Year |
Citation |
Score |
2017 |
Agarwal A, Anandkumar A, Netrapalli P. A Clustering Approach to Learning Sparsely Used Overcomplete Dictionaries Ieee Transactions On Information Theory. 63: 575-592. DOI: 10.1109/Tit.2016.2614684 |
0.307 |
|
2016 |
Agarwal A, Anandkumar A, Jain P, Netrapalli P. Learning Sparsely Used Overcomplete Dictionaries via Alternating Minimization Siam Journal On Optimization. 26: 2775-2799. DOI: 10.1137/140979861 |
0.357 |
|
2013 |
Anandkumar A, Valluvan R. Learning loopy graphical models with latent variables: Efficient methods and guarantees Annals of Statistics. 41: 401-435. DOI: 10.1214/12-Aos1070 |
0.433 |
|
2013 |
Sattari P, Kurant M, Anandkumar A, Markopoulou A, Rabbat M. Active learning of multiple source multiple destination topologies 2013 47th Annual Conference On Information Sciences and Systems, Ciss 2013. DOI: 10.1109/Tsp.2014.2304431 |
0.301 |
|
2013 |
Anandkumar A, He T, Bisdikian C, Agrawal D. Seeing through black boxes: Tracking transactions through queues under monitoring resource constraints Performance Evaluation. 70: 1090-1110. DOI: 10.1016/J.Peva.2013.08.003 |
0.477 |
|
2012 |
Anandkumar A, Tan VYF, Huang F, Willsky AS. High-dimensional structure estimation in ising models: Local separation criterion Annals of Statistics. 40: 1346-1375. DOI: 10.1214/12-Aos1009 |
0.413 |
|
2012 |
Liu Y, Chandrasekaran V, Anandkumar A, Willsky AS. Feedback message passing for inference in gaussian graphical models Ieee Transactions On Signal Processing. 60: 4135-4150. DOI: 10.1109/Tsp.2012.2195656 |
0.429 |
|
2012 |
Anandkumar A, Valluvan R. Latent graphical model selection: Efficient methods for locally tree-like graphs Advances in Neural Information Processing Systems. 2: 1043-1051. |
0.34 |
|
2011 |
Anandkumar AJG, Anandkumar A, Lambotharan S, Chambers JA. Robust rate maximization game under bounded channel uncertainty Ieee Transactions On Vehicular Technology. 60: 4471-4486. DOI: 10.1109/Tvt.2011.2171011 |
0.368 |
|
2011 |
Tan VYF, Anandkumar A, Tong L, Willsky AS. A large-deviation analysis of the maximum-likelihood learning of markov tree structures Ieee Transactions On Information Theory. 57: 1714-1735. DOI: 10.1109/Tit.2011.2104513 |
0.583 |
|
2011 |
Anandkumar A, Michael N, Tang AK, Swami A. Distributed algorithms for learning and cognitive medium access with logarithmic regret Ieee Journal On Selected Areas in Communications. 29: 731-745. DOI: 10.1109/Jsac.2011.110406 |
0.378 |
|
2011 |
Anandkumar A, Hassidim A, Kelner J. Topology discovery of sparse random graphs with few participants Performance Evaluation Review. 39: 293-304. DOI: 10.1002/Rsa.20420 |
0.374 |
|
2010 |
Tan VYF, Anandkumar A, Willsky AS. Learning gaussian tree models: Analysis of error exponents and extremal structures Ieee Transactions On Signal Processing. 58: 2701-2714. DOI: 10.1109/Tsp.2010.2042478 |
0.429 |
|
2010 |
Liu Y, Chandrasekaran V, Anandkumar A, Willsky AS. Feedback message passing for inference in Gaussian graphical models Ieee International Symposium On Information Theory - Proceedings. 1683-1687. DOI: 10.1109/ISIT.2010.5513321 |
0.312 |
|
2010 |
Anandkumar AJG, Anandkumar A, Lambotharan S, Chambers J. Robust rate-maximization game under bounded channel uncertainty Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 3158-3161. DOI: 10.1109/ICASSP.2010.5496066 |
0.303 |
|
2009 |
Anandkumar A, Tong L, Swami A. Detection of Gauss-Markov random fields with nearest-neighbor dependency Ieee Transactions On Information Theory. 55: 816-827. DOI: 10.1109/Tit.2008.2009855 |
0.571 |
|
2009 |
Anandkumar A, Yukich JE, Tong L, Swami A. Energy scaling laws for distributed inference in random fusion networks Ieee Journal On Selected Areas in Communications. 27: 1203-1217. DOI: 10.1109/Jsac.2009.090916 |
0.561 |
|
2009 |
Anandkumar A, Wang M, Tong L, Swami A. Prize-collecting data fusion for cost-performance tradeoff in distributed inference Proceedings - Ieee Infocom. 2150-2158. DOI: 10.1109/INFCOM.2009.5062139 |
0.405 |
|
2008 |
Anandkumar A, Tong L, Swami A. Optimal node density for detection in energy-constrained random networks Ieee Transactions On Signal Processing. 56: 5232-5245. DOI: 10.1109/Tsp.2008.928514 |
0.582 |
|
2008 |
Anandkumar A, Tong L, Swami A. Distributed estimation via random access Ieee Transactions On Information Theory. 54: 3175-3181. DOI: 10.1109/Tit.2008.924652 |
0.591 |
|
2008 |
Anandkumar A, Tong L, Swami A, Ephremides A. Cost-performance tradeoff in multi-hop aggregation for statistical inference Ieee International Symposium On Information Theory - Proceedings. 662-666. DOI: 10.1109/ISIT.2008.4595069 |
0.43 |
|
2008 |
Anandkumar A, Tong L, Swamit A, Ephremides A. Minimum cost data aggregation with localized processing for statistical inference Proceedings - Ieee Infocom. 1454-1462. DOI: 10.1109/INFOCOM.2007.129 |
0.319 |
|
2007 |
Anandkumar A, Tong L. Type-based random access for distributed detection over multiaccess fading channels Ieee Transactions On Signal Processing. 55: 5032-5043. DOI: 10.1109/Tsp.2007.896302 |
0.582 |
|
2007 |
Anandkumar A, Tong L, Swami A. Detection of Gauss-Markov random field on nearest-neighbor graph Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 3. DOI: 10.1109/ICASSP.2007.366808 |
0.358 |
|
2007 |
Anandkumar A, Tong L, Swami A. Energy efficient routing for statistical inference of Markov random fields Forty-First Annual Conference On Information Sciences and Systems, Ciss 2007 - Proceedings. 643-648. DOI: 10.1109/CISS.2007.4298386 |
0.413 |
|
2007 |
Anandkumar A, Tong L. Distributed statistical inference using type based random access over multi-access fading channels 2006 Ieee Conference On Information Sciences and Systems, Ciss 2006 - Proceedings. 38-43. DOI: 10.1109/CISS.2006.286427 |
0.379 |
|
2007 |
Anandkumar A, Tong L, Swami A. Detection of gauss-markov random fields under routing energy constraint 45th Annual Allerton Conference On Communication, Control, and Computing 2007. 2: 1234-1238. |
0.357 |
|
2006 |
Anandkumar A, Tong L. A large deviation analysis of detection over multi-access channels with random number of sensors Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 4. |
0.353 |
|
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