Visible to the public Biblio

Found 183 results

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2018-05-27
Abhinav Ganesan, Sidharth Jaggi, Venkatesh Saligrama.  2015.  Learning immune-defectives graph through group tests. {IEEE} International Symposium on Information Theory, {ISIT} 2015, Hong Kong, China, June 14-19, 2015. :66–70.
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.
Ziming Zhang, Yuting Chen, Venkatesh Saligrama.  2015.  Group Membership Prediction. 2015 {IEEE} International Conference on Computer Vision, {ICCV} 2015, Santiago, Chile, December 7-13, 2015. :3916–3924.
Manjesh Kumar Hanawal, Venkatesh Saligrama.  2015.  Efficient detection and localization on graph structured data. 2015 {IEEE} International Conference on Acoustics, Speech and Signal Processing, {ICASSP} 2015, South Brisbane, Queensland, Australia, April 19-24, 2015. :5590–5594.
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.
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.
Manjesh Kumar Hanawal, Venkatesh Saligrama.  2015.  Cost effective algorithms for spectral bandits. 53rd Annual Allerton Conference on Communication, Control, and Computing, Allerton 2015, Allerton Park {&} Retreat Center, Monticello, IL, USA, September 29 - October 2, 2015. :1323–1329.
Jonathan Root, Jing Qian, Venkatesh Saligrama.  2015.  Learning Efficient Anomaly Detectors from K-NN Graphs. Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, {AISTATS} 2015, San Diego, California, USA, May 9-12, 2015. 38
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
George K. Atia, Venkatesh Saligrama, Cem Aksoylar.  2015.  Correction to "Boolean Compressed Sensing and Noisy Group Testing". {IEEE} Trans. Information Theory. 61:1507.
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.  2016.  Learning Joint Feature Adaptation for Zero-Shot Recognition. CoRR. abs/1611.07593
Manjesh Kumar Hanawal, Csaba Szepesvári, Venkatesh Saligrama.  2016.  Sequential Learning without Feedback. CoRR. abs/1610.05394
Anelia Somekh{-}Baruch, Amir Leshem, Venkatesh Saligrama.  2016.  On the Non-Existence of Unbiased Estimators in Constrained Estimation Problems. CoRR. abs/1609.07415
Cem Aksoylar, Jing Qian, Venkatesh Saligrama.  2016.  Clustering and Community Detection with Imbalanced Clusters. CoRR. abs/1608.07605
Tolga Bolukbasi, Kai{-}Wei Chang, James Y. Zou, Venkatesh Saligrama, Adam Tauman Kalai.  2016.  Quantifying and Reducing Stereotypes in Word Embeddings. CoRR. abs/1606.06121
Tolga Bolukbasi, Kai{-}Wei Chang, Joseph Wang, Venkatesh Saligrama.  2016.  Structured Prediction with Test-time Budget Constraints. CoRR. abs/1602.08761
Jonathan Root, Venkatesh Saligrama, Jing Qian.  2016.  Learning Minimum Volume Sets and Anomaly Detectors from KNN Graphs. CoRR. abs/1601.06105
Feng Nan, Joseph Wang, Venkatesh Saligrama.  2016.  Optimally Pruning Decision Tree Ensembles With Feature Cost. CoRR. abs/1601.00955
Tolga Bolukbasi, Kai{-}Wei Chang, James Y. Zou, Venkatesh Saligrama, Adam Tauman Kalai.  2016.  Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain. :4349–4357.
Zafar Takhirov, Joseph Wang, Venkatesh Saligrama, Ajay Joshi.  2016.  Energy-Efficient Adaptive Classifier Design for Mobile Systems. Proceedings of the 2016 International Symposium on Low Power Electronics and Design, {ISLPED} 2016, San Francisco Airport, CA, USA, August 08 - 10, 2016. :52–57.
Manjesh Kumar Hanawal, Amir Leshem, Venkatesh Saligrama.  2016.  Efficient algorithms for linear polyhedral bandits. 2016 {IEEE} International Conference on Acoustics, Speech and Signal Processing, {ICASSP} 2016, Shanghai, China, March 20-25, 2016. :4796–4800.
Ziming Zhang, Venkatesh Saligrama.  2016.  Zero-Shot Recognition via Structured Prediction. Computer Vision - {ECCV} 2016 - 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part {VII}. 9911:533–548.
Ziming Zhang, Venkatesh Saligrama.  2016.  Zero-Shot Learning via Joint Latent Similarity Embedding. 2016 {IEEE} Conference on Computer Vision and Pattern Recognition, {CVPR} 2016, Las Vegas, NV, USA, June 27-30, 2016. :6034–6042.
Ziming Zhang, Yuting Chen, Venkatesh Saligrama.  2016.  Efficient Training of Very Deep Neural Networks for Supervised Hashing. 2016 {IEEE} Conference on Computer Vision and Pattern Recognition, {CVPR} 2016, Las Vegas, NV, USA, June 27-30, 2016. :1487–1495.