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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
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
3532024
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
2722020
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
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
902020
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
542022
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
482020
The sum-product theorem: A foundation for learning tractable models
AL Friesen, P Domingos
International Conference on Machine Learning, 1909-1918, 2016
412016
Recursive decomposition for nonconvex optimization
AL Friesen, P Domingos
arXiv preprint arXiv:1611.02755, 2016
382016
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
362022
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 (3), 2024
352024
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
352012
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
232015
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
202024
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
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
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
92024
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
Unifying sum-product networks and submodular fields
AL Friesen, P Domingos
Proceedings of the Workshop on Principled Approaches to Deep Learning at …, 2017
62017
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Articles 1–20