Friesen, Abram L.

14 publications

ICLR 2025 BOND: Aligning LLMs with Best-of-N Distillation Pier Giuseppe Sessa, Robert Dadashi-Tazehozi, Leonard Hussenot, Johan Ferret, Nino Vieillard, Alexandre Rame, Bobak Shahriari, Sarah Perrin, Abram L. Friesen, Geoffrey Cideron, Sertan Girgin, Piotr Stanczyk, Andrea Michi, Danila Sinopalnikov, Sabela Ramos Garea, Amélie Héliou, Aliaksei Severyn, Matthew Hoffman, Nikola Momchev, Olivier Bachem

ICLRW 2023 Knowledge Transfer from Teachers to Learners in Growing-Batch Reinforcement Learning Patrick Emedom-Nnamdi, Abram L. Friesen, Bobak Shahriari, Nando de Freitas, Matthew Hoffman

AAAI 2022 Introducing Symmetries to Black Box Meta Reinforcement Learning Louis Kirsch, Sebastian Flennerhag, Hado van Hasselt, Abram L. Friesen, Junhyuk Oh, Yutian Chen

ICLRW 2022 Model-Value Inconsistency as a Signal for Epistemic Uncertainty Angelos Filos, Eszter Vértes, Zita Marinho, Gregory Farquhar, Diana L Borsa, Abram L. Friesen, Feryal Behbahani, Tom Schaul, Andre Barreto, Simon Osindero

NeurIPSW 2022 Multi-Step Planning for Automated Hyperparameter Optimization with OptFormer Lucio M. Dery, Abram L. Friesen, Nando de Freitas, MarcAurelio Ranzato, Yutian Chen

NeurIPSW 2021 Introducing Symmetries to Black Box Meta Reinforcement Learning Louis Kirsch, Sebastian Flennerhag, Hado van Hasselt, Abram L. Friesen, Junhyuk Oh, Yutian Chen

NeurIPSW 2021 Introducing Symmetries to Black Box Meta Reinforcement Learning Louis Kirsch, Sebastian Flennerhag, Hado van Hasselt, Abram L. Friesen, Junhyuk Oh, Yutian Chen

ICLR 2021 On the Role of Planning in Model-Based Deep Reinforcement Learning Jessica B Hamrick, Abram L. Friesen, Feryal Behbahani, Arthur Guez, Fabio Viola, Sims Witherspoon, Thomas Anthony, Lars Holger Buesing, Petar Veličković, Theophane Weber

NeurIPS 2020 Modular Meta-Learning with Shrinkage Yutian Chen, Abram L. Friesen, Feryal Behbahani, Arnaud Doucet, David Budden, Matthew Hoffman, Nando de Freitas

ICLR 2018 Deep Learning as a Mixed Convex-Combinatorial Optimization Problem Abram L. Friesen, Pedro Domingos

NeurIPS 2018 Submodular Field Grammars: Representation, Inference, and Application to Image Parsing Abram L. Friesen, Pedro M Domingos

IJCAI 2015 Recursive Decomposition for Nonconvex Optimization - IJCAI-15 Distinguished Paper Abram L. Friesen, Pedro M. Domingos

NeurIPS 2012 How Prior Probability Influences Decision Making: A Unifying Probabilistic Model Yanping Huang, Timothy Hanks, Mike Shadlen, Abram L. Friesen, Rajesh P. Rao

NeurIPS 2011 An Ideal Observer Model for Identifying the Reference Frame of Objects Joseph L. Austerweil, Abram L. Friesen, Thomas L. Griffiths