Visible to the public Biblio

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2018-05-27
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.
Delaram Motamedvaziri, Mohammad Hossein Rohban, Venkatesh Saligrama.  2014.  Sparse signal recovery under poisson statistics for online marketing applications. {IEEE} International Conference on Acoustics, Speech and Signal Processing, {ICASSP} 2014, Florence, Italy, May 4-9, 2014. :4953–4957.
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.  2014.  Spectral clustering with imbalanced data. {IEEE} International Conference on Acoustics, Speech and Signal Processing, {ICASSP} 2014, Florence, Italy, May 4-9, 2014. :3057–3061.
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.
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama, W. Clem Karl.  2014.  Sensing-aware kernel SVM. {IEEE} International Conference on Acoustics, Speech and Signal Processing, {ICASSP} 2014, Florence, Italy, May 4-9, 2014. :2947–2951.
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.
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.
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.
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.
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.
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.
Ziming Zhang, Yuting Chen, Venkatesh Saligrama.  2015.  Supervised Hashing with Deep Neural Networks. CoRR. abs/1511.04524
Ziming Zhang, Venkatesh Saligrama.  2015.  Classifying Unseen Instances by Learning Class-Independent Similarity Functions. CoRR. abs/1511.04512
Ziming Zhang, Yun Liu, Tolga Bolukbasi, Ming{-}Ming Cheng, Venkatesh Saligrama.  2015.  BING++: A Fast High Quality Object Proposal Generator at 100fps. CoRR. abs/1511.04511
Manjesh Kumar Hanawal, Amir Leshem, Venkatesh Saligrama.  2015.  Algorithms for Linear Bandits on Polyhedral Sets. CoRR. abs/1509.07927
Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama.  2015.  Sensor Selection by Linear Programming. CoRR. abs/1509.02954
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama.  2015.  Necessary and Sufficient Conditions and a Provably Efficient Algorithm for Separable Topic Discovery. CoRR. abs/1508.05565
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama.  2015.  Learning Mixed Membership Mallows Models from Pairwise Comparisons. CoRR. abs/1504.00757
Feng Nan, Joseph Wang, Venkatesh Saligrama.  2015.  Max-Cost Discrete Function Evaluation Problem under a Budget. CoRR. abs/1501.02702
Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama.  2015.  Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction. Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada. :2152–2160.
Gregory D. Castañón, Yuting Chen, Ziming Zhang, Venkatesh Saligrama.  2015.  Efficient Activity Retrieval through Semantic Graph Queries. Proceedings of the 23rd Annual {ACM} Conference on Multimedia Conference, {MM} '15, Brisbane, Australia, October 26 - 30, 2015. :391–400.
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.
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.