Kevin Haas

According to our database, Kevin Haas authored at least 10 papers between 1996 and 2021.

Collaborative distances:

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

2021

Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud.

Michaela Hardt, Xiaoguang Chen, Xiaoyi Cheng, Michele Donini, Jason Gelman, Satish Gollaprolu, John He, Pedro Larroy, Xinyu Liu, Nick McCarthy, Ashish Rathi, Scott Rees, Amaresh Ankit Siva, ErhYuan Tsai, Keerthan Vasist, Pinar Yilmaz, Muhammad Bilal Zafar, Sanjiv Das, Kevin Haas, Tyler Hill, Krishnaram Kenthapadi

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2019

Continuous Training for Production ML in the TensorFlow Extended (TFX) Platform.

Denis Baylor, Kevin Haas, Konstantinos Katsiapis, Sammy Leong, Rose Liu, Clemens Mewald, Hui Miao, Neoklis Polyzotis, Mitchell Trott, Martin Zinkevich

Proceedings of the 2019 USENIX Conference on Operational Machine Learning, 2019

Towards ML Engineering with TensorFlow Extended (TFX).

Konstantinos Katsiapis, Kevin Haas

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2013

Statistical Learning Theory of Protein Dynamics.

Kevin Haas

PhD thesis, 2013

2012

User Taglines: Alternative Presentations of Expertise and Interest in Social Media.

Hemant Purohit, Alex Dow, Omar Alonso, Lei Duan, Kevin Haas

Proceedings of the 2012 International Conference on Social Informatics (SocialInformatics), 2012

Social annotations: utility and prediction modeling.

Patrick Pantel, Michael Gamon, Omar Alonso, Kevin Haas

Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

2011

Enhanced results for web search.

Kevin Haas, Peter Mika, Paul Tarjan, Roi Blanco

Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

2008

Applications of Voting Theory to Information Mashups.

Alfredo Alba, Varun Bhagwan, Julia Grace, Daniel Gruhl, Kevin Haas, Meenakshi Nagarajan, Jan Pieper, Christine Robson, Nachiketa Sahoo

Proceedings of the 2th IEEE International Conference on Semantic Computing (ICSC 2008), 2008

2006

A funny thing happened on the way to a billion ....

Alfredo Alba, Varun Bhagwan, Mike Ching, Alex Cozzi, Raj Desai, Daniel Gruhl, Kevin Haas, Linda Kato, Jeff Kusnitz, Bryan Langston, Ferdy Nagy, Linda A. Nguyen, Jan Pieper, Savitha Srinivasan, Anthony Stuart, Renjie Tang

IEEE Data Eng. Bull., 2006

1996

LORE: A Lightweight Object REpository for Semistructured Data.

Dallan Quass, Jennifer Widom, Roy Goldman, Kevin Haas, Qingshan Luo, Jason McHugh, Svetlozar Nestorov, Anand Rajaraman, Hugo Rivero, Serge Abiteboul, Jeffrey D. Ullman, Janet L. Wiener

Proceedings of the 1996 ACM SIGMOD International Conference on Management of Data, 1996