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- Anandkumar, Animashree and Ge, Rong, et el. (2014) A Tensor Approach to Learning Mixed Membership Community Models; Journal of Machine Learning Research; Vol. 15; 2239-2312; 10.48550/arXiv.1302.2684
- Sattari, Pegah and Kurant, Maciej, et el. (2014) Active Learning of Multiple Source Multiple Destination Topologies; IEEE Transactions on Signal Processing; Vol. 62; No. 8; 1926-1937; 10.1109/TSP.2014.2304431
- Janzamin, Majid and Anandkumar, Animashree (2014) High-Dimensional Covariance Decomposition into Sparse Markov and Independence Models; Journal of Machine Learning Research; Vol. 15; 1549-1591; 10.48550/arXiv.1211.0919
- Anandkumar, Animashree and He, Ting, et el. (2013) Seeing through black boxes: Tracking transactions through queues under monitoring resource constraints; Performance Evaluation; Vol. 70; No. 12; 1090-1110; 10.1016/j.peva.2013.08.003
- Anandkumar, Animashree and Hassidim, Avinatan, et el. (2013) Topology discovery of sparse random graphs with few participants; Random Structures & Algorithms; Vol. 43; No. 1; 16-48; 10.1002/rsa.20420
- Anandkumar, Amod J. G. and Anandkumar, Animashree, et el. (2013) Robust noncooperative rate-maximization game for MIMO Gaussian interference channels under bounded channel uncertainty; ISBN 978-1-4799-0356-6; 2013 IEEE International Conference on Acoustics, Speech and Signal Processing; 4819-4823; 10.1109/ICASSP.2013.6638576
- Huang, Furong and Anandkumar, Animashree (2013) FCD: Fast-concurrent-distributed load balancing under switching costs and imperfect observations; ISBN 978-1-4673-5944-3; 2013 Proceedings IEEE INFOCOM; 1896-1904; 10.1109/INFCOM.2013.6566989
- Sattari, Pegah and Kurant, Maciej, et el. (2013) Active learning of multiple source multiple destination topologies; ISBN 978-1-4673-5237-6; 47th Annual Conference on Information Sciences and Systems; 1-6; 10.1109/CISS.2013.6552253
- Anandkumar, Animashree and Valluvan, Ragupathyraj (2013) Learning loopy graphical models with latent variables: Efficient methods and guarantees; Annals of Statistics; Vol. 41; No. 2; 401-435; 10.48550/arXiv.1203.3887
- Anandkumar, Anima and Valluvan, Ragupathyraj (2012) Latent Graphical Model Selection: Efficient Methods for Locally Tree-like Graphs; ISBN 9781627480031; Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012, NIPS 2012; 1-9
- Anandkumar, Anima and Foster, Dean P., et el. (2012) A Spectral Algorithm for Latent Dirichlet Allocation
- Anandkumar, Animashree and Tan, Vincent Y. F., et el. (2012) High-Dimensional Gaussian Graphical Model Selection: Walk Summability and Local Separation Criterion; Journal of Machine Learning Research; Vol. 13; 2293-2337; 10.48550/arXiv.1107.1270
- Liu, Ying and Chandrasekaran, Venkat, et el. (2012) Feedback Message Passing for Inference in Gaussian Graphical Models; IEEE Transactions on Signal Processing; Vol. 60; No. 8; 4135-4150; 10.1109/TSP.2012.2195656
- Anandkumar, Animashree and Tan, Vincent Y. F., et el. (2012) High-dimensional structure estimation in Ising models: Local separation criterion; Annals of Statistics; Vol. 40; No. 3; 1346-1375; 10.48550/arXiv.1107.1736
- Anandkumar, Animashree and Chaudhuri, Kamalika, et el. (2011) Spectral Methods for Learning Multivariate Latent Tree Structure; ISBN 9781618395993; Advances in neural information processing systems 24 : 25th Annual Conference on Neural Information Processing Systems 2011, December 12-15, 2011, Granada, Spain; 1-9
- Anandkumar, Animashree and Hsu, Daniel, et el. (2011) Learning Mixtures of Tree Graphical Models; ISBN 9781618395993; Advances in neural information processing systems 24 : 25th Annual Conference on Neural Information Processing Systems 2011; 1-9
- Anandkumar, Anima and Tan, Voncent Y. F., et el. (2011) High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions; ISBN 9781618395993; Advances in neural information processing systems 24 : 25th Annual Conference on Neural Information Processing Systems 2011, December 12-15, 2011, Granada, Spain; 1-9
- Anandkumar, Amod J. G. and Anandkumar, Animashree, et el. (2011) Robust Rate Maximization Game Under Bounded Channel Uncertainty; IEEE Transactions on Vehicular Technology; Vol. 60; No. 9; 4471-4486; 10.1109/TVT.2011.2171011
- Anandkumar, Animashree and Chaudhuri, Kamalika, et el. (2011) Spectral Methods for Learning Multivariate Latent Tree Structure; 10.48550/arXiv.1107.1283
- Khajehnejad, M. Amin and Yoo, Juhwan, et el. (2011) Summary Based Structures with Improved Sublinear Recovery for Compressed Sensing; ISBN 978-1-4577-0596-0; 2011 IEEE International Symposium on Information Theory Proceedings; 1427-1431; 10.1109/ISIT.2011.6033775
- Tan, Vincent Y. F. and Anandkumar, Animashree, et el. (2011) Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates; Journal of Machine Learning Research; Vol. 12; 1617-1653; 10.48550/arXiv.1005.0766
- Choi, Myung Jin and Tan, Vincent Y. F., et el. (2011) Learning Latent Tree Graphical Models; Journal of Machine Learning Research; Vol. 12; 1771-1812; 10.48550/arXiv.1009.2722
- Balister, Paul and Bollobás, Béla, et el. (2011) Energy-latency tradeoff for in-network function computation in random networks; ISBN 978-1-4244-9919-9; 2011 Proceedings IEEE INFOCOM; 1575-1583; 10.1109/INFCOM.2011.5934949
- He, Ting and Anandkumar, Animashree, et el. (2011) Index-based sampling policies for tracking dynamic networks under sampling constraints; ISBN 978-1-4244-9919-9; 2011 Proceedings IEEE INFOCOM; 1233-1241; 10.1109/INFCOM.2011.5934904
- Anandkumar, Animashree and Michael, Nithin, et el. (2011) Distributed Algorithms for Learning and Cognitive Medium Access with Logarithmic Regret; IEEE Journal on Selected Areas in Communications; Vol. 29; No. 4; 731-745; 10.1109/JSAC.2011.110406
- Tan, Vincent Y. F. and Anandkumar, Animashree, et el. (2011) A Large-Deviation Analysis of the Maximum-Likelihood Learning of Markov Tree Structures; IEEE Transactions on Information Theory; Vol. 57; No. 3; 1714-1735; 10.1109/TIT.2011.2104513
- Anandkumar, Amod J. G. and Anandkumar, Animashree, et el. (2010) Efficiency of rate-maximization game under bounded channel uncertainty; ISBN 978-1-4244-9722-5; 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers; 482-486; 10.1109/ACSSC.2010.5757605
- Anandkumar, Animashree and Yukich, Joseph, et el. (2010) Limit laws for random spatial graphical models; ISBN 978-1-4244-7890-3; 2010 IEEE International Symposium on Information Theory; 1728-1732; 10.1109/ISIT.2010.5513254
- Liu, Ying and Chandrasekaran, Venkat, et el. (2010) Feedback Message Passing for Inference in Gaussian Graphical Models; ISBN 978-1-4244-6960-4; 2010 IEEE International Symposium on Information Theory Proceedings (ISIT); 1683-1687; 10.1109/ISIT.2010.5513321
- Tan, Vincent Y. F. and Anandkumar, Animashree, et el. (2010) Error exponents for composite hypothesis testing of Markov forest distributions; ISBN 978-1-4244-7890-3; 2010 IEEE International Symposium on Information Theory; 1613-1617; 10.1109/ISIT.2010.5513399
- Tan, Vincent Y. F. and Anandkumar, Animashree, et el. (2010) Learning Gaussian Tree Models: Analysis of Error Exponents and Extremal Structures; IEEE Transactions on Signal Processing; Vol. 58; No. 5; 2701-2714; 10.1109/TSP.2010.2042478
- Anandkumar, Amod J. G. and Anandkumar, Animashree, et el. (2010) Robust rate-maximization game under bounded channel uncertainty; ISBN 978-1-4244-4295-9; 2010 IEEE International Conference on Acoustics, Speech and Signal Processing; 3158-3161; 10.1109/ICASSP.2010.5496066
- Anandkumar, Animashree and Michael, Nithin, et el. (2010) Opportunistic Spectrum Access with Multiple Users: Learning under Competition; ISBN 978-1-4244-5836-3; 2010 Proceedings IEEE INFOCOM; 1-9; 10.1109/INFCOM.2010.5462144
- Tan, Vincent Y. F. and Anandkumar, Animashree, et el. (2009) How do the structure and the parameters of Gaussian tree models affect structure learning?; ISBN 978-1-4244-5870-7; 47th Annual Allerton Conference on Communication, Control, and Computing; 684-691; 10.1109/ALLERTON.2009.5394929
- Anandkumar, Animashree and Yukich, Joseph E., et el. (2009) Energy scaling laws for distributed inference in random fusion networks; IEEE Journal on Selected Areas in Communications; Vol. 27; No. 7; 1203-1217; 10.1109/JSAC.2009.090916
- Tan, Vincent Y. F. and Anandkumar, Animashree, et el. (2009) A large-deviation analysis for the maximum likelihood learning of tree structures; ISBN 978-1-4244-4312-3; 2009 IEEE International Symposium on Information Theory; 1140-1144; 10.1109/ISIT.2009.5206012
- Anandkumar, Animashree and Tong, Lang, et el. (2009) Detection error exponent for spatially dependent samples in random networks; ISBN 978-1-4244-4312-3; 2009 IEEE International Symposium on Information Theory; 2882-2886; 10.1109/ISIT.2009.5205358
- Anandkumar, Animashree and Wang, Meng, et el. (2009) Prize-Collecting Data Fusion for Cost-Performance Tradeoff in Distributed Inference; ISBN 978-1-4244-3512-8; 28th IEEE Conference on Computer Communications; 2150-2158; 10.1109/INFCOM.2009.5062139
- Anandkumar, Animashree and Tong, Lang, et el. (2009) Detection of Gauss-Markov Random Fields With Nearest-Neighbor Dependency; IEEE Transactions on Information Theory; Vol. 55; No. 2; 816-827; 10.1109/TIT.2008.2009855
- Anandkumar, Animashree and Tong, Lang, et el. (2008) Optimal Node Density for Detection in Energy-Constrained Random Networks; IEEE Transactions on Signal Processing; Vol. 56; No. 10; 5232-5245; 10.1109/TSP.2008.928514
- Ezovski, G. Matthew and Anandkumar, Animashree, et el. (2008) Min-min times in peer-to-peer file sharing networks; ISBN 978-1-4244-2925-7; 46th Annual Allerton Conference on Communication, Control, and Computing; 1487-1494; 10.1109/ALLERTON.2008.4797738
- Anandkumar, Animashree and Tong, Lang, et el. (2008) Distributed Estimation Via Random Access; IEEE Transactions on Information Theory; Vol. 54; No. 7; 3175-3181; 10.1109/TIT.2008.924652
- Anandkumar, Animashree and Bisdikian, Chatschik, et el. (2008) Tracking in a spaghetti bowl: monitoring transactions using footprints; ISBN 978-1-60558-005-0; Proceedings of the 2008 ACM SIGMETRICS international conference on measurement and modeling of computer systems; 133-144; 10.1145/1375457.1375473
- Sengupta, Bikram and Banerjee, Nilanjan, et el. (2008) Non-intrusive transaction monitoring using system logs; ISBN 978-1-4244-2065-0; 2008 IEEE Network Operations and Management Symposium; 879-882; 10.1109/NOMS.2008.4575237
- Anandkumar, Animashree and Tong, Lang, et el. (2008) Minimum Cost Data Aggregation with Localized Processing for Statistical Inference; ISBN 978-1-4244-2025-4; 27th IEEE Conference on Computer Communications; 1454-1462; 10.1109/INFOCOM.2008.129
- Anandkumar, Animashree and Tong, Lang (2007) Type-Based Random Access for Distributed Detection Over Multiaccess Fading Channels; IEEE Transactions on Signal Processing; Vol. 55; No. 10; 5032-5043; 10.1109/TSP.2007.896302
- Anandkumar, Animashree and Tong, Lang, et el. (2007) Detection of Gauss-Markov Random Field on Nearest-Neighbor Graph; ISBN 1-4244-0727-3; 2007 IEEE International Conference on Acoustics, Speech and Signal Processing; 829-832; 10.1109/ICASSP.2007.366808
- Anandkumar, Animashree and Tong, Lang, et el. (2007) Energy Efficient Routing for Statistical Inference of Markov Random Fields; ISBN 9781424410361; 2007 41st annual conference on information sciences and systems : Baltimore, MD, 14-16 March, 2007.; 643-648; 10.1109/CISS.2007.4298386
- Anandkumar, Animashree and Tong, Lang (2006) A Large Deviation Analysis of Detection Over Multi-Access Channels with Random Number of Sensors; ISBN 1-4244-0469-X; 2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings; 1097-1100; 10.1109/ICASSP.2006.1661164
- Anandkumar, Animashree and Tong, Lang (2006) Distributed Statistical Inference using Type Based Random Access over Multi-access Fading Channels; ISBN 1-4244-0349-9; 2006 40th Annual Conference on Information Sciences and Systems; 38-43; 10.1109/CISS.2006.286427