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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
2662020
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
1902010
Gemma 2: Improving open language models at a practical size
G Team, M Riviere, S Pathak, PG Sessa, C Hardin, S Bhupatiraju, ...
arXiv preprint arXiv:2408.00118, 2024
1872024
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
862020
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
512022
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
462020
The sum-product theorem: A foundation for learning tractable models
AL Friesen, P Domingos
International Conference on Machine Learning, 1909-1918, 2016
402016
Recursive decomposition for nonconvex optimization
AL Friesen, P Domingos
arXiv preprint arXiv:1611.02755, 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
342012
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
332022
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
182011
Imitation learning with hierarchical actions
AL Friesen, RPN Rao
2010 IEEE 9th International conference on development and learning, 263-268, 2010
172010
Bond: Aligning llms with best-of-n distillation
PG Sessa, R Dadashi, L Hussenot, J Ferret, N Vieillard, A Ramé, ...
arXiv preprint arXiv:2407.14622, 2024
132024
Gemma 2: Improving open language models at a practical size, 2024
G Team, M Riviere, S Pathak, PG Sessa, C Hardin, S Bhupatiraju, ...
URL https://arxiv. org/abs/2408.00118 1 (2), 3, 2024
132024
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
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
72022
Charline Le Lan
G Team, M Riviere, S Pathak, PG Sessa, C Hardin, S Bhupatiraju, ...
Sammy Jerome, Anton Tsitsulin, Nino Vieillard, Piotr Stanczyk, Sertan Girgin …, 2024
62024
Submodular field grammars: representation, inference, and application to image parsing
AL Friesen, PM Domingos
Advances in Neural Information Processing Systems 31, 2018
52018
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Articles 1–20