Visible to the public Biblio

Found 175 results

Filters: Author is Venkatesh Saligrama  [Clear All Filters]
2015
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama.  2015.  Learning Mixed Membership Mallows Models from Pairwise Comparisons. CoRR. abs/1504.00757
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama.  2015.  Learning shared rankings from mixtures of noisy pairwise comparisons. 2015 {IEEE} International Conference on Acoustics, Speech and Signal Processing, {ICASSP} 2015, South Brisbane, Queensland, Australia, April 19-24, 2015. :5446–5450.
Feng Nan, Joseph Wang, Venkatesh Saligrama.  2015.  Max-Cost Discrete Function Evaluation Problem under a Budget. CoRR. abs/1501.02702
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama.  2015.  Most large topic models are approximately separable. 2015 Information Theory and Applications Workshop, {ITA} 2015, San Diego, CA, USA, February 1-6, 2015. :199–203.
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama.  2015.  Necessary and Sufficient Conditions and a Provably Efficient Algorithm for Separable Topic Discovery. CoRR. abs/1508.05565
Abhinav Ganesan, Sidharth Jaggi, Venkatesh Saligrama.  2015.  Non-adaptive group testing with inhibitors. 2015 {IEEE} Information Theory Workshop, {ITW} 2015, Jerusalem, Israel, April 26 - May 1, 2015. :1–5.
Wuyang Dai, Theodora S. Brisimi, William G. Adams, Theofanie Mela, Venkatesh Saligrama, Ioannis Ch. Paschalidis.  2015.  Prediction of hospitalization due to heart diseases by supervised learning methods. I. J. Medical Informatics. 84:189–197.
Ziming Zhang, Venkatesh Saligrama.  2015.  Rapid: Rapidly accelerated proximal gradient algorithms for convex minimization. 2015 {IEEE} International Conference on Acoustics, Speech and Signal Processing, {ICASSP} 2015, South Brisbane, Queensland, Australia, April 19-24, 2015. :3796–3800.
Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama.  2015.  Sensor Selection by Linear Programming. CoRR. abs/1509.02954
Ziming Zhang, Yuting Chen, Venkatesh Saligrama.  2015.  Supervised Hashing with Deep Neural Networks. CoRR. abs/1511.04524
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama.  2015.  A Topic Modeling Approach to Ranking. Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, {AISTATS} 2015, San Diego, California, USA, May 9-12, 2015. 38
Ziming Zhang, Venkatesh Saligrama.  2015.  Zero-Shot Learning via Semantic Similarity Embedding. 2015 {IEEE} International Conference on Computer Vision, {ICCV} 2015, Santiago, Chile, December 7-13, 2015. :4166–4174.
2014
Jing Qian, Venkatesh Saligrama, Yuting Chen.  2014.  Anomalous cluster detection. {IEEE} International Conference on Acoustics, Speech and Signal Processing, {ICASSP} 2014, Florence, Italy, May 4-9, 2014. :3854–3858.
Jing Qian, Venkatesh Saligrama, Yuting Chen.  2014.  Connected Sub-graph Detection. Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, {AISTATS} 2014, Reykjavik, Iceland, April 22-25, 2014. 33:796–804.
Weicong Ding, Mohammad H. Rohban, Prakash Ishwar, Venkatesh Saligrama.  2014.  Efficient Distributed Topic Modeling with Provable Guarantees. Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, {AISTATS} 2014, Reykjavik, Iceland, April 22-25, 2014. 33:167–175.
Jing Qian, Venkatesh Saligrama.  2014.  Efficient Minimax Signal Detection on Graphs. Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, December 8-13 2014, Montreal, Quebec, Canada. :2708–2716.
Feng Nan, Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama.  2014.  Fast margin-based cost-sensitive classification. {IEEE} International Conference on Acoustics, Speech and Signal Processing, {ICASSP} 2014, Florence, Italy, May 4-9, 2014. :2952–2956.
Cem Aksoylar, Venkatesh Saligrama.  2014.  Information-theoretic bounds for adaptive sparse recovery. 2014 {IEEE} International Symposium on Information Theory, Honolulu, HI, USA, June 29 - July 4, 2014. :1311–1315.
Cem Aksoylar, Venkatesh Saligrama.  2014.  Information-Theoretic Characterization of Sparse Recovery. Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, {AISTATS} 2014, Reykjavik, Iceland, April 22-25, 2014. 33:38–46.
Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama.  2014.  An LP for Sequential Learning Under Budgets. Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, {AISTATS} 2014, Reykjavik, Iceland, April 22-25, 2014. 33:987–995.
Joseph Wang, Tolga Bolukbasi, Kirill Trapeznikov, Venkatesh Saligrama.  2014.  Model Selection by Linear Programming. Computer Vision - {ECCV} 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part {II}. 8690:647–662.
Chun Lam Chan, Sidharth Jaggi, Venkatesh Saligrama, Samar Agnihotri.  2014.  Non-Adaptive Group Testing: Explicit Bounds and Novel Algorithms. {IEEE} Trans. Information Theory. 60:3019–3035.
Abhinav Ganesan, Javad Ebrahimi, Sidharth Jaggi, Venkatesh Saligrama.  2014.  Non-Adaptive Group Testing with Inhibitors. CoRR. abs/1410.8440
Ziming Zhang, Yuting Chen, Venkatesh Saligrama.  2014.  A Novel Visual Word Co-occurrence Model for Person Re-identification. Computer Vision - {ECCV} 2014 Workshops - Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part {III}. 8927:122–133.
Ziming Zhang, Venkatesh Saligrama.  2014.  Person Re-identification via Structured Prediction. CoRR. abs/1406.4444