基本信息
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个人简介
I am a principal scientist in the Cloud and Information Services Lab (CISL, pronounced as sizzle), an applied science group in Microsoft with Raghu Ramakrishnan as the head. I am located in Mountain View, CA. From Jan 2004-Apr 2012 I was with the Machine Learning Group of Yahoo! Research, in Santa Clara, CA. My recent research has mainly focused on the design of distributed training algorithms for developing various types of linear and nonlinear models on Big Data.
Publications
2015
An efficient distributed learning algorithm based on effective local functional approximations. With Dhruv Mahajan, Nikunj Agrawal, S. Sundararajan and Leon Bottou, Submitted to JMLR, 2015. [abstract]
A distributed block coordinate descent method for training l_1 regularized linear classifiers. With Dhruv Mahajan and S. Sundararajan, Submitted to JMLR, 2015. [abstract]
Towards a Better Understanding of Predict and Count Models. With Tobias Schnabel and Rajiv Khanna, arXiv:1511.02024v1, 2015. [abstract]
Learning a Hierarchical Monitoring System for Detecting and Diagnosing Service Issues. With Vinod Nair, Ameya Raul, Shwetabh Khanduja, Vikas Bahirwani, S. Sundararajan, Steve Herbert, Sudheer Dhulipalla, and Qihong Shao, KDD, 2015. [abstract]
Near Real-time Service Monitoring Using High-dimensional Time Series. With Vinod Nair, Sundararajan Sellamanickam, Shwetabh Khanduja, Ameya Raul, and Ajesh Shaj, ICDM, 2015. [abstract]
2014
A distributed block coordinate descent method for training L1 regularized linear classifiers. With Dhruv Mahajan and S. Sundararajan, submitted to JMLR, 2014. [abstract]
An efficient distributed learning algorithm based on effective local functional approximations. With Dhruv Mahajan, Nikunj Agrawal, S. Sundararajan and Leon Bottou, submitted to JMLR, 2014. [abstract]
2013
Tractable semi-supervised learning of complex structured prediction models. With Kai-Wei Chang and S. Sundararajan, ECML, 2013. [abstract]
2012
Extension of TSVM to multi-class and hierarchical textclassification problems with general losses (Long version). With S. Sundararajan and S.K. Shevade, COLING, 2012. [abstract]
Iterative Viterbi A* algorithm for K-best sequential coding. With Z. Huang, Y. Chang, B. Long, J.F. Crespo, A. Dong and S.L. Wu, ACL, 2012. [abstract]
A simple approach to the design of site-level extractors usingdomain-centric principles. With C. Long, X. Geng and C. Xu, CIKM, 2012. [abstract]
Deterministic annealing for semi-supervisedstructured output learning. With P. Dhillon, K. Bellare, O. Chapelle and S. Sundararajan, AISTATS, 2012. [abstract]
Regularized structured output learning with partial labels. With S. Sundararajan and C. Tiwari. SDM, 2012. [abstract]
研究兴趣
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Changshuai Wei, Benjamin Zelditch, Joyce Chen, Andre Assuncao Silva T Ribeiro, Jingyi Kenneth Tay,Borja Ocejo Elizondo,Keerthi Selvaraj,Aman Gupta, Licurgo Benemann De Almeida
CoRR (2024)
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Zirui Liu,Qingquan Song, Qiang Charles Xiao,Sathiya Keerthi Selvaraj,Rahul Mazumder,Aman Gupta,Xia Hu
CoRR (2024)
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PROCEEDINGS OF THE 32ND ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2023pp.5-14, (2023)
Aman Gupta,S. Sathiya Keerthi,Ayan Acharya,Miao Cheng, Borja Ocejo Elizondo,Rohan Ramanath,Rahul Mazumder,Kinjal Basu,J. Kenneth Tay, Rupesh Gupta
KDDpp.5781-5782, (2023)
arXiv (Cornell University) (2022)
Proceedings of the ... AAAI Conference on Artificial Intelligenceno. 4 (2022): 3821-3829
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