Tatsunori B. Hashimoto

According to our database, Tatsunori B. Hashimoto authored at least 104 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

A Survey on Data Selection for Language Models.

Alon Albalak, Yanai Elazar, Sang Michael Xie, Shayne Longpre, Nathan Lambert, Xinyi Wang, Niklas Muennighoff, Bairu Hou, Liangming Pan, Haewon Jeong, Colin Raffel, Shiyu Chang, Tatsunori Hashimoto, William Yang Wang

CoRR, 2024

Language Models with Conformal Factuality Guarantees.

Christopher Mohri, Tatsunori Hashimoto

CoRR, 2024

Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution.

Ian Covert, Chanwoo Kim, Su-In Lee, James Zou, Tatsunori Hashimoto

CoRR, 2024

2023

Distributionally Robust Losses for Latent Covariate Mixtures.

John C. Duchi, Tatsunori Hashimoto, Hongseok Namkoong

Oper. Res., March, 2023

Accelerating Aggregation Queries on Unstructured Streams of Data.

Matthew Russo, Tatsunori Hashimoto, Daniel Kang, Yi Sun, Matei Zaharia

Proc. VLDB Endow., 2023

Identifying and Mitigating the Security Risks of Generative AI.

Clark W. Barrett, Brad Boyd, Elie Bursztein, Nicholas Carlini, Brad Chen, Jihye Choi, Amrita Roy Chowdhury, Mihai Christodorescu, Anupam Datta, Soheil Feizi, Kathleen Fisher, Tatsunori Hashimoto, Dan Hendrycks, Somesh Jha, Daniel Kang, Florian Kerschbaum, Eric Mitchell, John C. Mitchell, Zulfikar Ramzan, Khawaja Shams, Dawn Song, Ankur Taly, Diyi Yang

Found. Trends Priv. Secur., 2023

On the Learnability of Watermarks for Language Models.

Chenchen Gu, Xiang Lisa Li, Percy Liang, Tatsunori Hashimoto

CoRR, 2023

Benchmarking Multi-Domain Active Learning on Image Classification.

Jiayi Li, Rohan Taori, Tatsunori B. Hashimoto

CoRR, 2023

Removing RLHF Protections in GPT-4 via Fine-Tuning.

Qiusi Zhan, Richard Fang, Rohan Bindu, Akul Gupta, Tatsunori Hashimoto, Daniel Kang

CoRR, 2023

On the Fairness ROAD: Robust Optimization for Adversarial Debiasing.

Vincent Grari, Thibault Laugel, Tatsunori Hashimoto, Sylvain Lamprier, Marcin Detyniecki

CoRR, 2023

Proving Test Set Contamination in Black Box Language Models.

Yonatan Oren, Nicole Meister, Niladri S. Chatterji, Faisal Ladhak, Tatsunori B. Hashimoto

CoRR, 2023

Learning to (Learn at Test Time).

Yu Sun, Xinhao Li, Karan Dalal, Chloe Hsu, Sanmi Koyejo, Carlos Guestrin, Xiaolong Wang, Tatsunori Hashimoto, Xinlei Chen

CoRR, 2023

Benchmarking and Improving Generator-Validator Consistency of Language Models.

Xiang Lisa Li, Vaishnavi Shrivastava, Siyan Li, Tatsunori Hashimoto, Percy Liang

CoRR, 2023

Identifying the Risks of LM Agents with an LM-Emulated Sandbox.

Yangjun Ruan, Honghua Dong, Andrew Wang, Silviu Pitis, Yongchao Zhou, Jimmy Ba, Yann Dubois, Chris J. Maddison, Tatsunori Hashimoto

CoRR, 2023

Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions.

Federico Bianchi, Mirac Suzgun, Giuseppe Attanasio, Paul Röttger, Dan Jurafsky, Tatsunori Hashimoto, James Zou

CoRR, 2023

Identifying and Mitigating the Security Risks of Generative AI.

Clark W. Barrett, Brad Boyd, Ellie Burzstein, Nicholas Carlini, Brad Chen, Jihye Choi, Amrita Roy Chowdhury, Mihai Christodorescu, Anupam Datta, Soheil Feizi, Kathleen Fisher, Tatsunori Hashimoto, Dan Hendrycks, Somesh Jha, Daniel Kang, Florian Kerschbaum, Eric Mitchell, John C. Mitchell, Zulfikar Ramzan, Khawaja Shams, Dawn Song, Ankur Taly, Diyi Yang

CoRR, 2023

Where's the Liability in Harmful AI Speech?

Peter Henderson, Tatsunori Hashimoto, Mark A. Lemley

CoRR, 2023

Robust Distortion-free Watermarks for Language Models.

Rohith Kuditipudi, John Thickstun, Tatsunori Hashimoto, Percy Liang

CoRR, 2023

One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention.

Arvind Mahankali, Tatsunori B. Hashimoto, Tengyu Ma

CoRR, 2023

AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback.

Yann Dubois, Xuechen Li, Rohan Taori, Tianyi Zhang, Ishaan Gulrajani, Jimmy Ba, Carlos Guestrin, Percy Liang, Tatsunori B. Hashimoto

CoRR, 2023

Foundation Models and Fair Use.

Peter Henderson, Xuechen Li, Dan Jurafsky, Tatsunori Hashimoto, Mark A. Lemley, Percy Liang

CoRR, 2023

Navigating the Grey Area: Expressions of Overconfidence and Uncertainty in Language Models.

Kaitlyn Zhou, Dan Jurafsky, Tatsunori Hashimoto

CoRR, 2023

Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks.

Daniel Kang, Xuechen Li, Ion Stoica, Carlos Guestrin, Matei Zaharia, Tatsunori Hashimoto

CoRR, 2023

Benchmarking Large Language Models for News Summarization.

Tianyi Zhang, Faisal Ladhak, Esin Durmus, Percy Liang, Kathleen R. McKeown, Tatsunori B. Hashimoto

CoRR, 2023

MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment Tasks.

Allen Nie, Yuhui Zhang, Atharva Amdekar, Chris Piech, Tatsunori B. Hashimoto, Tobias Gerstenberg

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Likelihood-Based Diffusion Language Models.

Ishaan Gulrajani, Tatsunori B. Hashimoto

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Congestion Control Safety via Comparative Statics.

Pratiksha Thaker, Matei Zaharia, Tatsunori Hashimoto

Proceedings of the IEEE INFOCOM 2023, 2023

Coder Reviewer Reranking for Code Generation.

Tianyi Zhang, Tao Yu, Tatsunori Hashimoto, Mike Lewis, Wen-Tau Yih, Daniel Fried, Sida Wang

Proceedings of the International Conference on Machine Learning, 2023

Data Feedback Loops: Model-driven Amplification of Dataset Biases.

Rohan Taori, Tatsunori Hashimoto

Proceedings of the International Conference on Machine Learning, 2023

Whose Opinions Do Language Models Reflect?

Shibani Santurkar, Esin Durmus, Faisal Ladhak, Cinoo Lee, Percy Liang, Tatsunori Hashimoto

Proceedings of the International Conference on Machine Learning, 2023

Out-of-Domain Robustness via Targeted Augmentations.

Irena Gao, Shiori Sagawa, Pang Wei Koh, Tatsunori Hashimoto, Percy Liang

Proceedings of the International Conference on Machine Learning, 2023

Evaluating Self-Supervised Learning via Risk Decomposition.

Yann Dubois, Tatsunori Hashimoto, Percy Liang

Proceedings of the International Conference on Machine Learning, 2023

Is a Caption Worth a Thousand Images? A Study on Representation Learning.

Shibani Santurkar, Yann Dubois, Rohan Taori, Percy Liang, Tatsunori Hashimoto

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale.

Federico Bianchi, Pratyusha Kalluri, Esin Durmus, Faisal Ladhak, Myra Cheng, Debora Nozza, Tatsunori Hashimoto, Dan Jurafsky, James Zou, Aylin Caliskan

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Navigating the Grey Area: How Expressions of Uncertainty and Overconfidence Affect Language Models.

Kaitlyn Zhou, Dan Jurafsky, Tatsunori Hashimoto

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

When Do Pre-Training Biases Propagate to Downstream Tasks? A Case Study in Text Summarization.

Faisal Ladhak, Esin Durmus, Mirac Suzgun, Tianyi Zhang, Dan Jurafsky, Kathleen R. McKeown, Tatsunori Hashimoto

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

TempLM: Distilling Language Models into Template-Based Generators.

Tianyi Zhang, Mina Lee, Xiang Lisa Li, Ende Shen, Tatsunori Hashimoto

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Privacy-Preserving Domain Adaptation of Semantic Parsers.

Fatemehsadat Mireshghallah, Yu Su, Tatsunori Hashimoto, Jason Eisner, Richard Shin

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Contrastive Decoding: Open-ended Text Generation as Optimization.

Xiang Lisa Li, Ari Holtzman, Daniel Fried, Percy Liang, Jason Eisner, Tatsunori Hashimoto, Luke Zettlemoyer, Mike Lewis

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Contrastive Error Attribution for Finetuned Language Models.

Faisal Ladhak, Esin Durmus, Tatsunori Hashimoto

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Emergent Abilities of Large Language Models.

Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, Ed H. Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, William Fedus

Trans. Mach. Learn. Res., 2022

Tracing and Removing Data Errors in Natural Language Generation Datasets.

Faisal Ladhak, Esin Durmus, Tatsunori Hashimoto

CoRR, 2022

Holistic Evaluation of Language Models.

Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D. Manning, Christopher Ré, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel J. Orr, Lucia Zheng, Mert Yüksekgönül, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda

CoRR, 2022

ZK-IMG: Attested Images via Zero-Knowledge Proofs to Fight Disinformation.

Daniel Kang, Tatsunori Hashimoto, Ion Stoica, Yi Sun

CoRR, 2022

Scaling up Trustless DNN Inference with Zero-Knowledge Proofs.

Daniel Kang, Tatsunori Hashimoto, Ion Stoica, Yi Sun

CoRR, 2022

A Closer Look at the Calibration of Differentially Private Learners.

Hanlin Zhang, Xuechen Li, Prithviraj Sen, Salim Roukos, Tatsunori Hashimoto

CoRR, 2022

Is a Caption Worth a Thousand Images? A Controlled Study for Representation Learning.

Shibani Santurkar, Yann Dubois, Rohan Taori, Percy Liang, Tatsunori Hashimoto

CoRR, 2022

Diffusion-LM Improves Controllable Text Generation.

Xiang Lisa Li, John Thickstun, Ishaan Gulrajani, Percy Liang, Tatsunori B. Hashimoto

CoRR, 2022

Undersampling is a Minimax Optimal Robustness Intervention in Nonparametric Classification.

Niladri S. Chatterji, Saminul Haque, Tatsunori Hashimoto

CoRR, 2022

TempLM: Distilling Language Models into Template-Based Generators.

Tianyi Zhang, Mina Lee, Lisa Li, Ende Shen, Tatsunori B. Hashimoto

CoRR, 2022

TASTI: Semantic Indexes for Machine Learning-based Queries over Unstructured Data.

Daniel Kang, John Guibas, Peter D. Bailis, Tatsunori Hashimoto, Matei Zaharia

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Factored DRO: Factored Distributionally Robust Policies for Contextual Bandits.

Tong Mu, Yash Chandak, Tatsunori B. Hashimoto, Emma Brunskill

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

Diffusion-LM Improves Controllable Text Generation.

Xiang Li, John Thickstun, Ishaan Gulrajani, Percy Liang, Tatsunori B. Hashimoto

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

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

Improving Self-Supervised Learning by Characterizing Idealized Representations.

Yann Dubois, Stefano Ermon, Tatsunori B. Hashimoto, Percy Liang

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

Identifiability Conditions for Domain Adaptation.

Ishaan Gulrajani, Tatsunori Hashimoto

Proceedings of the International Conference on Machine Learning, 2022

Language modeling via stochastic processes.

Rose E. Wang, Esin Durmus, Noah D. Goodman, Tatsunori Hashimoto

Proceedings of the Tenth International Conference on Learning Representations, 2022

Is Importance Weighting Incompatible with Interpolating Classifiers?

Ke Alexander Wang, Niladri Shekhar Chatterji, Saminul Haque, Tatsunori Hashimoto

Proceedings of the Tenth International Conference on Learning Representations, 2022

Extending the WILDS Benchmark for Unsupervised Adaptation.

Shiori Sagawa, Pang Wei Koh, Tony Lee, Irena Gao, Sang Michael Xie, Kendrick Shen, Ananya Kumar, Weihua Hu, Michihiro Yasunaga, Henrik Marklund, Sara Beery, Etienne David, Ian Stavness, Wei Guo, Jure Leskovec, Kate Saenko, Tatsunori Hashimoto, Sergey Levine, Chelsea Finn, Percy Liang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Distributionally Robust Models with Parametric Likelihood Ratios.

Paul Michel, Tatsunori Hashimoto, Graham Neubig

Proceedings of the Tenth International Conference on Learning Representations, 2022

Large Language Models Can Be Strong Differentially Private Learners.

Xuechen Li, Florian Tramèr, Percy Liang, Tatsunori Hashimoto

Proceedings of the Tenth International Conference on Learning Representations, 2022

Jury Learning: Integrating Dissenting Voices into Machine Learning Models.

Mitchell L. Gordon, Michelle S. Lam, Joon Sung Park, Kayur Patel, Jeffrey T. Hancock, Tatsunori Hashimoto, Michael S. Bernstein

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Spurious Correlations in Reference-Free Evaluation of Text Generation.

Esin Durmus, Faisal Ladhak, Tatsunori Hashimoto

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Accelerating Approximate Aggregation Queries with Expensive Predicates.

Daniel Kang, John Guibas, Peter Bailis, Tatsunori Hashimoto, Yi Sun, Matei Zaharia

Proc. VLDB Endow., 2021

On the Opportunities and Risks of Foundation Models.

Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ B. Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie S. Chen, Kathleen Creel, Jared Quincy Davis, Dorottya Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah D. Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark S. Krass, Ranjay Krishna, Rohith Kuditipudi, et al.

CoRR, 2021

Proof: Accelerating Approximate Aggregation Queries with Expensive Predicates.

Daniel Kang, John Guibas, Peter Bailis, Tatsunori Hashimoto, Yi Sun, Matei Zaharia

CoRR, 2021

The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics.

Sebastian Gehrmann, Tosin P. Adewumi, Karmanya Aggarwal, Pawan Sasanka Ammanamanchi, Aremu Anuoluwapo, Antoine Bosselut, Khyathi Raghavi Chandu, Miruna-Adriana Clinciu, Dipanjan Das, Kaustubh D. Dhole, Wanyu Du, Esin Durmus, Ondrej Dusek, Chris Emezue, Varun Gangal, Cristina Garbacea, Tatsunori Hashimoto, Yufang Hou, Yacine Jernite, Harsh Jhamtani, Yangfeng Ji, Shailza Jolly, Dhruv Kumar, Faisal Ladhak, Aman Madaan, Mounica Maddela, Khyati Mahajan, Saad Mahamood, Bodhisattwa Prasad Majumder, Pedro Henrique Martins, Angelina McMillan-Major, Simon Mille, Emiel van Miltenburg, Moin Nadeem, Shashi Narayan, Vitaly Nikolaev, Rubungo Andre Niyongabo, Salomey Osei, Ankur P. Parikh, Laura Perez-Beltrachini, Niranjan Ramesh Rao, Vikas Raunak, Juan Diego Rodriguez, Sashank Santhanam, João Sedoc, Thibault Sellam, Samira Shaikh, Anastasia Shimorina, Marco Antonio Sobrevilla Cabezudo, Hendrik Strobelt, Nishant Subramani, Wei Xu, Diyi Yang, Akhila Yerukola, Jiawei Zhou

CoRR, 2021

On the Inductive Bias of Masked Language Modeling: From Statistical to Syntactic Dependencies.

Tianyi Zhang, Tatsunori Hashimoto

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

DReCa: A General Task Augmentation Strategy for Few-Shot Natural Language Inference.

Shikhar Murty, Tatsunori Hashimoto, Christopher D. Manning

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Model Performance Scaling with Multiple Data Sources.

Tatsunori Hashimoto

Proceedings of the 38th International Conference on Machine Learning, 2021

Modeling the Second Player in Distributionally Robust Optimization.

Paul Michel, Tatsunori Hashimoto, Graham Neubig

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

Don't Hate the Player, Hate the Game: Safety and Utility in Multi-Agent Congestion Control.

Pratiksha Thaker, Matei Zaharia, Tatsunori Hashimoto

Proceedings of the HotNets '21: The 20th ACM Workshop on Hot Topics in Networks, 2021

The Disagreement Deconvolution: Bringing Machine Learning Performance Metrics In Line With Reality.

Mitchell L. Gordon, Kaitlyn Zhou, Kayur Patel, Tatsunori Hashimoto, Michael S. Bernstein

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions.

Dorottya Demszky, Jing Liu, Zid Mancenido, Julie Cohen, Heather Hill, Dan Jurafsky, Tatsunori Hashimoto

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Approximate Selection with Guarantees using Proxies.

Daniel Kang, Edward Gan, Peter Bailis, Tatsunori Hashimoto, Matei Zaharia

Proc. VLDB Endow., 2020

Task-agnostic Indexes for Deep Learning-based Queries over Unstructured Data.

Daniel Kang, John Guibas, Peter Bailis, Tatsunori Hashimoto, Matei Zaharia

CoRR, 2020

Robustness to Spurious Correlations via Human Annotations.

Megha Srivastava, Tatsunori B. Hashimoto, Percy Liang

Proceedings of the 37th International Conference on Machine Learning, 2020

Distributionally Robust Neural Networks.

Shiori Sagawa, Pang Wei Koh, Tatsunori B. Hashimoto, Percy Liang

Proceedings of the 8th International Conference on Learning Representations, 2020

Improved Natural Language Generation via Loss Truncation.

Daniel Kang, Tatsunori Hashimoto

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization.

Shiori Sagawa, Pang Wei Koh, Tatsunori B. Hashimoto, Percy Liang

CoRR, 2019

Learning Autocomplete Systems as a Communication Game.

Mina Lee, Tatsunori B. Hashimoto, Percy Liang

CoRR, 2019

Unifying Human and Statistical Evaluation for Natural Language Generation.

Tatsunori B. Hashimoto, Hugh Zhang, Percy Liang

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Distributionally Robust Language Modeling.

Yonatan Oren, Shiori Sagawa, Tatsunori B. Hashimoto, Percy Liang

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Inferring Multidimensional Rates of Aging from Cross-Sectional Data.

Emma Pierson, Pang Wei Koh, Tatsunori B. Hashimoto, Daphne Koller, Jure Leskovec, Nick Eriksson, Percy Liang

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Generating Sentences by Editing Prototypes.

Kelvin Guu, Tatsunori B. Hashimoto, Yonatan Oren, Percy Liang

Trans. Assoc. Comput. Linguistics, 2018

Inferring Multi-Dimensional Rates of Aging from Cross-Sectional Data.

Emma Pierson, Pang Wei Koh, Tatsunori B. Hashimoto, Daphne Koller, Jure Leskovec, Nicholas Eriksson, Percy Liang

CoRR, 2018

A Retrieve-and-Edit Framework for Predicting Structured Outputs.

Tatsunori B. Hashimoto, Kelvin Guu, Yonatan Oren, Percy Liang

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

Fairness Without Demographics in Repeated Loss Minimization.

Tatsunori B. Hashimoto, Megha Srivastava, Hongseok Namkoong, Percy Liang

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

Derivative Free Optimization Via Repeated Classification.

Tatsunori Hashimoto, Steve Yadlowsky, John C. Duchi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Unsupervised Transformation Learning via Convex Relaxations.

Tatsunori B. Hashimoto, Percy Liang, John C. Duchi

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Continuous representations and models from random walk diffusion limits.

Tatsunori Benjamin Hashimoto

PhD thesis, 2016

Word Embeddings as Metric Recovery in Semantic Spaces.

Tatsunori B. Hashimoto, David Alvarez-Melis, Tommi S. Jaakkola

Trans. Assoc. Comput. Linguistics, 2016

GERV: a statistical method for generative evaluation of regulatory variants for transcription factor binding.

Haoyang Zeng, Tatsunori B. Hashimoto, Daniel D. Kang, David K. Gifford

Bioinform., 2016

Learning Population-Level Diffusions with Generative RNNs.

Tatsunori B. Hashimoto, David K. Gifford, Tommi S. Jaakkola

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Word, graph and manifold embedding from Markov processes.

Tatsunori B. Hashimoto, David Alvarez-Melis, Tommi S. Jaakkola

CoRR, 2015

From random walks to distances on unweighted graphs.

Tatsunori B. Hashimoto, Yi Sun, Tommi S. Jaakkola

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Metric recovery from directed unweighted graphs.

Tatsunori B. Hashimoto, Yi Sun, Tommi S. Jaakkola

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

Universal Count Correction for High-Throughput Sequencing.

Tatsunori B. Hashimoto, Matthew D. Edwards, David K. Gifford

PLoS Comput. Biol., 2014

2012

Lineage-based identification of cellular states and expression programs.

Tatsunori B. Hashimoto, Tommi S. Jaakkola, Richard Sherwood, Esteban O. Mazzoni, Hynek Wichterle, David K. Gifford

Bioinform., 2012

2011

Tree preserving embedding.

Albert Shieh, Tatsunori B. Hashimoto, Edoardo M. Airoldi

Proceedings of the 28th International Conference on Machine Learning, 2011

2009

Superconducting Narrowband Filter for Receiver of Weather Radar.

Tamio Kawaguchi, Noritsugu Shiokawa, Kohei Nakayama, Takatoshi Watanabe, Tatsunori Hashimoto, Hiroyuki Kayano

IEICE Trans. Electron., 2009

BFL: a node and edge betweenness based fast layout algorithm for large scale networks.

Tatsunori B. Hashimoto, Masao Nagasaki, Kaname Kojima, Satoru Miyano

BMC Bioinform., 2009

2005

Electrically Tunable Superconducting Microstrip Line Band-Pass Filter for Mobile Applications.

Hiroyuki Kayano, Hiroyuki Fuke, Fumihiko Aiga, Mutsuki Yamazaki, Yoshiaki Terashima, Tatsunori Hashimoto

IEICE Trans. Electron., 2005