Biblio
Filters: Author is Venkatesh Saligrama [Clear All Filters]
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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.
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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.
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2015. Group Membership Prediction. 2015 {IEEE} International Conference on Computer Vision, {ICCV} 2015, Santiago, Chile, December 7-13, 2015. :3916–3924.
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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.
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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.
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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.
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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.
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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
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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
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2015. Correction to "Boolean Compressed Sensing and Noisy Group Testing". {IEEE} Trans. Information Theory. 61:1507.
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2015. Prediction of hospitalization due to heart diseases by supervised learning methods. I. J. Medical Informatics. 84:189–197.
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2016. Learning Joint Feature Adaptation for Zero-Shot Recognition. CoRR. abs/1611.07593
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2016. Sequential Learning without Feedback. CoRR. abs/1610.05394
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2016. On the Non-Existence of Unbiased Estimators in Constrained Estimation Problems. CoRR. abs/1609.07415
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2016. Clustering and Community Detection with Imbalanced Clusters. CoRR. abs/1608.07605
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2016. Quantifying and Reducing Stereotypes in Word Embeddings. CoRR. abs/1606.06121
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2016. Structured Prediction with Test-time Budget Constraints. CoRR. abs/1602.08761
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2016. Learning Minimum Volume Sets and Anomaly Detectors from KNN Graphs. CoRR. abs/1601.06105
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2016. Optimally Pruning Decision Tree Ensembles With Feature Cost. CoRR. abs/1601.00955
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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.
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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.
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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.
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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.
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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.
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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.