Jacob Buckman

According to our database, Jacob Buckman authored at least 10 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Deep Autoregressive Regression.

Adam Khakhar, Jacob Buckman

CoRR, 2022

Non-Markovian policies occupancy measures.

Romain Laroche, Remi Tachet des Combes, Jacob Buckman

CoRR, 2022

When does return-conditioned supervised learning work for offline reinforcement learning?

David Brandfonbrener, Alberto Bietti, Jacob Buckman, Romain Laroche, Joan Bruna

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

The Importance of Pessimism in Fixed-Dataset Policy Optimization.

Jacob Buckman, Carles Gelada, Marc G. Bellemare

Proceedings of the 9th International Conference on Learning Representations, 2021

2019

DeepMDP: Learning Continuous Latent Space Models for Representation Learning.

Carles Gelada, Saurabh Kumar, Jacob Buckman, Ofir Nachum, Marc G. Bellemare

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Neural Lattice Language Models.

Jacob Buckman, Graham Neubig

Trans. Assoc. Comput. Linguistics, 2018

Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion.

Jacob Buckman, Danijar Hafner, George Tucker, Eugene Brevdo, Honglak Lee

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Is Generator Conditioning Causally Related to GAN Performance?

Augustus Odena, Jacob Buckman, Catherine Olsson, Tom B. Brown, Christopher Olah, Colin Raffel, Ian J. Goodfellow

Proceedings of the 35th International Conference on Machine Learning, 2018

Thermometer Encoding: One Hot Way To Resist Adversarial Examples.

Jacob Buckman, Aurko Roy, Colin Raffel, Ian J. Goodfellow

Proceedings of the 6th International Conference on Learning Representations, 2018

2016

Transition-Based Dependency Parsing with Heuristic Backtracking.

Jacob Buckman, Miguel Ballesteros, Chris Dyer

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016