-
1
-
-
33748603939
-
On spectral learning of mixtures of distributions
-
D. Achlioptas and F. McSherry. On spectral learning of mixtures of distributions. In COLT, 2005.
-
(2005)
COLT
-
-
Achlioptas, D.1
Mcsherry, F.2
-
2
-
-
0036495139
-
Strong converse for identification via quantum channels
-
R. Ahlswede and A. Winter. Strong converse for identification via quantum channels. IEEE Transactions on Information Theory, 48(3):569-579, 2002.
-
(2002)
IEEE Transactions on Information Theory
, vol.48
, Issue.3
, pp. 569-579
-
-
Ahlswede, R.1
Winter, A.2
-
3
-
-
0034830274
-
Learning mixtures of arbitrary gaussians
-
S. Arora and R. Kannan. Learning mixtures of arbitrary Gaussians. In STOC, 2001.
-
(2001)
STOC
-
-
Arora, S.1
Kannan, R.2
-
4
-
-
78751519918
-
Polynomial learning of distribution families
-
M. Belkin and K. Sinha. Polynomial learning of distribution families. In FOCS, 2010.
-
(2010)
FOCS
-
-
Belkin, M.1
Sinha, K.2
-
5
-
-
51949086515
-
Correlational spectral clustering
-
M. B. Blaschko and C. H. Lampert. Correlational spectral clustering. In CVPR, 2008.
-
(2008)
CVPR
-
-
Blaschko, M.B.1
Lampert, C.H.2
-
7
-
-
57949105623
-
Isotropic PCA and affine-invariant clustering
-
S. C. Brubaker and S. Vempala. Isotropic PCA and affine-invariant clustering. In FOCS, 2008.
-
(2008)
FOCS
-
-
Brubaker, S.C.1
Vempala, S.2
-
8
-
-
0030588055
-
Full reconstruction of markov models on evolutionary trees: Identifiability and consistency
-
J. T. Chang. Full reconstruction of Markov models on evolutionary trees: Identifiability and consistency. Mathematical Biosciences, 137:51-73, 1996.
-
(1996)
Mathematical Biosciences
, vol.137
, pp. 51-73
-
-
Chang, J.T.1
-
9
-
-
84898062517
-
Learning mixtures of product distributions using correlations and independence
-
K. Chaudhuri and S. Rao. Learning mixtures of product distributions using correlations and independence. In COLT, 2008.
-
(2008)
COLT
-
-
Chaudhuri, K.1
Rao, S.2
-
11
-
-
84863403791
-
Learning mixutres of gaussians
-
S. Dasgupta. Learning mixutres of Gaussians. In FOCS, 1999.
-
(1999)
FOCS
-
-
Dasgupta, S.1
-
12
-
-
0037236821
-
An elementary proof of a theorem of johnson and lindenstrauss
-
S. Dasgupta and A. Gupta. An elementary proof of a theorem of Johnson and Lindenstrauss. Random Structures and Algorithms, 22(1):60-65, 2003.
-
(2003)
Random Structures and Algorithms
, vol.22
, Issue.1
, pp. 60-65
-
-
Dasgupta, S.1
Gupta, A.2
-
13
-
-
33847128516
-
A probabilistic analysis of EM for mixtures of separated, spherical gaussians
-
Feb
-
S. Dasgupta and L. Schulman. A probabilistic analysis of EM for mixtures of separated, spherical Gaussians. Journal of Machine Learning Research, 8(Feb):203-226, 2007.
-
(2007)
Journal of Machine Learning Research
, vol.8
, pp. 203-226
-
-
Dasgupta, S.1
Schulman, L.2
-
14
-
-
33746050575
-
Learning mixtures of product distributions over discrete domains
-
J. Feldman, R. O'Donnell, and R. Servedio. Learning mixtures of product distributions over discrete domains. In FOCS, 2005.
-
(2005)
FOCS
-
-
Feldman, J.1
O'Donnell, R.2
Servedio, R.3
-
15
-
-
55249083012
-
PAC learning mixtures of axis-aligned gaussians with no separation assumption
-
J. Feldman, R. O'Donnell, and R. Servedio. PAC learning mixtures of axis-aligned Gaussians with no separation assumption. In COLT, 2006.
-
(2006)
COLT
-
-
Feldman, J.1
O'Donnell, R.2
Servedio, R.3
-
20
-
-
84898066687
-
A spectral algorithm for learning hidden markov models
-
D. Hsu, S. M. Kakade, and T. Zhang. A spectral algorithm for learning hidden Markov models. In COLT, 2009.
-
(2009)
COLT
-
-
Hsu, D.1
Kakade, S.M.2
Zhang, T.3
-
22
-
-
0042826822
-
Independent component analysis: Algorithms and applications
-
A. Hyv̈arinen and E. Oja. Independent component analysis: Algorithms and applications. Neural Networks, 13(4-5):411-430, 2000.
-
(2000)
Neural Networks
, vol.13
, Issue.4-5
, pp. 411-430
-
-
Hyv̈arinen, A.1
Oja, E.2
-
23
-
-
0034198996
-
Observable operator models for discrete stochastic time series
-
H. Jaeger. Observable operator models for discrete stochastic time series. Neural Computation, 12 (6), 2000.
-
(2000)
Neural Computation
, vol.12
, Issue.6
-
-
Jaeger, H.1
-
24
-
-
77954731171
-
Efficiently learning mixtures of two gaussians
-
A. T. Kalai, A. Moitra, and G. Valiant. Efficiently learning mixtures of two Gaussians. In STOC, 2010.
-
(2010)
STOC
-
-
Kalai, A.T.1
Moitra, A.2
Valiant, G.3
-
25
-
-
33746066585
-
The spectral method for general mixture models
-
R. Kannan, H. Salmasian, and S. Vempala. The spectral method for general mixture models. In COLT, 2005.
-
(2005)
COLT
-
-
Kannan, R.1
Salmasian, H.2
Vempala, S.3
-
26
-
-
0001402114
-
Moment matrices: Applications in mixtures
-
B. G. Lindsay. Moment matrices: Applications in mixtures. Annals of Statistics, 17(2):722-740, 1989.
-
(1989)
Annals of Statistics
, vol.17
, Issue.2
, pp. 722-740
-
-
Lindsay, B.G.1
-
29
-
-
0035186726
-
Spectral partitioning of random graphs
-
F. McSherry. Spectral partitioning of random graphs. In FOCS, 2001.
-
(2001)
FOCS
-
-
Mcsherry, F.1
-
30
-
-
78751527010
-
Settling the polynomial learnability of mixtures of gaussians
-
A. Moitra and G. Valiant. Settling the polynomial learnability of mixtures of Gaussians. In FOCS, 2010.
-
(2010)
FOCS
-
-
Moitra, A.1
Valiant, G.2
-
31
-
-
33746918412
-
Learning nonsingular phylogenies and hidden markov models
-
E. Mossel and S. Roch. Learning nonsingular phylogenies and hidden Markov models. Annals of Applied Probability, 16(2):583-614, 2006.
-
(2006)
Annals of Applied Probability
, vol.16
, Issue.2
, pp. 583-614
-
-
Mossel, E.1
Roch, S.2
-
32
-
-
64249149689
-
Learning a parallelepiped: Cryptanalysis of GGH and NTRU signatures
-
P. Q. Nguyen and O. Regev. Learning a parallelepiped: Cryptanalysis of GGH and NTRU signatures. Journal of Cryptology, 22(2):139-160, 2009.
-
(2009)
Journal of Cryptology
, vol.22
, Issue.2
, pp. 139-160
-
-
Nguyen, P.Q.1
Regev, O.2
-
35
-
-
0021404166
-
Mixture densities, maximum likelihood and the EM algorithm
-
R. A. Redner and H. F. Walker. Mixture densities, maximum likelihood and the EM algorithm. SIAM Review, 26(2):195-239, 1984.
-
(1984)
SIAM Review
, vol.26
, Issue.2
, pp. 195-239
-
-
Redner, R.A.1
Walker, H.F.2
-
36
-
-
50549180615
-
On the definition of a family of automata
-
M. P. Scḧutzenberger. On the definition of a family of automata. Information and Control, 4: 245-270, 1961.
-
(1961)
Information and Control
, vol.4
, pp. 245-270
-
-
Scḧutzenberger, M.P.1
-
39
-
-
0036957867
-
A spectral algorithm for learning mixtures of distributions
-
S. Vempala and G. Wang. A spectral algorithm for learning mixtures of distributions. In FOCS, 2002.
-
(2002)
FOCS
-
-
Vempala, S.1
Wang, G.2
-
40
-
-
84938533326
-
Introduction to the non-asymptotic analysis of random matrices
-
Y. Eldar and G. Kutyniok, editors, chapter 5, Cambridge University Press
-
R. Vershynin. Introduction to the non-asymptotic analysis of random matrices. In Y. Eldar and G. Kutyniok, editors, Compressed Sensing, Theory and Applications, chapter 5, pages 210-268. Cambridge University Press, 2012.
-
(2012)
Compressed Sensing, Theory and Applications
, pp. 210-268
-
-
Vershynin, R.1
|