S. Sathiya Keerthi
Orcid: 0000-0002-6065-1732
According to our database1,
S. Sathiya Keerthi
authored at least 128 papers
between 1987 and 2024.
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Bibliography
2024
FFSplit: Split Feed-Forward Network For Optimizing Accuracy-Efficiency Trade-off in Language Model Inference.
CoRR, 2024
2023
QuantEase: Optimization-based Quantization for Language Models - An Efficient and Intuitive Algorithm.
CoRR, 2023
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023
Practical Design of Performant Recommender Systems using Large-scale Linear Programming-based Global Inference.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2022
CoRR, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
2020
CoRR, 2020
2019
Proceedings of the 13th ACM Conference on Recommender Systems, 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
An efficient distributed learning algorithm based on effective local functional approximations.
J. Mach. Learn. Res., 2018
Learning State Representations for Query Optimization with Deep Reinforcement Learning.
Proceedings of the Second Workshop on Data Management for End-To-End Machine Learning, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
2017
A distributed block coordinate descent method for training l1 regularized linear classifiers.
J. Mach. Learn. Res., 2017
Efficient Estimation of Generalization Error and Bias-Variance Components of Ensembles.
CoRR, 2017
CoRR, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
2016
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
2015
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, 2015
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015
2014
A distributed block coordinate descent method for training $l_1$ regularized linear classifiers.
CoRR, 2014
2013
CoRR, 2013
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013
2012
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
CoRR, 2012
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012
Extension of TSVM to Multi-Class and Hierarchical Text Classification Problems With General Losses.
Proceedings of the COLING 2012, 2012
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012
2011
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011
Semi-supervised SVMs for classification with unknown class proportions and a small labeled dataset.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011
Semi-supervised multi-task learning of structured prediction models for web information extraction.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011
2010
2009
Proceedings of the Twenty-Eigth ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, 2009
2008
J. Mach. Learn. Res., 2008
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008
Proceedings of the Machine Learning, 2008
2007
IEEE Trans. Neural Networks, 2007
Neural Comput., 2007
Proceedings of the Machine Learning, 2007
2006
Parallel sequential minimal optimization for the training of support vector machines.
IEEE Trans. Neural Networks, 2006
J. Mach. Learn. Res., 2006
Developing parallel sequential minimal optimization for fast training support vector machine.
Neurocomputing, 2006
Proceedings of the SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the Machine Learning, 2006
Proceedings of the Feature Extraction - Foundations and Applications, 2006
2005
IEEE Trans. Neural Networks, 2005
Analyzing textual databases using data mining to enable fast product development processes.
Reliab. Eng. Syst. Saf., 2005
J. Mach. Learn. Res., 2005
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005
Proceedings of the Multiple Classifier Systems, 6th International Workshop, 2005
Generalized LARS as an effective feature selection tool for text classification with SVMs.
Proceedings of the Machine Learning, 2005
Proceedings of the Machine Learning, 2005
2004
An efficient method for computing leave-one-out error in support vector machines with Gaussian kernels.
IEEE Trans. Neural Networks, 2004
IEEE Trans. Neural Networks, 2004
Stability regions for constrained nonlinear systems and their functional characterization via support-vector-machine learning.
Autom., 2004
Proceedings of the Neural Information Processing, 11th International Conference, 2004
2003
Neural Comput., 2003
Neurocomputing, 2003
A simple and efficient algorithm for gene selection using sparse logistic regression.
Bioinform., 2003
Proceedings of the Multiple Classifier Systems, 4th International Workshop, 2003
Automated Text Classification for Fast Feedback - Investigating the Effects of Document Representation.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003
Proceedings of the Advances in Information Retrieval, 2003
2002
Efficient tuning of SVM hyperparameters using radius/margin bound and iterative algorithms.
IEEE Trans. Neural Networks, 2002
A Machine Learning Approach for the Curation of Biomedical Literature - KDD Cup 2002 (Task 1).
SIGKDD Explor., 2002
Mach. Learn., 2002
Proceedings of the 2002 IEEE International Symposium on Intelligent Control, 2002
2001
Pattern Recognit., 2001
Neural Comput., 2001
Neural Comput., 2001
Computation of a penetration measure between 3D convex polyhedral objects for collision detection.
J. Field Robotics, 2001
J. Artif. Intell. Res., 2001
A Unified Loss Function in Bayesian Framework for Support Vector Regression.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001
2000
A stochastic connectionist approach for global optimization with application to pattern clustering.
IEEE Trans. Syst. Man Cybern. Part B, 2000
IEEE Trans. Neural Networks Learn. Syst., 2000
A fast iterative nearest point algorithm for support vector machine classifier design.
IEEE Trans. Neural Networks Learn. Syst., 2000
Proceedings of the Advances in Neural Information Processing Systems 13, 2000
1999
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999
Proceedings of the 1999 IEEE International Conference on Robotics and Automation, 1999
A Study of Representations for Pen based Handwriting Recognition of Tamil Characters.
Proceedings of the Fifth International Conference on Document Analysis and Recognition, 1999
Proceedings of the Fifth International Conference on Document Analysis and Recognition, 1999
1998
IEEE Trans. Neural Networks, 1998
Appl. Math. Comput., 1998
Appl. Math. Comput., 1998
1995
An Augmented Voronoi Roadmap for 3D Translational Motion Planning for a Convex Polyhedron Moving Amidst Convex Polyhedral Obstacles.
Theor. Comput. Sci., 1995
Regional pole placement of multivariable systems under control structure constraints.
IEEE Trans. Autom. Control., 1995
Proceedings of the Sixth Annual ACM-SIAM Symposium on Discrete Algorithms, 1995
1994
Inf. Process. Lett., 1994
1993
Proceedings of the 1993 IEEE International Conference on Robotics and Automation, 1993
Proceedings of the 1993 IEEE International Conference on Robotics and Automation, 1993
Proceedings of the 1993 IEEE International Conference on Robotics and Automation, 1993
Translational Motion Planning for a Convex Polyhedron in a 3D Polyhedral World Using an Efficient and New Roadmap.
Proceedings of the 5th Canadian Conference on Computational Geometry, 1993
1992
A homotopy approach for stabilizing single-input systems with control structure constraints.
Autom., 1992
Path planning: an approach based on connecting all the minimizers and maximizers of a potential function.
Proceedings of the 1992 IEEE International Conference on Robotics and Automation, 1992
Computation of certain measures of proximity between convex polytopes: a complexity viewpoint.
Proceedings of the 1992 IEEE International Conference on Robotics and Automation, 1992
Proceedings of the 1992 IEEE International Conference on Robotics and Automation, 1992
1988
A fast procedure for computing the distance between complex objects in three-dimensional space.
IEEE J. Robotics Autom., 1988
1987
Proceedings of the 1987 IEEE International Conference on Robotics and Automation, Raleigh, North Carolina, USA, March 31, 1987