Biblio
Filters: First Letter Of Last Name is V [Clear All Filters]
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2015. Necessary and Sufficient Conditions and a Provably Efficient Algorithm for Separable Topic Discovery. CoRR. abs/1508.05565
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2015. Learning Mixed Membership Mallows Models from Pairwise Comparisons. CoRR. abs/1504.00757
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2015. Max-Cost Discrete Function Evaluation Problem under a Budget. CoRR. abs/1501.02702
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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.
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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.
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2015. Non-adaptive group testing with inhibitors. 2015 {IEEE} Information Theory Workshop, {ITW} 2015, Jerusalem, Israel, April 26 - May 1, 2015. :1–5.
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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.
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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