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Evaluating Tree Explanation Methods for Anomaly Reasoning: A Case Study of SHAP TreeExplainer and TreeInterpreter


Oct 13, 2020
Pulkit Sharma, Shezan Rohinton Mirzan, Apurva Bhandari, Anish Pimpley, Abhiram Eswaran, Soundar Srinivasan, Liqun Shao

* 10 pages, 2 figures, 4 tables, CMAI workshop 2020 

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Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms


Aug 23, 2019
Liqun Shao, Yiwen Zhu, Abhiram Eswaran, Kristin Lieber, Janhavi Mahajan, Minsoo Thigpen, Sudhir Darbha, Siqi Liu, Subru Krishnan, Soundar Srinivasan, Carlo Curino, Konstantinos Karanasos


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MMLSpark: Unifying Machine Learning Ecosystems at Massive Scales


Oct 20, 2018
Mark Hamilton, Sudarshan Raghunathan, Ilya Matiach, Andrew Schonhoffer, Anand Raman, Eli Barzilay, Minsoo Thigpen, Karthik Rajendran, Janhavi Suresh Mahajan, Courtney Cochrane, Abhiram Eswaran, Ari Green

* Submitted to the NIPS SysML Workshop 2018 

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