Tatsunori Hashimoto

Researcher, Microsoft Semantic Machines

thashim [AT] stanford.edu

Bio

From fall 2019 to 2020 I will be at Microsoft Semantic Machines as a researcher.

Starting fall 2020, I will be starting as an assistant professor at the computer science department at Stanford.

Machine learning systems do well on their training domain, but often fail in dramatic and unexpected ways in the wild. I view these problems as coverage issues - systems can appear to do well even if they fail on rare examples (in prediction) or plagiarize from the training set (in generation). My work seeks to develop evaluations, representations, and training procedures to guarantee uniform, rather than just average case performance of machine learning models.

Previously, I was a post-doc at Stanford working for John C. Duchi and Percy Liang on tradeoffs between the average and worst-case performance of machine learning models. Before my post-doc, I was a graduate student at MIT co-advised by Tommi Jaakkola and David Gifford and a undergraduate student at Harvard in statistics and math advised by Edoardo Airoldi.

Publications

Most recent publications on Google Scholar.

Distributionally Robust Losses Against Mixture Covariate Shifts PDF

John C Duchi, Tatsunori B Hashimoto, Hongseok Namkoong

Preprint

Unifying Human and Statistical Evaluation for Natural Language Generation PDF

Tatsunori B Hashimoto*, Hugh Zhang*, Percy Liang

Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2019)

Generating Sentences by Editing Prototypes PDF

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

Transactions of the Association of Computational Linguistics (TACL, presented at ACL 2018)

Fairness Without Demographics in Repeated Loss Minimization PDF

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

Proceedings of the 35th International Conference on Machine Learning (ICML 2018, Best paper runner up)

Word embeddings as metric recovery in semantic spaces PDF

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

Transactions of the Association for Computational Linguistics 4 (TACL, presented at ACL 2016)

Metric recovery from directed unweighted graphs PDF

Tatsunori B Hashimoto, Yi Sun, Tommi Jaakkola

Artificial Intelligence and Statistics (AISTATS 2015), (best poster at NeurIPS 2014 workshop on networks)

Discovery of directional and nondirectional pioneer transcription factors by modeling DNase profile magnitude and shape PDF

Richard I Sherwood *, Tatsunori B Hashimoto *, Charles W O'donnell *, Sophia Lewis, Amira A Barkal, John Peter Van Hoff, Vivek Karun, Tommi Jaakkola, David K Gifford

Nature Biotechnology (2014)

Distributionally Robust Losses Against Mixture Covariate Shifts PDF

John C Duchi, Tatsunori B Hashimoto, Hongseok Namkoong

Preprint

Inferring Multidimensional Rates of Aging from Cross-Sectional Data

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

22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019)

Unifying Human and Statistical Evaluation for Natural Language Generation PDF

Tatsunori B Hashimoto*, Hugh Zhang*, Percy Liang

Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2019)

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

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

Advances in Neural Information Processing Systems 31 (NeurIPS 2018, Oral)

Generating Sentences by Editing Prototypes PDF

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

Transactions of the Association of Computational Linguistics (TACL, presented at ACL 2018)

Fairness Without Demographics in Repeated Loss Minimization PDF

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

Proceedings of the 35th International Conference on Machine Learning (ICML 2018, Best paper runner up)

Derivative free optimization via repeated classification PDF

Tatsunori B Hashimoto, Steve Yadlowsky, John C Duchi

21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018)

Unsupervised Transformation Learning via Convex Relaxations PDF

Tatsunori B Hashimoto, Percy S Liang, John C Duchi

Advances in Neural Information Processing Systems 30 (NeurIPS 2017)

Continuous representations and models from random walk diffusion limits PDF

Tatsunori B Hashimoto

PhD Thesis, MIT CSAIL, 2016

Word embeddings as metric recovery in semantic spaces PDF

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

Transactions of the Association for Computational Linguistics 4 (TACL, presented at ACL 2016)

Learning Population-Level Diffusions with Generative RNNs PDF

Tatsunori B Hashimoto, David Gifford, Tommi Jaakkola

Proceedings of the 33rd International Conference on Machine Learning (ICML 2016)

From random walks to distances on unweighted graphs PDF

Tatsunori B Hashimoto, Yi Sun, Tommi Jaakkola

Advances in Neural Information Processing Systems (NeurIPS 2015)

Metric recovery from directed unweighted graphs PDF

Tatsunori B Hashimoto, Yi Sun, Tommi Jaakkola

Artificial Intelligence and Statistics (AISTATS 2015), (best poster at NeurIPS 2014 workshop on networks)

A synergistic DNA logic predicts genome-wide chromatin accessibility PDF

Tatsunori B Hashimoto*, Richard I Sherwood*, Daniel D Kang*, Nisha Rajagopal, Amira A Barkal, Haoyang Zeng, Bart JM Emons, Sharanya Srinivasan, Tommi Jaakkola, David K Gifford

Genome research (2016)

Cas9 Functionally Opens Chromatin PDF

Amira A Barkal, Sharanya Srinivasan, Tatsunori B Hashimoto, David K Gifford, Richard I Sherwood

PloS One (2016)

Cloning-free CRISPR PDF

Mandana Arbab, Sharanya Srinivasan, Tatsunori B Hashimoto, Niels Geijsen, Richard I Sherwood

Stem cell reports (2015)

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

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

Bioinformatics (2015)

Long-term persistence and development of induced pancreatic beta cells generated by lineage conversion of acinar cells PDF

Weida Li, Claudia Cavelti-Weder, Yinying Zhang, Kendell Clement, Scott Donovan, Gabriel Gonzalez, Jiang Zhu, Marianne Stemann, Ke Xu, Tatsunori B Hashimoto, Takatsugu Yamada, Mio Nakanishi, Yuemei Zhang, Samuel Zeng, David Gifford, Alexander Meissner, Gordon Weir, Qiao Zhou

Nature Biotechnology (2014)

Universal count correction for high-throughput sequencing PDF

Tatsunori B Hashimoto, Matthew D Edwards, David K Gifford

PLoS computational biology (2014)

Discovery of directional and nondirectional pioneer transcription factors by modeling DNase profile magnitude and shape PDF

Richard I Sherwood *, Tatsunori B Hashimoto *, Charles W O'donnell *, Sophia Lewis, Amira A Barkal, John Peter Van Hoff, Vivek Karun, Tommi Jaakkola, David K Gifford

Nature Biotechnology (2014)

Quantifying condition-dependent intracellular protein levels enables high-precision fitness estimates PDF

Kerry A Geiler-Samerotte, Tatsunori B Hashimoto, Michael F Dion, Bogdan A Budnik, Edoardo M Airoldi, D Allan Drummond

PloS one (2013)

Lineage-based identification of cellular states and expression programs PDF

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

Bioinformatics (2012)

Finding drug discovery rules of thumb with bump hunting PDF

Tatsunori B Hashimoto, Matthew Segall

Proceedings of the ACS (2010)

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

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

BMC bioinformatics (2009)

Distributionally Robust Losses Against Mixture Covariate Shifts PDF

John C Duchi, Tatsunori B Hashimoto, Hongseok Namkoong

Preprint

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

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

Advances in Neural Information Processing Systems 31 (NeurIPS 2018, Oral)

Fairness Without Demographics in Repeated Loss Minimization PDF

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

Proceedings of the 35th International Conference on Machine Learning (ICML 2018, Best paper runner up)

Derivative free optimization via repeated classification PDF

Tatsunori B Hashimoto, Steve Yadlowsky, John C Duchi

21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018)

Unsupervised Transformation Learning via Convex Relaxations PDF

Tatsunori B Hashimoto, Percy S Liang, John C Duchi

Advances in Neural Information Processing Systems 30 (NeurIPS 2017)

Continuous representations and models from random walk diffusion limits PDF

Tatsunori B Hashimoto

PhD Thesis, MIT CSAIL, 2016

Word embeddings as metric recovery in semantic spaces PDF

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

Transactions of the Association for Computational Linguistics 4 (TACL, presented at ACL 2016)

Learning Population-Level Diffusions with Generative RNNs PDF

Tatsunori B Hashimoto, David Gifford, Tommi Jaakkola

Proceedings of the 33rd International Conference on Machine Learning (ICML 2016)

From random walks to distances on unweighted graphs PDF

Tatsunori B Hashimoto, Yi Sun, Tommi Jaakkola

Advances in Neural Information Processing Systems (NeurIPS 2015)

Metric recovery from directed unweighted graphs PDF

Tatsunori B Hashimoto, Yi Sun, Tommi Jaakkola

Artificial Intelligence and Statistics (AISTATS 2015), (best poster at NeurIPS 2014 workshop on networks)

Unifying Human and Statistical Evaluation for Natural Language Generation PDF

Tatsunori B Hashimoto*, Hugh Zhang*, Percy Liang

Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2019)

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

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

Advances in Neural Information Processing Systems 31 (NeurIPS 2018, Oral)

Generating Sentences by Editing Prototypes PDF

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

Transactions of the Association of Computational Linguistics (TACL, presented at ACL 2018)

Continuous representations and models from random walk diffusion limits PDF

Tatsunori B Hashimoto

PhD Thesis, MIT CSAIL, 2016

Word embeddings as metric recovery in semantic spaces PDF

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

Transactions of the Association for Computational Linguistics 4 (TACL, presented at ACL 2016)

Inferring Multidimensional Rates of Aging from Cross-Sectional Data

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

22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019)

Continuous representations and models from random walk diffusion limits PDF

Tatsunori B Hashimoto

PhD Thesis, MIT CSAIL, 2016

Learning Population-Level Diffusions with Generative RNNs PDF

Tatsunori B Hashimoto, David Gifford, Tommi Jaakkola

Proceedings of the 33rd International Conference on Machine Learning (ICML 2016)

A synergistic DNA logic predicts genome-wide chromatin accessibility PDF

Tatsunori B Hashimoto*, Richard I Sherwood*, Daniel D Kang*, Nisha Rajagopal, Amira A Barkal, Haoyang Zeng, Bart JM Emons, Sharanya Srinivasan, Tommi Jaakkola, David K Gifford

Genome research (2016)

Cas9 Functionally Opens Chromatin PDF

Amira A Barkal, Sharanya Srinivasan, Tatsunori B Hashimoto, David K Gifford, Richard I Sherwood

PloS One (2016)

Cloning-free CRISPR PDF

Mandana Arbab, Sharanya Srinivasan, Tatsunori B Hashimoto, Niels Geijsen, Richard I Sherwood

Stem cell reports (2015)

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

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

Bioinformatics (2015)

Long-term persistence and development of induced pancreatic beta cells generated by lineage conversion of acinar cells PDF

Weida Li, Claudia Cavelti-Weder, Yinying Zhang, Kendell Clement, Scott Donovan, Gabriel Gonzalez, Jiang Zhu, Marianne Stemann, Ke Xu, Tatsunori B Hashimoto, Takatsugu Yamada, Mio Nakanishi, Yuemei Zhang, Samuel Zeng, David Gifford, Alexander Meissner, Gordon Weir, Qiao Zhou

Nature Biotechnology (2014)

Universal count correction for high-throughput sequencing PDF

Tatsunori B Hashimoto, Matthew D Edwards, David K Gifford

PLoS computational biology (2014)

Discovery of directional and nondirectional pioneer transcription factors by modeling DNase profile magnitude and shape PDF

Richard I Sherwood *, Tatsunori B Hashimoto *, Charles W O'donnell *, Sophia Lewis, Amira A Barkal, John Peter Van Hoff, Vivek Karun, Tommi Jaakkola, David K Gifford

Nature Biotechnology (2014)

Quantifying condition-dependent intracellular protein levels enables high-precision fitness estimates PDF

Kerry A Geiler-Samerotte, Tatsunori B Hashimoto, Michael F Dion, Bogdan A Budnik, Edoardo M Airoldi, D Allan Drummond

PloS one (2013)

Lineage-based identification of cellular states and expression programs PDF

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

Bioinformatics (2012)

Finding drug discovery rules of thumb with bump hunting PDF

Tatsunori B Hashimoto, Matthew Segall

Proceedings of the ACS (2010)

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

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

BMC bioinformatics (2009)

Talks and slides

NeuralGen Workshop (NAACL 2019): Defining and Evaluating Diversity in Generation

Resume

Acknowledgement

This website uses the website design and template by Martin Saveski