Hashimoto, Tatsunori B.

12 publications

NeurIPS 2023 AlpacaFarm: A Simulation Framework for Methods That Learn from Human Feedback Yann Dubois, Chen Xuechen Li, Rohan Taori, Tianyi Zhang, Ishaan Gulrajani, Jimmy Ba, Carlos Guestrin, Percy Liang, Tatsunori B Hashimoto

NeurIPS 2023 Likelihood-Based Diffusion Language Models Ishaan Gulrajani, Tatsunori B Hashimoto

NeurIPS 2023 MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment Tasks Allen Nie, Yuhui Zhang, Atharva Shailesh Amdekar, Chris Piech, Tatsunori B Hashimoto, Tobias Gerstenberg

NeurIPS 2022 Diffusion-LM Improves Controllable Text Generation Xiang Li, John Thickstun, Ishaan Gulrajani, Percy Liang, Tatsunori B Hashimoto

NeurIPS 2022 Factored DRO: Factored Distributionally Robust Policies for Contextual Bandits Tong Mu, Yash Chandak, Tatsunori B Hashimoto, Emma Brunskill

NeurIPS 2022 Improving Self-Supervised Learning by Characterizing Idealized Representations Yann Dubois, Stefano Ermon, Tatsunori B Hashimoto, Percy Liang

NeurIPS 2022 When Does Differentially Private Learning Not Suffer in High Dimensions? Xuechen Li, Daogao Liu, Tatsunori B Hashimoto, Huseyin A. Inan, Janardhan Kulkarni, Yin-Tat Lee, Abhradeep Guha Thakurta

ICLR 2020 Distributionally Robust Neural Networks Shiori Sagawa, Pang Wei Koh, Tatsunori B. Hashimoto, Percy Liang

NeurIPS 2018 A Retrieve-and-Edit Framework for Predicting Structured Outputs Tatsunori B Hashimoto, Kelvin Guu, Yonatan Oren, Percy Liang

NeurIPS 2017 Unsupervised Transformation Learning via Convex Relaxations Tatsunori B Hashimoto, Percy Liang, John C. Duchi

AISTATS 2015 Metric Recovery from Directed Unweighted Graphs Tatsunori B. Hashimoto, Yi Sun, Tommi S. Jaakkola

ICML 2011 Tree Preserving Embedding Albert Shieh, Tatsunori B. Hashimoto, Edoardo M. Airoldi