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    Author information
    First name: S. Sathiya
    Last name: Keerthi
    DBLP: 35/6732
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    Conference paper
    Michal Derezinski, Dhruv Kumar Mahajan, S. Sathiya Keerthi, S. V. N. Vishwanathan, Markus Weimer.
    Batch-Expansion Training: An Efficient Optimization Paradigm for Machine Learning.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Si Si, Huan Zhang, S. Sathiya Keerthi, Dhruv Kumar Mahajan, Inderjit S. Dhillon, Cho-Jui Hsieh.
    Gradient Boosted Decision Trees for High Dimensional Sparse Output.
    Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017 2017 (0) 2017
    Conference paper
    Dhruv Kumar Mahajan, Vishwajit Kolathur, Chetan Bansal, Suresh Parthasarathy, Sundararajan Sellamanickam, S. Sathiya Keerthi, Johannes Gehrke.
    Hashtag Recommendation for Enterprise Applications.
    Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016 2016 (0) 2016
    Conference paper
    Vinod Nair, Ameya Raul, Shwetabh Khanduja, Vikas Bahirwani, Sundararajan Sellamanickam, S. Sathiya Keerthi, Steve Herbert, Sudheer Dhulipalla.
    Learning a Hierarchical Monitoring System for Detecting and Diagnosing Service Issues.
    Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015 2015 (0) 2015
    Conference paper
    S. Sathiya Keerthi, Tobias Schnabel, Rajiv Khanna.
    Towards a Better Understanding of Predict and Count Models.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Shwetabh Khanduja, Vinod Nair, S. Sundararajan, Ameya Raul, Ajesh Babu Shaj, S. Sathiya Keerthi.
    Near Real-Time Service Monitoring Using High-Dimensional Time Series.
    IEEE International Conference on Data Mining Workshop, ICDMW 2015, Atlantic City, NJ, USA, November 14-17, 2015 2015 (0) 2015
    Journal article
    Dhruv Kumar Mahajan, S. Sathiya Keerthi, S. Sundararajan.
    A Distributed Algorithm for Training Nonlinear Kernel Machines.
    CoRR 2014, Volume 0 (0) 2014
    Journal article
    Dhruv Kumar Mahajan, S. Sathiya Keerthi, S. Sundararajan.
    A distributed block coordinate descent method for training $l_1$ regularized linear classifiers.
    CoRR 2014, Volume 0 (0) 2014
    Conference paper
    Kai-Wei Chang, S. Sundararajan, S. Sathiya Keerthi.
    Tractable Semi-supervised Learning of Complex Structured Prediction Models.
    Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part III 2013 (0) 2013
    Journal article
    Dhruv Kumar Mahajan, S. Sathiya Keerthi, S. Sundararajan, Léon Bottou.
    A Functional Approximation Based Distributed Learning Algorithm.
    CoRR 2013, Volume 0 (0) 2013
    Journal article
    Dhruv Kumar Mahajan, S. Sathiya Keerthi, S. Sundararajan, Léon Bottou.
    A Parallel SGD method with Strong Convergence.
    CoRR 2013, Volume 0 (0) 2013
    Conference paper
    Balamurugan P., Shirish K. Shevade, S. Sundararajan, S. Sathiya Keerthi.
    An Empirical Evaluation of Sequence-Tagging Trainers.
    CoRR 2013, Volume 0 (0) 2013
    Journal article
    Rahul Kidambi, Vinod Nair, Sundararajan Sellamanickam, S. Sathiya Keerthi.
    A Structured Prediction Approach for Missing Value Imputation.
    CoRR 2013, Volume 0 (0) 2013
    Journal article
    Vinod Nair, Rahul Kidambi, Sundararajan Sellamanickam, S. Sathiya Keerthi, Johannes Gehrke, Vijay Narayanan.
    A Quantitative Evaluation Framework for Missing Value Imputation Algorithms.
    CoRR 2013, Volume 0 (0) 2013
    Conference paper
    Paramveer S. Dhillon, S. Sathiya Keerthi, Kedar Bellare, Olivier Chapelle, Sundararajan Sellamanickam.
    Deterministic Annealing for Semi-Supervised Structured Output Learning.
    Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2012, La Palma, Canary Islands, April 21-23, 2012 2012 (0) 2012
    Conference paper
    Sundararajan Sellamanickam, S. Sathiya Keerthi.
    Predictive Approaches For Gaussian Process Classifier Model Selection
    CoRR 2012, Volume 0 (0) 2012
    Conference paper
    Sundararajan Sellamanickam, S. Sathiya Keerthi.
    Graph Based Classification Methods Using Inaccurate External Classifier Information
    CoRR 2012, Volume 0 (0) 2012
    Conference paper
    Sundararajan Sellamanickam, S. Sathiya Keerthi.
    Transductive Classification Methods for Mixed Graphs
    CoRR 2012, Volume 0 (0) 2012
    Journal article
    S. Sathiya Keerthi, Sundararajan Sellamanickam, Shirish K. Shevade.
    Extension of TSVM to Multi-Class and Hierarchical Text Classification Problems With General Losses
    CoRR 2012, Volume 0 (0) 2012
    Conference paper
    S. Sathiya Keerthi, Sundararajan Sellamanickam, Shirish K. Shevade.
    Extension of TSVM to Multi-Class and Hierarchical Text Classification Problems With General Losses.
    COLING 2012, 24th International Conference on Computational Linguistics, Proceedings of the Conference: Posters, 8-15 December 2012, Mumbai, India 2012 (0) 2012
    Conference paper
    Sundararajan Sellamanickam, Charu Tiwari, S. Sathiya Keerthi.
    Regularized Structured Output Learning with Partial Labels.
    Proceedings of the Twelfth SIAM International Conference on Data Mining, Anaheim, California, USA, April 26-28, 2012. 2012 (0) 2012
    Conference paper
    Shirish K. Shevade, Balamurugan P., S. Sundararajan, S. Sathiya Keerthi.
    A Sequential Dual Method for Structural SVMs.
    Proceedings of the Eleventh SIAM International Conference on Data Mining, SDM 2011, April 28-30, 2011, Mesa, Arizona, USA 2011 (0) 2011
    Journal article
    Chiranjib Bhattacharyya, S. Sathiya Keerthi.
    Mean Field Methods for a Special Class of Belief Networks
    CoRR 2011, Volume 0 (0) 2011
    Journal article
    Olivier Chapelle, S. Sathiya Keerthi.
    Efficient algorithms for ranking with SVMs.
    Inf. Retr. 2010, Volume 13 (0) 2010
    Conference paper
    Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin, S. Sathiya Keerthi, S. Sundararajan.
    A dual coordinate descent method for large-scale linear SVM.
    Machine Learning, Proceedings of the Twenty-Fifth International Conference (ICML 2008), Helsinki, Finland, June 5-9, 2008 2008 (0) 2008
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