Proceedings of the 2020 ACM-IMS on Foundations of Data Science Conference
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TOTAL DOCUMENTS

(FIVE YEARS 25)

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(FIVE YEARS 1)

Published By ACM

9781450381031

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Towards Practical Lipschitz Bandits

Proceedings of the 2020 ACM-IMS on Foundations of Data Science Conference ◽

10.1145/3412815.3416885 ◽

2020 ◽

Author(s):

Tianyu Wang ◽

Weicheng Ye ◽

Dawei Geng ◽

Cynthia Rudin

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AutoML and Interpretability: Powering the Machine Learning Revolution in Healthcare

Proceedings of the 2020 ACM-IMS on Foundations of Data Science Conference ◽

10.1145/3412815.3416879 ◽

2020 ◽

Author(s):

Mihaela van der Schaar

Keyword(s):

Machine Learning

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Transforming Probabilistic Programs for Model Checking

Proceedings of the 2020 ACM-IMS on Foundations of Data Science Conference ◽

10.1145/3412815.3416896 ◽

2020 ◽

Author(s):

Ryan Bernstein ◽

Matthijs Vákár ◽

Jeannette Wing

Keyword(s):

Model Checking ◽

Probabilistic Programs

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Session details: Session 4: Foundations in Practice

Proceedings of the 2020 ACM-IMS on Foundations of Data Science Conference ◽

10.1145/3429736 ◽

2020 ◽

Author(s):

Stan Ahalt

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Session details: Keynote Talk II

Proceedings of the 2020 ACM-IMS on Foundations of Data Science Conference ◽

10.1145/3429734 ◽

2020 ◽

Author(s):

Jeannette Wing

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Session details: Keynote Talk I

Proceedings of the 2020 ACM-IMS on Foundations of Data Science Conference ◽

10.1145/3429731 ◽

2020 ◽

Author(s):

David Madigan

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On Reinforcement Learning for Turn-based Zero-sum Markov Games

Proceedings of the 2020 ACM-IMS on Foundations of Data Science Conference ◽

10.1145/3412815.3416888 ◽

2020 ◽

Author(s):

Devavrat Shah ◽

Varun Somani ◽

Qiaomin Xie ◽

Zhi Xu

Keyword(s):

Reinforcement Learning ◽

Markov Games ◽

Zero Sum

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Interpreting Black Box Models via Hypothesis Testing

Proceedings of the 2020 ACM-IMS on Foundations of Data Science Conference ◽

10.1145/3412815.3416889 ◽

2020 ◽

Cited By ~ 1

Author(s):

Collin Burns ◽

Jesse Thomason ◽

Wesley Tansey

Keyword(s):

Hypothesis Testing ◽

Black Box ◽

Box Models ◽

Black Box Models

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Semantic Scholar, NLP, and the Fight against COVID-19

Proceedings of the 2020 ACM-IMS on Foundations of Data Science Conference ◽

10.1145/3412815.3416880 ◽

2020 ◽

Author(s):

Oren Etzioni

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Proceedings of the 2020 ACM-IMS on Foundations of Data Science Conference ◽

10.1145/3412815.3416895 ◽

2020 ◽

Author(s):

Haitian Chen ◽

Bai Jiang ◽

Hao Chen

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Proceedings of the 2020 ACM-IMS on Foundations of Data Science ConferenceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By ACM

Towards Practical Lipschitz Bandits

AutoML and Interpretability: Powering the Machine Learning Revolution in Healthcare

Transforming Probabilistic Programs for Model Checking

Session details: Session 4: Foundations in Practice

Session details: Keynote Talk II

Session details: Keynote Talk I

On Reinforcement Learning for Turn-based Zero-sum Markov Games

Interpreting Black Box Models via Hypothesis Testing

Semantic Scholar, NLP, and the Fight against COVID-19

StyleCAPTCHA

Proceedings of the 2020 ACM-IMS on Foundations of Data Science Conference
Latest Publications