Anima Anandkumar
Anima Anandkumar
在 caltech.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Tensor decompositions for learning latent variable models
A Anandkumar, R Ge, D Hsu, SM Kakade, M Telgarsky
arXiv preprint arXiv:1210.7559 64, 70-72, 0
1036*
Born again neural networks
T Furlanello, Z Lipton, M Tschannen, L Itti, A Anandkumar
International Conference on Machine Learning, 1607-1616, 2018
4552018
signSGD: Compressed optimisation for non-convex problems
J Bernstein, YX Wang, K Azizzadenesheli, A Anandkumar
International Conference on Machine Learning, 560-569, 2018
399*2018
Stochastic activation pruning for robust adversarial defense
GS Dhillon, K Azizzadenesheli, ZC Lipton, J Bernstein, J Kossaifi, ...
arXiv preprint arXiv:1803.01442, 2018
3392018
A method of moments for mixture models and hidden Markov models
A Anandkumar, D Hsu, SM Kakade
Conference on Learning Theory, 33.1-33.34, 2012
3322012
Distributed algorithms for learning and cognitive medium access with logarithmic regret
A Anandkumar, N Michael, AK Tang, A Swami
IEEE Journal on Selected Areas in Communications 29 (4), 731-745, 2011
3202011
A spectral algorithm for latent dirichlet allocation
A Anandkumar, DP Foster, D Hsu, SM Kakade, YK Liu
Algorithmica 72 (1), 193-214, 2015
2932015
Non-convex robust PCA
P Netrapalli, UN Niranjan, S Sanghavi, A Anandkumar, P Jain
arXiv preprint arXiv:1410.7660, 2014
2772014
Learning latent tree graphical models
MJ Choi, VYF Tan, A Anandkumar, AS Willsky
Journal of Machine Learning Research 12, 1771-1812, 2011
2562011
A tensor spectral approach to learning mixed membership community models
A Anandkumar, R Ge, D Hsu, S Kakade
Conference on Learning Theory, 867-881, 2013
2552013
Deep active learning for named entity recognition
Y Shen, H Yun, ZC Lipton, Y Kronrod, A Anandkumar
arXiv preprint arXiv:1707.05928, 2017
2522017
Beating the perils of non-convexity: Guaranteed training of neural networks using tensor methods
M Janzamin, H Sedghi, A Anandkumar
arXiv preprint arXiv:1506.08473, 2015
2282015
Opportunistic spectrum access with multiple users: Learning under competition
A Anandkumar, N Michael, A Tang
2010 Proceedings IEEE INFOCOM, 1-9, 2010
1832010
Tensorly: Tensor learning in python
J Kossaifi, Y Panagakis, A Anandkumar, M Pantic
arXiv preprint arXiv:1610.09555, 2016
1752016
Learning sparsely used overcomplete dictionaries via alternating minimization
A Agarwal, A Anandkumar, P Jain, P Netrapalli
SIAM Journal on Optimization 26 (4), 2775-2799, 2016
1612016
Efficient approaches for escaping higher order saddle points in non-convex optimization
A Anandkumar, R Ge
Conference on learning theory, 81-102, 2016
1342016
High-dimensional structure estimation in Ising models: Local separation criterion
A Anandkumar, VYF Tan, F Huang, AS Willsky
The Annals of Statistics, 1346-1375, 2012
133*2012
Neural lander: Stable drone landing control using learned dynamics
G Shi, X Shi, M O’Connell, R Yu, K Azizzadenesheli, A Anandkumar, ...
2019 International Conference on Robotics and Automation (ICRA), 9784-9790, 2019
1182019
Fast and guaranteed tensor decomposition via sketching
Y Wang, HY Tung, A Smola, A Anandkumar
arXiv preprint arXiv:1506.04448, 2015
1172015
Guaranteed Non-Orthogonal Tensor Decomposition via Alternating Rank- Updates
A Anandkumar, R Ge, M Janzamin
arXiv preprint arXiv:1402.5180, 2014
1172014
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