Biblio
Filters: Author is Venkatesh Saligrama [Clear All Filters]
Non-Adaptive Group Testing with Inhibitors. CoRR. abs/1410.8440
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2014.
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.
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.
Learning Immune-Defectives Graph Through Group Tests. {IEEE} Trans. Information Theory. 63:3010–3028.
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2017.
Lower Bounds for Two-Sample Structural Change Detection in Ising and Gaussian Models. CoRR. abs/1710.10366
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2017.
A technical framework for light- handed regulation of cognitive radios. {IEEE} Communications Magazine. 47:96–102.
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2009.
On the Non-Existence of Unbiased Estimators in Constrained Estimation Problems. CoRR. abs/1609.07415
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2016.
Sensing-aware classification with high-dimensional data. Proceedings of the {IEEE} International Conference on Acoustics, Speech, and Signal Processing, {ICASSP} 2011, May 22-27, 2011, Prague Congress Center, Prague, Czech Republic. :3700–3703.
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2011.
Sensing structure in learning-based binary classification of high-dimensional data. 49th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2011, Allerton Park {&} Retreat Center, Monticello, IL, USA, 28-30 September, 2011. :1521–1528.
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2011.
Sparse Signal Processing With Linear and Nonlinear Observations: A Unified Shannon-Theoretic Approach. {IEEE} Trans. Information Theory. 63:749–776.
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2017.
Sparse Recovery with Linear and Nonlinear Observations: Dependent and Noisy Data. CoRR. abs/1403.3109
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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.
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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.
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2014.
Compressive sensing bounds through a unifying framework for sparse models. {IEEE} International Conference on Acoustics, Speech and Signal Processing, {ICASSP} 2013, Vancouver, BC, Canada, May 26-31, 2013. :5524–5528.
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2013.
Sparse signal processing with linear and non-linear observations: A unified shannon theoretic approach. 2013 {IEEE} Information Theory Workshop, {ITW} 2013, Sevilla, Spain, September 9-13, 2013. :1–5.
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2013.
Clustering and Community Detection with Imbalanced Clusters. CoRR. abs/1608.07605
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2016.
Sample complexity of salient feature identification for sparse signal processing. {IEEE} Statistical Signal Processing Workshop, {SSP} 2012, Ann Arbor, MI, USA, August 5-8, 2012. :329–332.
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2012.
Clustering and Community Detection With Imbalanced Clusters. {IEEE} Trans. Signal and Information Processing over Networks. 3:61–76.
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2017.
Connected Subgraph Detection with Mirror Descent on SDPs. {ICML}. 70:51–59.
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2017.
Non-Adaptive Group Testing: Explicit Bounds and Novel Algorithms. {IEEE} Trans. Information Theory. 60:3019–3035.
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2014.
Non-adaptive probabilistic group testing with noisy measurements: Near-optimal bounds with efficient algorithms. 49th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2011, Allerton Park {&} Retreat Center, Monticello, IL, USA, 28-30 September, 2011. :1832–1839.
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2011.
Stochastic threshold group testing. 2013 {IEEE} Information Theory Workshop, {ITW} 2013, Sevilla, Spain, September 9-13, 2013. :1–5.
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2013.
Near-Optimal Stochastic Threshold Group Testing. CoRR. abs/1304.6027
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2013.
Non-adaptive group testing: Explicit bounds and novel algorithms. Proceedings of the 2012 {IEEE} International Symposium on Information Theory, {ISIT} 2012, Cambridge, MA, USA, July 1-6, 2012. :1837–1841.
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2012.
A combined approach to multi-label multi-task learning. {IEEE} Statistical Signal Processing Workshop, {SSP} 2012, Ann Arbor, MI, USA, August 5-8, 2012. :616–619.
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2012.