S. Sathiya Keerthi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
42
Venues
21
Active years
1987–2025
Best venue rank
A*
Where they publish
Papers
42 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | AlphaPO: Reward Shape Matters for LLM Alignment. | Aman Gupta, Shao Tang, Qingquan Song, Sirou Zhu, Jiwoo Hong, Ankan Saha, Viral Gupta, Noah Lee, Eunki Kim, Siyu Zhu, Parag Agrawal, Natesh S. Pillai, S. Sathiya Keerthi |
| 2024 | ICLR | A Precise Characterization of SGD Stability Using Loss Surface Geometry. | Gregory Dexter, Borja Ocejo, S. Sathiya Keerthi, Aman Gupta, Ayan Acharya, Rajiv Khanna |
| 2024 | KDD | LiRank: Industrial Large Scale Ranking Models at LinkedIn. | Fedor Borisyuk, Mingzhou Zhou, Qingquan Song, Siyu Zhu, Birjodh Singh Tiwana, Ganesh Parameswaran, Siddharth Dangi, Lars Hertel, Qiang Charles Xiao, Xiaochen Hou, Yunbo Ouyang, Aman Gupta, Sheallika Singh, Dan Liu, Hailing Cheng, Lei Le, Jonathan Hung, S. Sathiya Keerthi, Ruoyan Wang, Fengyu Zhang, Mohit Kothari, Chen Zhu, Daqi Sun, Yun Dai, Xun Luan, Sirou Zhu, Zhiwei Wang, Neil Daftary, Qianqi Shen, Chengming Jiang, Haichao Wei, Maneesh Varshney, Amol Ghoting, Souvik Ghosh |
| 2024 | KDD | LiMAML: Personalization of Deep Recommender Models via Meta Learning. | Ruofan Wang, Prakruthi Prabhakar, Gaurav Srivastava, Tianqi Wang, Zeinab S. Jalali, Varun Bharill, Yunbo Ouyang, Aastha Nigam, Divya Venugopalan, Aman Gupta, Fedor Borisyuk, S. Sathiya Keerthi, Ajith Muralidharan |
| 2023 | KDD | Practical Design of Performant Recommender Systems using Large-scale Linear Programming-based Global Inference. | Aman Gupta, S. Sathiya Keerthi, Ayan Acharya, Miao Cheng, Borja Ocejo Elizondo, Rohan Ramanath, Rahul Mazumder, Kinjal Basu, J. Kenneth Tay, Rupesh Gupta |
| 2022 | AAAI | Efficient Vertex-Oriented Polytopic Projection for Web-Scale Applications. | Rohan Ramanath, S. Sathiya Keerthi, Yao Pan, Konstantin Salomatin, Kinjal Basu |
| 2019 | RecSys | Domain adaptation in display advertising: an application for partner cold-start. | Karan Aggarwal, Pranjul Yadav, S. Sathiya Keerthi |
| 2018 | AISTATS | Batch-Expansion Training: An Efficient Optimization Framework. | Michal Derezinski, Dhruv Mahajan, S. Sathiya Keerthi, S. V. N. Vishwanathan, Markus Weimer |
| 2018 | SIGMOD | Learning State Representations for Query Optimization with Deep Reinforcement Learning. | Jennifer Ortiz, Magdalena Balazinska, Johannes Gehrke, S. Sathiya Keerthi |
| 2017 | ICML | Gradient Boosted Decision Trees for High Dimensional Sparse Output. | Si Si, Huan Zhang, S. Sathiya Keerthi, Dhruv Mahajan, Inderjit S. Dhillon, Cho-Jui Hsieh |
| 2016 | CIKM | Hashtag Recommendation for Enterprise Applications. | Dhruv Mahajan, Vishwajit Kolathur, Chetan Bansal, Suresh Parthasarathy, Sundararajan Sellamanickam, S. Sathiya Keerthi, Johannes Gehrke |
| 2015 | ICDM | Near Real-Time Service Monitoring Using High-Dimensional Time Series. | Shwetabh Khanduja, Vinod Nair, S. Sundararajan, Ameya Raul, Ajesh Babu Shaj, S. Sathiya Keerthi |
| 2015 | KDD | Learning a Hierarchical Monitoring System for Detecting and Diagnosing Service Issues. | Vinod Nair, Ameya Raul, Shwetabh Khanduja, Vikas Bahirwani, Sundararajan Sellamanickam, S. Sathiya Keerthi, Steve Herbert, Sudheer Dhulipalla |
| 2012 | ACL | Iterative Viterbi A* Algorithm for K-Best Sequential Decoding. | Zhiheng Huang, Yi Chang, Bo Long, Jean-Franois Crespo, Anlei Dong, S. Sathiya Keerthi, Su-Lin Wu |
| 2012 | SIGMOD | Automatic web-scale information extraction. | Philip Bohannon, Nilesh N. Dalvi, Yuval Filmus, Nori Jacoby, S. Sathiya Keerthi, Alok Kirpal |
| 2011 | SDM | A Sequential Dual Method for Structural SVMs. | Shirish K. Shevade, P. Balamurugan, S. Sundararajan, S. Sathiya Keerthi |
| 2009 | PODS | A web of concepts. | Nilesh N. Dalvi, Ravi Kumar, Bo Pang, Raghu Ramakrishnan, Andrew Tomkins, Philip Bohannon, S. Sathiya Keerthi, Srujana Merugu |
| 2008 | ICML | A dual coordinate descent method for large-scale linear SVM. | Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin, S. Sathiya Keerthi, S. Sundararajan |
| 2008 | KDD | A sequential dual method for large scale multi-class linear svms. | S. Sathiya Keerthi, S. Sundararajan, Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin |
| 2007 | ICML | Trust region Newton methods for large-scale logistic regression. | Chih-Jen Lin, Ruby C. Weng, S. Sathiya Keerthi |
| 2007 | IJCAI | Semi-Supervised Gaussian Process Classifiers. | Vikas Sindhwani, Wei Chu, S. Sathiya Keerthi |
| 2006 | ICML | Deterministic annealing for semi-supervised kernel machines. | Vikas Sindhwani, S. Sathiya Keerthi, Olivier Chapelle |
| 2006 | SIGIR | Large scale semi-supervised linear SVMs. | Vikas Sindhwani, S. Sathiya Keerthi |
| 2005 | ICML | New approaches to support vector ordinal regression. | Wei Chu, S. Sathiya Keerthi |
| 2005 | ICML | Generalized LARS as an effective feature selection tool for text classification with SVMs. | S. Sathiya Keerthi |
| 2004 | ICONIP | Predictive Approaches for Sparse Model Learning. | Shirish K. Shevade, S. Sundararajan, S. Sathiya Keerthi |
| 2003 | ECIR | A Machine Learning Approach for the Curation of Biomedical Literature. | Min Shi, David S. Edwin, Rakesh Menon, Lixiang Shen, Jonathan Y. K. Lim, Han Tong Loh, S. Sathiya Keerthi, Chong Jin Ong |
| 2003 | IJCNN | SMO algorithm for least squares SVM. | S. Sathiya Keerthi, Shirish K. Shevade |
| 2003 | KES | Automated Text Classification for Fast Feedback - Investigating the Effects of Document Representation. | Rakesh Menon, Han Tong Loh, S. Sathiya Keerthi, Aarnout Brombacher |
| 2002 | ICML | A Fast Dual Algorithm for Kernel Logistic Regression. | S. Sathiya Keerthi, Kaibo Duan, Shirish K. Shevade, Aun Neow Poo |
| 2001 | ICML | A Unified Loss Function in Bayesian Framework for Support Vector Regression. | Wei Chu, S. Sathiya Keerthi, Chong Jin Ong |
| 1999 | ICDAR | Context Filters for Document-based Information Filtering. | K. R. K. Murthy, S. Sathiya Keerthi |
| 1999 | ICDAR | A Study of Representations for Pen based Handwriting Recognition of Tamil Characters. | C. S. Sundaresan, S. Sathiya Keerthi |
| 1999 | ICRA | EquiDistance Diagram: A New Roadmap Method for Path Planning. | S. Sathiya Keerthi, Chong Jin Ong, Eugene Huang, Elmer G. Gilbert |
| 1995 | SODA | Algorithms for the Optimal Loading of Recursive Neural Nets. | Vijay Chandru, Abhi Dattasharma, S. Sathiya Keerthi, N. K. Sancheti, V. Vinay |
| 1993 | ICRA | Optimal Control of a Somersaulting Platform Diver: A Numerical Approach. | Nukala V. R. K. N. Murthy, S. Sathiya Keerthi |
| 1993 | ICRA | Numerical Determination of Optimal Non-Holonomic Paths in the Presence of Obstacles. | Sudhaker Samuel, S. Sathiya Keerthi |
| 1993 | ICRA | On Computing a Distance Measure for Path Planning. | K. Sridharan, Harry E. Stephanou, S. Sathiya Keerthi |
| 1992 | ICRA | A new approach to the numerical solution of constrained mechanical system dynamics. | S. Sathiya Keerthi, Rachuri Sudarsan, N. K. Sancheti |
| 1992 | ICRA | Computation of certain measures of proximity between convex polytopes: a complexity viewpoint. | N. K. Sancheti, S. Sathiya Keerthi |
| 1992 | ICRA | Path planning: an approach based on connecting all the minimizers and maximizers of a potential function. | H. Shashikala, N. K. Sancheti, S. Sathiya Keerthi |
| 1987 | ICRA | A fast procedure for computing the distance between complex objects in three space. | Elmer G. Gilbert, Daniel W. Johnson, S. Sathiya Keerthi |