaussian mixture critics in off-policy reinforcement learning: a sample-based approach
B Shahriari, A Abdolmaleki, A Byravan, A Friesen, S Liu, JT Springenberg, ...
arXiv preprint arXiv:2204.10256, 2022
42022
An ideal observer model for identifying the reference frame of objects
J Austerweil, AL Friesen, T Griffiths
Advances in neural information processing systems 24, 2011
32011
Multi-step Planning for Automated Hyperparameter Optimization with OptFormer
LM Dery, AL Friesen, N De Freitas, MA Ranzato, Y Chen
arXiv preprint arXiv:2210.04971, 2022
22022
Nonconvex optimization is combinatorial optimization
AL Friesen, P Domingos
12013
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