Animashree Anandkumar

	2012
49		Animashree Anandkumar, Daniel Hsu, Sham M. Kakade: A Method of Moments for Mixture Models and Hidden Markov Models CoRR abs/1203.0683: (2012)
48		Animashree Anandkumar, Daniel Hsu, Sham M. Kakade: Learning High-Dimensional Mixtures of Graphical Models CoRR abs/1203.0697: (2012)
47		Animashree Anandkumar, Dean P. Foster, Daniel Hsu, Sham M. Kakade, Yi-Kai Liu: Two SVDs Suffice: Spectral decompositions for probabilistic topic modeling and latent Dirichlet allocation CoRR abs/1204.6703: (2012)
	2011
46		Ting He, Animashree Anandkumar, Dakshi Agrawal: Index-based sampling policies for tracking dynamic networks under sampling constraints. INFOCOM 2011: 1233-1241
45		Paul Balister, Béla Bollobás, Animashree Anandkumar, Alan S. Willsky: Energy-latency tradeoff for in-network function computation in random networks. INFOCOM 2011: 1575-1583
44		M. Amin Khajehnejad, Juhwan Yoo, Animashree Anandkumar, Babak Hassibi: Summary based structures with improved sublinear recovery for compressed sensing. ISIT 2011: 1427-1431
43		Animashree Anandkumar, Vincent Y. F. Tan, Alan S. Willsky: High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions. NIPS 2011: 1863-1871
42		Animashree Anandkumar, Kamalika Chaudhuri, Daniel Hsu, Sham M. Kakade, Le Song, Tong Zhang: Spectral Methods for Learning Multivariate Latent Tree Structure. NIPS 2011: 2025-2033
41		Animashree Anandkumar, Avinatan Hassidim, Jonathan A. Kelner: Topology discovery of sparse random graphs with few participants. SIGMETRICS 2011: 293-304
40		Paul N. Balister, Béla Bollobás, Animashree Anandkumar, Alan S. Willsky: Energy-Latency Tradeoff for In-Network Function Computation in Random Networks CoRR abs/1101.0858: (2011)
39		Animashree Anandkumar, Avinatan Hassidim, Jonathan A. Kelner: Topology Discovery of Sparse Random Graphs With Few Participants CoRR abs/1102.5063: (2011)
38		M. Amin Khajehnejad, Juhwan Yoo, Animashree Anandkumar, Babak Hassibi: Summary Based Structures with Improved Sublinear Recovery for Compressed Sensing CoRR abs/1102.5462: (2011)
37		Ying Liu, Venkat Chandrasekaran, Animashree Anandkumar, Alan S. Willsky: Feedback Message Passing for Inference in Gaussian Graphical Models CoRR abs/1105.1853: (2011)
36		Animashree Anandkumar, Vincent Y. F. Tan, Alan S. Willsky: High-Dimensional Gaussian Graphical Model Selection: Tractable Graph Families CoRR abs/1107.1270: (2011)
35		Animashree Anandkumar, Kamalika Chaudhuri, Daniel Hsu, Sham M. Kakade, Le Song, Tong Zhang: Spectral Methods for Learning Multivariate Latent Tree Structure CoRR abs/1107.1283: (2011)
34		Animashree Anandkumar, Vincent Y. F. Tan, Alan S. Willsky: High-Dimensional Structure Estimation in Ising Models: Tractable Graph Families CoRR abs/1107.1736: (2011)
33		Animashree Anandkumar, Nithin Michael, Ao Kevin Tang, Ananthram Swami: Distributed Algorithms for Learning and Cognitive Medium Access with Logarithmic Regret. IEEE Journal on Selected Areas in Communications 29(4): 731-745 (2011)
32		Vincent Y. F. Tan, Animashree Anandkumar, Lang Tong, Alan S. Willsky: A Large-Deviation Analysis of the Maximum-Likelihood Learning of Markov Tree Structures. IEEE Transactions on Information Theory 57(3): 1714-1735 (2011)
31		Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky: Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates. Journal of Machine Learning Research 12: 1617-1653 (2011)
30		Myung Jin Choi, Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky: Learning Latent Tree Graphical Models. Journal of Machine Learning Research 12: 1771-1812 (2011)
	2010
29		Amod J. G. Anandkumar, Animashree Anandkumar, Sangarapillai Lambotharan, Jonathon A. Chambers: Robust rate-maximization game under bounded channel uncertainty. ICASSP 2010: 3158-3161
28		Animashree Anandkumar, Nithin Michael, Ao Tang: Opportunistic Spectrum Access with Multiple Users: Learning under Competition. INFOCOM 2010: 803-811
27		Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky: Error exponents for composite hypothesis testing of Markov forest distributions. ISIT 2010: 1613-1617
26		Ying Liu, Venkat Chandrasekaran, Animashree Anandkumar, Alan S. Willsky: Feedback message passing for inference in gaussian graphical models. ISIT 2010: 1683-1687
25		Animashree Anandkumar, Joseph E. Yukich, Alan S. Willsky: Limit laws for random spatial graphical models. ISIT 2010: 1728-1732
24		Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky: Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates CoRR abs/1005.0766: (2010)
23		Animashree Anandkumar, Nithin Michael, Ao Kevin Tang, Ananthram Swami: Distributed Algorithms for Learning and Cognitive Medium Access with Logarithmic Regret CoRR abs/1006.1673: (2010)
22		Animashree Anandkumar, Ting He, Chatschik Bisdikian, Dakshi Agrawal: Seeing Through Black Boxes : Tracking Transactions through Queues under Monitoring Resource Constraints CoRR abs/1006.1674: (2010)
21		Myung Jin Choi, Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky: Learning Latent Tree Graphical Models CoRR abs/1009.2722: (2010)
20		Amod J. G. Anandkumar, Animashree Anandkumar, Sangarapillai Lambotharan, Jonathon A. Chambers: Robust Rate-Maximization Game Under Bounded Channel Uncertainty CoRR abs/1011.1566: (2010)
19		Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky: Learning Gaussian tree models: analysis of error exponents and extremal structures. IEEE Transactions on Signal Processing 58(5): 2701-2714 (2010)
	2009
18		Animashree Anandkumar, Meng Wang, Lang Tong, Ananthram Swami: Prize-Collecting Data Fusion for Cost-Performance Tradeoff in Distributed Inference. INFOCOM 2009: 2150-2158
17		Vincent Y. F. Tan, Animashree Anandkumar, Lang Tong, Alan S. Willsky: A large-deviation analysis for the maximum likelihood learning of tree structures. ISIT 2009: 1140-1144
16		Animashree Anandkumar, Alan S. Willsky, Lang Tong: Detection error exponent for spatially dependent samples in random networks. ISIT 2009: 2882-2886
15		Vincent Y. F. Tan, Animashree Anandkumar, Lang Tong, Alan S. Willsky: A Large-Deviation Analysis of the Maximum-Likelihood Learning of Markov Tree Structures CoRR abs/0905.0940: (2009)
14		Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky: Learning Gaussian Tree Models: Analysis of Error Exponents and Extremal Structures CoRR abs/0909.5216: (2009)
13		Animashree Anandkumar, Ananthram Swami, Joseph E. Yukich, Lang Tong: Energy Scaling Laws for Distributed Inference in Random Fusion Networks. IEEE Journal on Selected Areas in Communications 27(7): 1203-1217 (2009)
12		Animashree Anandkumar, Lang Tong, Ananthram Swami: Detection of Gauss-Markov Random Fields With Nearest-Neighbor Dependency. IEEE Transactions on Information Theory 55(2): 816-827 (2009)
11		Animashree Anandkumar, Chatschik Bisdikian, Ting He, Dakshi Agrawal: Selectively retrofitting monitoring in distributed systems. SIGMETRICS Performance Evaluation Review 37(2): 6-8 (2009)
	2008
10		Animashree Anandkumar, Lang Tong, Ananthram Swami, Anthony Ephremides: Minimum Cost Data Aggregation with Localized Processing for Statistical Inference. INFOCOM 2008: 780-788
9		Animashree Anandkumar, Lang Tong, Ananthram Swami, Anthony Ephremides: Cost-performance tradeoff in multi-hop aggregation for statistical inference. ISIT 2008: 662-666
8		Bikram Sengupta, Nilanjan Banerjee, Animashree Anandkumar, Chatschik Bisdikian: Non-intrusive transaction monitoring using system logs. NOMS 2008: 879-882
7		Animashree Anandkumar, Chatschik Bisdikian, Dakshi Agrawal: Tracking in a spaghetti bowl: monitoring transactions using footprints. SIGMETRICS 2008: 133-144
6		Animashree Anandkumar, Joseph E. Yukich, Lang Tong, Ananthram Swami: Energy Scaling Laws for Distributed Inference in Random Networks CoRR abs/0809.0686: (2008)
5		Animashree Anandkumar, Lang Tong, Ananthram Swami: Distributed Estimation Via Random Access. IEEE Transactions on Information Theory 54(7): 3175-3181 (2008)
4		Animashree Anandkumar, Lang Tong, Ananthram Swami: Optimal Node Density for Detection in Energy-Constrained Random Networks. IEEE Transactions on Signal Processing 56(10-2): 5232-5245 (2008)
	2007
3		Animashree Anandkumar, Lang Tong, Ananthram Swami: Energy Efficient Routing for Statistical Inference of Markov Random Fields. CISS 2007: 643-648
2		Animashree Anandkumar, Lang Tong, Ananthram Swami: Detection of Gauss-Markov Random Fields with Nearest-Neighbor Dependency CoRR abs/0706.1588: (2007)
1		Animashree Anandkumar, Lang Tong: Type-Based Random Access for Distributed Detection Over Multiaccess Fading Channels. IEEE Transactions on Signal Processing 55(10): 5032-5043 (2007)

Coauthor Index

1	Dakshi Agrawal	[7] [11] [22] [46]
2	Amod J. G. Anandkumar	[20] [29]
3	Paul N. Balister (Paul Balister)	[40] [45]
4	Nilanjan Banerjee	[8]
5	Chatschik Bisdikian	[7] [8] [11] [22]
6	Béla Bollobás	[40] [45]
7	Jonathon A. Chambers	[20] [29]
8	Venkat Chandrasekaran	[26] [37]
9	Kamalika Chaudhuri	[35] [42]
10	Myung Jin Choi	[21] [30]
11	Anthony Ephremides	[9] [10]
12	Dean P. Foster	[47]
13	Babak Hassibi	[38] [44]
14	Avinatan Hassidim	[39] [41]
15	Ting He	[11] [22] [46]
16	Daniel Hsu	[35] [42] [47] [48] [49]
17	Sham M. Kakade (Sham Kakade)	[35] [42] [47] [48] [49]
18	Jonathan A. Kelner	[39] [41]
19	M. Amin Khajehnejad	[38] [44]
20	Sangarapillai Lambotharan	[20] [29]
21	Yi-Kai Liu	[47]
22	Ying Liu	[26] [37]
23	Nithin Michael	[23] [28] [33]
24	Bikram Sengupta	[8]
25	Le Song	[35] [42]
26	Ananthram Swami	[2] [3] [4] [5] [6] [9] [10] [12] [13] [18] [23] [33]
27	Vincent Y. F. Tan	[14] [15] [17] [19] [21] [24] [27] [30] [31] [32] [34] [36] [43]
28	Ao Tang (Ao Kevin Tang)	[23] [28] [33]
29	Lang Tong	[1] [2] [3] [4] [5] [6] [9] [10] [12] [13] [15] [16] [17] [18] [32]
30	Meng Wang	[18]
31	Alan S. Willsky	[14] [15] [16] [17] [19] [21] [24] [25] [26] [27] [30] [31] [32] [34] [36] [37] [40] [43] [45]
32	Juhwan Yoo	[38] [44]
33	Joseph E. Yukich	[6] [13] [25]
34	Tong Zhang	[35] [42]

Colors in the list of coauthors

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