Transition-Based Dependency Parsing with Heuristic Backtracking. - Jacob Buckman; Miguel Ballesteros; Chris Dyer (EMNLP, 2016)

Thermometer Encoding: One Hot Way To Resist Adversarial Examples. - Jacob Buckman; Aurko Roy; Colin Raffel; Ian J. Goodfellow (ICLR (Poster), 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 (ICML, 2018)

Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion. - Jacob Buckman; Danijar Hafner; George Tucker; Eugene Brevdo; Honglak Lee (NeurIPS, 2018)

Neural Lattice Language Models. - Jacob Buckman; Graham Neubig (Trans. Assoc. Comput. Linguistics, 2018)

DeepMDP: Learning Continuous Latent Space Models for Representation Learning. - Carles Gelada; Saurabh Kumar 004; Jacob Buckman; Ofir Nachum; Marc G. Bellemare (ICML, 2019)

The Importance of Pessimism in Fixed-Dataset Policy Optimization. - Jacob Buckman; Carles Gelada; Marc G. Bellemare (ICLR, 2021)

When does return-conditioned supervised learning work for offline reinforcement learning? - David Brandfonbrener; Alberto Bietti; Jacob Buckman; Romain Laroche; Joan Bruna (NeurIPS, 2022)

Non-Markovian policies occupancy measures. - Romain Laroche; Remi Tachet des Combes; Jacob Buckman (CoRR, 2022)

Deep Autoregressive Regression. - Adam Khakhar; Jacob Buckman (CoRR, 2022)

Conformal Transformations for Symmetric Power Transformers. - Saurabh Kumar 004; Jacob Buckman; Carles Gelada; Sean Zhang (CoRR, 2025)

Scaling Context Requires Rethinking Attention. - Carles Gelada; Jacob Buckman; Sean Zhang; Txus Bach (CoRR, 2025)