Abhiram Eswaran

Publication Activity (10 Years)

Years Active: 2018-2020
Publications (10 Years): 6

Top Topics

Machine Learning

Unlabeled Instances

Semi Supervised Classification

Top Venues

Publications

Pulkit Sharma, Shezan Rohinton Mirzan, Apurva Bhandari, Anish Pimpley, Abhiram Eswaran, Soundar Srinivasan, Liqun Shao
Evaluating Tree Explanation Methods for Anomaly Reasoning: A Case Study of SHAP TreeExplainer and TreeInterpreter. ER (Workshops) (2020)
Pulkit Sharma, Shezan Rohinton Mirzan, Apurva Bhandari, Anish Pimpley, Abhiram Eswaran, Soundar Srinivasan, Liqun Shao
Evaluating Tree Explanation Methods for Anomaly Reasoning: A Case Study of SHAP TreeExplainer and TreeInterpreter. CoRR (2020)
Liqun Shao, Yiwen Zhu, Abhiram Eswaran, Kristin Lieber, Janhavi Suresh Mahajan, Minsoo Thigpen, Sudhir Darbha, Siqi Liu, Subru Krishnan, Soundar Srinivasan, Carlo Curino, Konstantinos Karanasos
Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms. CoRR (2019)
Liqun Shao, Yiwen Zhu, Siqi Liu, Abhiram Eswaran, Kristin Lieber, Janhavi Suresh Mahajan, Minsoo Thigpen, Sudhir Darbha, Subru Krishnan, Soundar Srinivasan, Carlo Curino, Konstantinos Karanasos
Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms. SoCC (2019)
Konstantinos Karanasos, Yiwen Zhu, Abhiram Eswaran, Liqun Shao, Janhavi Suresh Mahajan, Subru Krishnan, Sudhir Darbha, Minsoo Thigpen, Kristin Lieber, Soundar Srinivasan, Siqi Liu, Carlo Curino
Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms. SoCC (2019)
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
MMLSpark: Unifying Machine Learning Ecosystems at Massive Scales. CoRR (2018)