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Journal Articles
- 2018
[j1]Jacob Buckman, Graham Neubig:
Neural Lattice Language Models. Trans. Assoc. Comput. Linguistics 6: 529-541 (2018)
Conference and Workshop Papers
- 2022
- [c7]David Brandfonbrener, Alberto Bietti, Jacob Buckman, Romain Laroche, Joan Bruna:
When does return-conditioned supervised learning work for offline reinforcement learning? NeurIPS 2022 - 2021
- [c6]Jacob Buckman, Carles Gelada, Marc G. Bellemare:
The Importance of Pessimism in Fixed-Dataset Policy Optimization. ICLR 2021 - 2019
- [c5]Carles Gelada, Saurabh Kumar, Jacob Buckman, Ofir Nachum, Marc G. Bellemare:
DeepMDP: Learning Continuous Latent Space Models for Representation Learning. ICML 2019: 2170-2179 - 2018
- [c4]Jacob Buckman, Aurko Roy, Colin Raffel, Ian J. Goodfellow:
Thermometer Encoding: One Hot Way To Resist Adversarial Examples. ICLR (Poster) 2018 - [c3]Augustus Odena, Jacob Buckman, Catherine Olsson, Tom B. Brown, Christopher Olah, Colin Raffel, Ian J. Goodfellow:
Is Generator Conditioning Causally Related to GAN Performance? ICML 2018: 3846-3855 - [c2]Jacob Buckman, Danijar Hafner, George Tucker, Eugene Brevdo, Honglak Lee:
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion. NeurIPS 2018: 8234-8244 - 2016
- [c1]Jacob Buckman, Miguel Ballesteros, Chris Dyer:
Transition-Based Dependency Parsing with Heuristic Backtracking. EMNLP 2016: 2313-2318
Informal and Other Publications
- 2022
- [i8]Romain Laroche, Remi Tachet des Combes, Jacob Buckman:
Non-Markovian policies occupancy measures. CoRR abs/2205.13950 (2022) - [i7]David Brandfonbrener, Alberto Bietti, Jacob Buckman, Romain Laroche, Joan Bruna:
When does return-conditioned supervised learning work for offline reinforcement learning? CoRR abs/2206.01079 (2022) - [i6]Adam Khakhar, Jacob Buckman:
Deep Autoregressive Regression. CoRR abs/2211.07447 (2022) - 2020
- [i5]Jacob Buckman, Carles Gelada, Marc G. Bellemare:
The Importance of Pessimism in Fixed-Dataset Policy Optimization. CoRR abs/2009.06799 (2020) - 2019
- [i4]Carles Gelada, Saurabh Kumar, Jacob Buckman, Ofir Nachum, Marc G. Bellemare:
DeepMDP: Learning Continuous Latent Space Models for Representation Learning. CoRR abs/1906.02736 (2019) - 2018
- [i3]Augustus Odena, Jacob Buckman, Catherine Olsson, Tom B. Brown, Christopher Olah, Colin Raffel, Ian J. Goodfellow:
Is Generator Conditioning Causally Related to GAN Performance? CoRR abs/1802.08768 (2018) - [i2]Jacob Buckman, Graham Neubig:
Neural Lattice Language Models. CoRR abs/1803.05071 (2018) - [i1]Jacob Buckman, Danijar Hafner, George Tucker, Eugene Brevdo, Honglak Lee:
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion. CoRR abs/1807.01675 (2018)
Coauthor Index
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