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Jordan, Michael Irwin

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Author ID: jordan.michael-irwin Recent zbMATH articles by "Jordan, Michael Irwin"
Published as: Jordan, Michael I.; Jordan, M. I.; Jordan, Michael
Further Spellings: Jordan Michael I.
Homepage: http://www.cs.berkeley.edu/~jordan/
External Links: MGP · Wikidata · Google Scholar · Math-Net.Ru · dblp · GND · IdRef
all top 5

Co-Authors

7 single-authored
21 Wainwright, Martin J.
8 Ramdas, Aaditya K.
6 Bach, Francis R.
6 Bartlett, Peter L.
6 Duchi, John C.
6 Jaakkola, Tommi Sakari
6 Zhang, Zhihua
5 Blei, David M.
5 Broderick, Tamara
5 Saul, Lawrence K.
4 Dai, Guang
4 Nguyen, XuanLong
4 Recht, Benjamin
3 Bhattacharyya, Chiranjib
3 El Alaoui, Ahmed
3 Ghahramani, Zoubin
3 Krzakąła, Florent
3 Lanckriet, Gert R. G.
3 Ma, Yian
3 Mackey, Lester
3 Mcauliffe, Jon D.
3 Pitman, Jim William
3 Wilson, Ashia C.
2 Chen, Jianbo
2 de Freitas, Nando
2 Dy, Jennifer G.
2 Flammarion, Nicolas
2 Fox, Emily B.
2 Fukumizu, Kenji
2 Ghanta, Sindhu
2 Grate, L. R.
2 Jaggi, Martin
2 Khamaru, Koulik
2 Lee, Jason D.
2 Lei, Lihua
2 Lindsten, Fredrik
2 Liu, Dehua
2 Ma, Chenxin
2 Mania, Horia
2 Mian, I. S.
2 Rabinovich, Maxim
2 Richtárik, Peter
2 Sarkar, Purnamrita
2 Schön, Thomas B.
2 Smith, Virginia
2 Sudderth, Erik B.
2 Takáč, Martin
2 Talwalkar, Ameet
2 Wibisono, Andre
2 Yang, Yun
2 Zdeborová, Lenka
2 Zhang, Yuchen
1 Agarwal, Alekh
1 Andrieu, Christophe
1 Barnard, Kobus
1 Barp, Alessandro
1 Beal, Matthew J.
1 Bissell, Mina J.
1 Boyd, Nicholas
1 Boyd, Stephen Poythress
1 Brooks, Dana H.
1 Chakrabarti, Deepayan
1 Chandrasekaran, Venkat
1 Chatterji, Niladri S.
1 Chen, Aiyou
1 Chen, Richard Yuhua
1 Chen, Xi
1 Chen, Yuansi
1 Cheng, Xiang
1 Cohn, D. A.
1 Cristianini, Nello
1 Da Costa, Lancelot
1 Darzacq, Xavier
1 d’Aspremont, Alexandre
1 Diakonikolas, Jelena
1 Doucet, Arnaud
1 Duygulu, Pınar
1 Dwivedi, Raaz
1 Fang, Cong
1 Farrell, Brendan
1 Forsyth, David A.
1 Forte, Simone
1 Foygel Barber, Rina
1 Franceschetti, Massimo
1 Friston, Karl J.
1 Gabitto, Mariano I.
1 Giordano, Ryan
1 Girolami, Mark A.
1 Griffiths, Thomas L.
1 Hastie, Trevor John
1 Heckerman, David E.
1 Ho, Nhat
1 Horváth, Samuel
1 Hsieh, Cho-Jui
1 Hughes, Michael C.
1 Jacobs, Robert A.
1 Jin, Chi
1 Johansson, Mikael
1 Kleiner, Ariel
1 Konečný, Jakub
...and 53 more Co-Authors

Publications by Year

Citations contained in zbMATH Open

98 Publications have been cited 2,937 times in 2,584 Documents Cited by Year
Latent Dirichlet allocation. Zbl 1112.68379
Blei, David M.; Ng, Andrew Y.; Jordan, Michael I.
325
2003
Graphical models, exponential families, and variational inference. Zbl 1193.62107
Wainwright, Martin J.; Jordan, Michael I.
267
2008
Kalman filtering with intermittent observations. Zbl 1365.93512
Sinopoli, Bruno; Schenato, Luca; Franceschetti, Massimo; Poolla, Kameshwar; Jordan, Michael I.; Sastry, Shankar S.
265
2004
Convexity, classification, and risk bounds. Zbl 1118.62330
Bartlett, Peter L.; Jordan, Michael I.; Mcauliffe, Jon D.
167
2006
Hierarchical Dirichlet processes. Zbl 1171.62349
Teh, Yee Whye; Jordan, Michael I.; Beal, Matthew J.; Blei, David M.
161
2006
Learning the kernel matrix with semidefinite programming. Zbl 1222.68241
Lanckriet, Gert R. G.; Cristianini, Nello; Bartlett, Peter; El Ghaoui, Laurent; Jordan, Michael I.
151
2004
A direct formulation for sparse PCA using semidefinite programming. Zbl 1128.90050
d’Aspremont, Alexandre; El Ghaoui, Laurent; Jordan, Michael I.; Lanckriet, Gert R. G.
127
2007
Kernel independent component analysis. Zbl 1088.68689
Bach, Francis R.; Jordan, Michael I.
119
2003
An introduction to MCMC for machine learning. Zbl 1033.68081
Andrieu, Christophe; de Freitas, Nando; Doucet, Arnaud; Jordan, Michael I.
107
2003
Variational inference for Dirichlet process mixtures. Zbl 1331.62259
Blei, David M.; Jordan, Michael I.
75
2006
Active learning with statistical models. Zbl 0900.68366
Cohn, D. A.; Ghahramani, Z.; Jordan, M. I.
66
1996
Kernel dimension reduction in regression. Zbl 1168.62049
Fukumizu, Kenji; Bach, Francis R.; Jordan, Michael I.
66
2009
Support union recovery in high-dimensional multivariate regression. Zbl 1373.62372
Obozinski, Guillaume; Wainwright, Martin J.; Jordan, Michael I.
65
2011
A robust minimax approach to classification. Zbl 1084.68657
Lanckriet, Gert R. G.; El Ghaoui, Laurent; Bhattacharyya, Chiranjib; Jordan, Michael I.
51
2003
Graphical models. Zbl 1057.62001
Jordan, Michael I.
48
2004
Dimensionality reduction for supervised learning with reproducing kernel Hilbert spaces. Zbl 1222.62069
Fukumizu, Kenji; Bach, Francis R.; Jordan, Michael I.
45
2004
On the convergence of stochastic iterative dynamic programming algorithms. Zbl 0822.68095
Jaakkola, Tommi; Jordan, Michael I.; Singh, Satinder P.
35
1994
A variational perspective on accelerated methods in optimization. Zbl 1404.90098
Wibisono, Andre; Wilson, Ashia C.; Jordan, Michael I.
35
2016
Particle Gibbs with ancestor sampling. Zbl 1319.60151
Lindsten, Fredrik; Jordan, Michael I.; Schön, Thomas B.
32
2014
A sticky HDP-HMM with application to speaker diarization. Zbl 1232.62077
Fox, Emily B.; Sudderth, Erik B.; Jordan, Michael I.; Willsky, Alan S.
31
2011
Estimating divergence functionals and the likelihood ratio by convex risk minimization. Zbl 1366.62071
Nguyen, XuanLong; Wainwright, Martin J.; Jordan, Michael I.
31
2010
Factorial hidden Markov models. Zbl 0892.68080
Ghahramani, Zoubin; Jordan, Michael I.
30
1997
Matrix concentration inequalities via the method of exchangeable pairs. Zbl 1294.60008
Mackey, Lester; Jordan, Michael I.; Chen, Richard Y.; Farrell, Brendan; Tropp, Joel A.
30
2014
An introduction to variational methods for graphical models. Zbl 0910.68175
Jordan, Michael I.; Ghahramani, Zoubin; Jaakkola, Tommi S.; Saul, Lawrence K.
27
1998
Machine learning: trends, perspectives, and prospects. Zbl 1355.68227
Jordan, M. I.; Mitchell, T. M.
27
2015
On the computational complexity of high-dimensional Bayesian variable selection. Zbl 1359.62088
Yang, Yun; Wainwright, Martin J.; Jordan, Michael I.
26
2016
Communication-efficient distributed statistical inference. Zbl 1420.62097
Jordan, Michael I.; Lee, Jason D.; Yang, Yun
26
2019
Optimal rates for zero-order convex optimization: the power of two function evaluations. Zbl 1359.90155
Duchi, John C.; Jordan, Michael I.; Wainwright, Martin J.; Wibisono, Andre
24
2015
The nested Chinese restaurant process and Bayesian nonparametric inference of topic hierarchies. Zbl 1327.68187
Blei, David M.; Griffiths, Thomas L.; Jordan, Michael I.
18
2010
Beta processes, stick-breaking and power laws. Zbl 1330.62218
Broderick, Tamara; Jordan, Michael I.; Pitman, Jim
18
2012
Learning spectral clustering, with application to speech separation. Zbl 1222.68138
Bach, Francis R.; Jordan, Michael I.
18
2006
Computational and statistical tradeoffs via convex relaxation. Zbl 1292.62019
Chandrasekaran, Venkat; Jordan, Michael I.
18
2013
First-order methods almost always avoid strict saddle points. Zbl 1415.90089
Lee, Jason D.; Panageas, Ioannis; Piliouras, Georgios; Simchowitz, Max; Jordan, Michael I.; Recht, Benjamin
18
2019
Matching words and pictures. Zbl 1061.68174
Barnard, Kobus; Duygulu, Pinar; Forsyth, David; de Freitas, Nando; Blei, David M.; Jordan, Michael I.
17
2003
Minimax optimal procedures for locally private estimation. Zbl 1398.62021
Duchi, John C.; Jordan, Michael I.; Wainwright, Martin J.
17
2018
Mean field theory for sigmoid belief networks. Zbl 0900.68379
Saul, L. K.; Jaakkola, T.; Jordan, M. I.
15
1996
Improving the mean field approximation via the use of mixture distributions. Zbl 0953.60100
Jaakkola, Tommi S.; Jordan, Michael I.
13
1998
Spectral methods meet EM: a provably optimal algorithm for crowdsourcing. Zbl 1367.68241
Zhang, Yuchen; Chen, Xi; Zhou, Dengyong; Jordan, Michael I.
13
2016
Feature allocations, probability functions, and paintboxes. Zbl 1329.62278
Broderick, Tamara; Pitman, Jim; Jordan, Michael I.
12
2013
Cluster and feature modeling from combinatorial stochastic processes. Zbl 1331.62124
Broderick, Tamara; Jordan, Michael I.; Pitman, Jim
12
2013
On surrogate loss functions and \(f\)-divergences. Zbl 1162.62060
Nguyen, Xuanlong; Wainwright, Martin J.; Jordan, Michael I.
12
2009
Log-determinant relaxation for approximate inference in discrete Markov random fields. Zbl 1374.94616
Wainwright, M. J.; Jordan, M. I.
12
2006
Bayesian semiparametric Wiener system identification. Zbl 1364.93831
Lindsten, Fredrik; Schön, Thomas B.; Jordan, Michael I.
11
2013
Learning with mixtures of trees. Zbl 1052.68116
Meilă, Marina; Jordan, Michael I.
11
2001
CoCoA: a general framework for communication-efficient distributed optimization. Zbl 1473.68167
Smith, Virginia; Forte, Simone; Ma, Chenxin; Takáč, Martin; Jordan, Michael I.; Jaggi, Martin
11
2018
Structured prediction, dual extragradient and Bregman projections. Zbl 1222.62143
Taskar, Ben; Lacoste-Julien, Simon; Jordan, Michael I.
10
2006
Learning in graphical models. Proceedings of the NATO ASI, Ettore Maiorana Centre, Erice, Italy, September 27 - October 7, 1996. Zbl 0889.00024
9
1998
Beyond independent components: trees and clusters. Zbl 1061.62095
Bach, Francis R.; Jordan, Michael I.
9
2004
Distributed matrix completion and robust factorization. Zbl 1337.68225
Mackey, Lester; Talwalkar, Ameet; Jordan, Michael I.
9
2015
Perturbed iterate analysis for asynchronous stochastic optimization. Zbl 1376.65096
Mania, Horia; Pan, Xinghao; Papailiopoulos, Dimitris; Recht, Benjamin; Ramchandran, Kannan; Jordan, Michael I.
9
2017
Regularized discriminant analysis, ridge regression and beyond. Zbl 1242.62067
Zhang, Zhihua; Dai, Guang; Xu, Congfu; Jordan, Michael I.
9
2010
On statistics, computation and scalability. Zbl 1273.62030
Jordan, Michael I.
9
2013
Probabilistic independence networks for hidden Markov probability models. Zbl 0869.68083
Smyth, Padhraic; Heckerman, David; Jordan, Michael I.
8
1997
Sampling can be faster than optimization. Zbl 1433.68397
Ma, Yi-An; Chen, Yuansi; Jin, Chi; Flammarion, Nicolas; Jordan, Michael I.
7
2019
Mixed memory Markov models: Decomposing complex stochastic processes as mixtures of simpler ones. Zbl 0948.68096
Saul, Lawrence K.; Jordan, Michael I.
7
1999
Learning graphical models for stationary time series. Zbl 1369.62219
Bach, Francis R.; Jordan, Michael I.
7
2004
Bayesian generalized kernel mixed models. Zbl 1280.68221
Zhang, Zhihua; Dai, Guang; Jordan, Michael I.
7
2011
Nonparametric link prediction in large scale dynamic networks. Zbl 1302.62096
Sarkar, Purnamrita; Chakrabarti, Deepayan; Jordan, Michael
7
2014
Distributed optimization with arbitrary local solvers. Zbl 1419.68214
Ma, Chenxin; Konečný, Jakub; Jaggi, Martin; Smith, Virginia; Jordan, Michael I.; Richtárik, Peter; Takáč, Martin
7
2017
Ergodic mirror descent. Zbl 1262.90114
Duchi, John C.; Agarwal, Alekh; Johansson, Mikael; Jordan, Michael I.
6
2012
Privacy aware learning. Zbl 1321.68400
Duchi, John C.; Jordan, Michael I.; Wainwright, Martin J.
6
2014
Joint modeling of multiple time series via the beta process with application to motion capture segmentation. Zbl 1303.62048
Fox, Emily B.; Hughes, Michael C.; Sudderth, Erik B.; Jordan, Michael I.
6
2014
Graphical models: Foundations of neural computation. Zbl 1058.68097
6
2001
Covariances, robustness, and variational Bayes. Zbl 1467.62043
Giordano, Ryan; Broderick, Tamara; Jordan, Michael I.
6
2018
Optimal rates and trade-offs in multiple testing. Zbl 1439.62175
Rabinovich, Maxim; Ramdas, Aaditya; Jordan, Michael I.; Wainwright, Martin J.
6
2020
Bayesian inference for queueing networks and modeling of internet services. Zbl 1220.62024
Sutton, Charles; Jordan, Michael I.
5
2011
Is there an analog of Nesterov acceleration for gradient-based MCMC? Zbl 1475.62123
Ma, Yi-An; Chatterji, Niladri S.; Cheng, Xiang; Flammarion, Nicolas; Bartlett, Peter L.; Jordan, Michael I.
4
2021
Posteriors, conjugacy, and exponential families for completely random measures. Zbl 1415.62011
Broderick, Tamara; Wilson, Ashia C.; Jordan, Michael I.
4
2018
Nonparametric decentralized detection using kernel methods. Zbl 1370.94337
Nguyen, XuanLong; Wainwright, Martin J.; Jordan, Michael I.
4
2005
Optimal prediction for sparse linear models? Lower bounds for coordinate-separable M-estimators. Zbl 1362.62053
Zhang, Yuchen; Wainwright, Martin J.; Jordan, Michael I.
4
2017
Cluster forests. Zbl 1471.62225
Yan, Donghui; Chen, Aiyou; Jordan, Michael I.
4
2013
A unified treatment of multiple testing with prior knowledge using the p-filter. Zbl 1433.62204
Ramdas, Aaditya K.; Barber, Rina F.; Wainwright, Martin J.; Jordan, Michael I.
4
2019
Generalized momentum-based methods: a Hamiltonian perspective. Zbl 1462.90087
Diakonikolas, Jelena; Jordan, Michael I.
3
2021
Learning piecewise control strategies in a modular neural network architecture. Zbl 0800.68676
Jacobs, Robert A.; Jordan, Michael I.
3
1993
High-order Langevin diffusion yields an accelerated MCMC algorithm. Zbl 07370559
Mou, Wenlong; Ma, Yi-An; Wainwright, Martin J.; Bartlett, Peter L.; Jordan, Michael I.
3
2021
On kernel methods for covariates that are rankings. Zbl 1409.62090
Mania, Horia; Ramdas, Aaditya; Wainwright, Martin J.; Jordan, Michael I.; Recht, Benjamin
3
2018
Simultaneous classification and relevant feature identification in high-dimensional spaces: Application to molecular profiling data. Zbl 1144.90448
Bhattacharyya, C.; Grate, L. R.; Rizki, A.; Radisky, D.; Molina, F. J.; Jordan, M. I.; Bissell, M. J.; Mian, I. S.
3
2003
Multiway spectral clustering: a margin-based perspective. Zbl 1329.62294
Zhang, Zhihua; Jordan, Michael I.
3
2008
EP-GIG priors and applications in Bayesian sparse learning. Zbl 1432.68405
Zhang, Zhihua; Wang, Shusen; Liu, Dehua; Jordan, Michael I.
3
2012
Decoding from pooled data: phase transitions of message passing. Zbl 1431.94015
El Alaoui, Ahmed; Ramdas, Aaditya; Krzakala, Florent; Zdeborová, Lenka; Jordan, Michael I.
3
2019
Singularity, misspecification and the convergence rate of EM. Zbl 1462.62382
Dwivedi, Raaz; Ho, Nhat; Khamaru, Koulik; Wainwright, Martin J.; Jordan, Michael I.; Yu, Bin
3
2020
Dynamical, symplectic and stochastic perspectives on gradient-based optimization. Zbl 07250445
Jordan, Michael I.
3
2018
A scalable bootstrap for massive data. Zbl 07555464
Kleiner, Ariel; Talwalkar, Ameet; Sarkar, Purnamrita; Jordan, Michael I.
2
2014
Learning in Boltzmann trees. Zbl 0939.68792
Saul, Lawrence; Jordan, Michael I.
2
1994
A Lyapunov analysis of accelerated methods in optimization. Zbl 07370630
Wilson, Ashia C.; Recht, Ben; Jordan, Michael I.
2
2021
Bayesian nonparametric learning: expressive priors for intelligent systems. Zbl 1216.68293
Jordan, Michael I.
2
2010
A mean field learning algorithm for unsupervised neural networks. Zbl 0910.68180
Saul, Lawrence; Jordan, Michael
2
1998
The asymptotics of ranking algorithms. Zbl 1281.62058
Duchi, John C.; Mackey, Lester; Jordan, Michael I.
2
2013
Coherence functions with applications in large-margin classification methods. Zbl 1433.68387
Zhang, Zhihua; Liu, Dehua; Dai, Guang; Jordan, Michael I.
2
2012
Fundamental limits of detection in the spiked Wigner model. Zbl 1450.62073
El Alaoui, Ahmed; Krzakala, Florent; Jordan, Michael
1
2020
A sequential algorithm for false discovery rate control on directed acyclic graphs. Zbl 07051941
Ramdas, Aaditya; Chen, Jianbo; Wainwright, Martin J.; Jordan, Michael I.
1
2019
Variational probabilistic inference and the QMR-DT network. Zbl 0919.68103
Jaakkola, Tommi S.; Jordan, Michael I.
1
1999
On optimal quantization rules for some problems in sequential decentralized detection. Zbl 1328.94025
Nguyen, Xuanlong; Wainwright, Martin J.; Jordan, Michael I.
1
2008
Extensions of the informative vector machine. Zbl 1133.68396
Lawrence, Neil D.; Platt, John C.; Jordan, Michael I.
1
2005
Saturating splines and feature selection. Zbl 1473.62248
Boyd, Nicholas; Hastie, Trevor; Boyd, Stephen; Recht, Benjamin; Jordan, Michael I.
1
2018
Function-specific mixing times and concentration away from equilibrium. Zbl 1460.60078
Rabinovich, Maxim; Ramdas, Aaditya; Jordan, Michael I.; Wainwright, Martin J.
1
2020
On the adaptivity of stochastic gradient-based optimization. Zbl 1445.90066
Lei, Lihua; Jordan, Michael I.
1
2020
On dissipative symplectic integration with applications to gradient-based optimization. Zbl 1489.82010
França, Guilherme; Jordan, Michael I.; Vidal, René
1
2021
Is there an analog of Nesterov acceleration for gradient-based MCMC? Zbl 1475.62123
Ma, Yi-An; Chatterji, Niladri S.; Cheng, Xiang; Flammarion, Nicolas; Bartlett, Peter L.; Jordan, Michael I.
4
2021
Generalized momentum-based methods: a Hamiltonian perspective. Zbl 1462.90087
Diakonikolas, Jelena; Jordan, Michael I.
3
2021
High-order Langevin diffusion yields an accelerated MCMC algorithm. Zbl 07370559
Mou, Wenlong; Ma, Yi-An; Wainwright, Martin J.; Bartlett, Peter L.; Jordan, Michael I.
3
2021
A Lyapunov analysis of accelerated methods in optimization. Zbl 07370630
Wilson, Ashia C.; Recht, Ben; Jordan, Michael I.
2
2021
On dissipative symplectic integration with applications to gradient-based optimization. Zbl 1489.82010
França, Guilherme; Jordan, Michael I.; Vidal, René
1
2021
Optimal rates and trade-offs in multiple testing. Zbl 1439.62175
Rabinovich, Maxim; Ramdas, Aaditya; Jordan, Michael I.; Wainwright, Martin J.
6
2020
Singularity, misspecification and the convergence rate of EM. Zbl 1462.62382
Dwivedi, Raaz; Ho, Nhat; Khamaru, Koulik; Wainwright, Martin J.; Jordan, Michael I.; Yu, Bin
3
2020
Fundamental limits of detection in the spiked Wigner model. Zbl 1450.62073
El Alaoui, Ahmed; Krzakala, Florent; Jordan, Michael
1
2020
Function-specific mixing times and concentration away from equilibrium. Zbl 1460.60078
Rabinovich, Maxim; Ramdas, Aaditya; Jordan, Michael I.; Wainwright, Martin J.
1
2020
On the adaptivity of stochastic gradient-based optimization. Zbl 1445.90066
Lei, Lihua; Jordan, Michael I.
1
2020
Communication-efficient distributed statistical inference. Zbl 1420.62097
Jordan, Michael I.; Lee, Jason D.; Yang, Yun
26
2019
First-order methods almost always avoid strict saddle points. Zbl 1415.90089
Lee, Jason D.; Panageas, Ioannis; Piliouras, Georgios; Simchowitz, Max; Jordan, Michael I.; Recht, Benjamin
18
2019
Sampling can be faster than optimization. Zbl 1433.68397
Ma, Yi-An; Chen, Yuansi; Jin, Chi; Flammarion, Nicolas; Jordan, Michael I.
7
2019
A unified treatment of multiple testing with prior knowledge using the p-filter. Zbl 1433.62204
Ramdas, Aaditya K.; Barber, Rina F.; Wainwright, Martin J.; Jordan, Michael I.
4
2019
Decoding from pooled data: phase transitions of message passing. Zbl 1431.94015
El Alaoui, Ahmed; Ramdas, Aaditya; Krzakala, Florent; Zdeborová, Lenka; Jordan, Michael I.
3
2019
A sequential algorithm for false discovery rate control on directed acyclic graphs. Zbl 07051941
Ramdas, Aaditya; Chen, Jianbo; Wainwright, Martin J.; Jordan, Michael I.
1
2019
Minimax optimal procedures for locally private estimation. Zbl 1398.62021
Duchi, John C.; Jordan, Michael I.; Wainwright, Martin J.
17
2018
CoCoA: a general framework for communication-efficient distributed optimization. Zbl 1473.68167
Smith, Virginia; Forte, Simone; Ma, Chenxin; Takáč, Martin; Jordan, Michael I.; Jaggi, Martin
11
2018
Covariances, robustness, and variational Bayes. Zbl 1467.62043
Giordano, Ryan; Broderick, Tamara; Jordan, Michael I.
6
2018
Posteriors, conjugacy, and exponential families for completely random measures. Zbl 1415.62011
Broderick, Tamara; Wilson, Ashia C.; Jordan, Michael I.
4
2018
On kernel methods for covariates that are rankings. Zbl 1409.62090
Mania, Horia; Ramdas, Aaditya; Wainwright, Martin J.; Jordan, Michael I.; Recht, Benjamin
3
2018
Dynamical, symplectic and stochastic perspectives on gradient-based optimization. Zbl 07250445
Jordan, Michael I.
3
2018
Saturating splines and feature selection. Zbl 1473.62248
Boyd, Nicholas; Hastie, Trevor; Boyd, Stephen; Recht, Benjamin; Jordan, Michael I.
1
2018
Perturbed iterate analysis for asynchronous stochastic optimization. Zbl 1376.65096
Mania, Horia; Pan, Xinghao; Papailiopoulos, Dimitris; Recht, Benjamin; Ramchandran, Kannan; Jordan, Michael I.
9
2017
Distributed optimization with arbitrary local solvers. Zbl 1419.68214
Ma, Chenxin; Konečný, Jakub; Jaggi, Martin; Smith, Virginia; Jordan, Michael I.; Richtárik, Peter; Takáč, Martin
7
2017
Optimal prediction for sparse linear models? Lower bounds for coordinate-separable M-estimators. Zbl 1362.62053
Zhang, Yuchen; Wainwright, Martin J.; Jordan, Michael I.
4
2017
A variational perspective on accelerated methods in optimization. Zbl 1404.90098
Wibisono, Andre; Wilson, Ashia C.; Jordan, Michael I.
35
2016
On the computational complexity of high-dimensional Bayesian variable selection. Zbl 1359.62088
Yang, Yun; Wainwright, Martin J.; Jordan, Michael I.
26
2016
Spectral methods meet EM: a provably optimal algorithm for crowdsourcing. Zbl 1367.68241
Zhang, Yuchen; Chen, Xi; Zhou, Dengyong; Jordan, Michael I.
13
2016
Machine learning: trends, perspectives, and prospects. Zbl 1355.68227
Jordan, M. I.; Mitchell, T. M.
27
2015
Optimal rates for zero-order convex optimization: the power of two function evaluations. Zbl 1359.90155
Duchi, John C.; Jordan, Michael I.; Wainwright, Martin J.; Wibisono, Andre
24
2015
Distributed matrix completion and robust factorization. Zbl 1337.68225
Mackey, Lester; Talwalkar, Ameet; Jordan, Michael I.
9
2015
Particle Gibbs with ancestor sampling. Zbl 1319.60151
Lindsten, Fredrik; Jordan, Michael I.; Schön, Thomas B.
32
2014
Matrix concentration inequalities via the method of exchangeable pairs. Zbl 1294.60008
Mackey, Lester; Jordan, Michael I.; Chen, Richard Y.; Farrell, Brendan; Tropp, Joel A.
30
2014
Nonparametric link prediction in large scale dynamic networks. Zbl 1302.62096
Sarkar, Purnamrita; Chakrabarti, Deepayan; Jordan, Michael
7
2014
Privacy aware learning. Zbl 1321.68400
Duchi, John C.; Jordan, Michael I.; Wainwright, Martin J.
6
2014
Joint modeling of multiple time series via the beta process with application to motion capture segmentation. Zbl 1303.62048
Fox, Emily B.; Hughes, Michael C.; Sudderth, Erik B.; Jordan, Michael I.
6
2014
A scalable bootstrap for massive data. Zbl 07555464
Kleiner, Ariel; Talwalkar, Ameet; Sarkar, Purnamrita; Jordan, Michael I.
2
2014
Computational and statistical tradeoffs via convex relaxation. Zbl 1292.62019
Chandrasekaran, Venkat; Jordan, Michael I.
18
2013
Feature allocations, probability functions, and paintboxes. Zbl 1329.62278
Broderick, Tamara; Pitman, Jim; Jordan, Michael I.
12
2013
Cluster and feature modeling from combinatorial stochastic processes. Zbl 1331.62124
Broderick, Tamara; Jordan, Michael I.; Pitman, Jim
12
2013
Bayesian semiparametric Wiener system identification. Zbl 1364.93831
Lindsten, Fredrik; Schön, Thomas B.; Jordan, Michael I.
11
2013
On statistics, computation and scalability. Zbl 1273.62030
Jordan, Michael I.
9
2013
Cluster forests. Zbl 1471.62225
Yan, Donghui; Chen, Aiyou; Jordan, Michael I.
4
2013
The asymptotics of ranking algorithms. Zbl 1281.62058
Duchi, John C.; Mackey, Lester; Jordan, Michael I.
2
2013
Beta processes, stick-breaking and power laws. Zbl 1330.62218
Broderick, Tamara; Jordan, Michael I.; Pitman, Jim
18
2012
Ergodic mirror descent. Zbl 1262.90114
Duchi, John C.; Agarwal, Alekh; Johansson, Mikael; Jordan, Michael I.
6
2012
EP-GIG priors and applications in Bayesian sparse learning. Zbl 1432.68405
Zhang, Zhihua; Wang, Shusen; Liu, Dehua; Jordan, Michael I.
3
2012
Coherence functions with applications in large-margin classification methods. Zbl 1433.68387
Zhang, Zhihua; Liu, Dehua; Dai, Guang; Jordan, Michael I.
2
2012
Support union recovery in high-dimensional multivariate regression. Zbl 1373.62372
Obozinski, Guillaume; Wainwright, Martin J.; Jordan, Michael I.
65
2011
A sticky HDP-HMM with application to speaker diarization. Zbl 1232.62077
Fox, Emily B.; Sudderth, Erik B.; Jordan, Michael I.; Willsky, Alan S.
31
2011
Bayesian generalized kernel mixed models. Zbl 1280.68221
Zhang, Zhihua; Dai, Guang; Jordan, Michael I.
7
2011
Bayesian inference for queueing networks and modeling of internet services. Zbl 1220.62024
Sutton, Charles; Jordan, Michael I.
5
2011
Estimating divergence functionals and the likelihood ratio by convex risk minimization. Zbl 1366.62071
Nguyen, XuanLong; Wainwright, Martin J.; Jordan, Michael I.
31
2010
The nested Chinese restaurant process and Bayesian nonparametric inference of topic hierarchies. Zbl 1327.68187
Blei, David M.; Griffiths, Thomas L.; Jordan, Michael I.
18
2010
Regularized discriminant analysis, ridge regression and beyond. Zbl 1242.62067
Zhang, Zhihua; Dai, Guang; Xu, Congfu; Jordan, Michael I.
9
2010
Bayesian nonparametric learning: expressive priors for intelligent systems. Zbl 1216.68293
Jordan, Michael I.
2
2010
Kernel dimension reduction in regression. Zbl 1168.62049
Fukumizu, Kenji; Bach, Francis R.; Jordan, Michael I.
66
2009
On surrogate loss functions and \(f\)-divergences. Zbl 1162.62060
Nguyen, Xuanlong; Wainwright, Martin J.; Jordan, Michael I.
12
2009
Graphical models, exponential families, and variational inference. Zbl 1193.62107
Wainwright, Martin J.; Jordan, Michael I.
267
2008
Multiway spectral clustering: a margin-based perspective. Zbl 1329.62294
Zhang, Zhihua; Jordan, Michael I.
3
2008
On optimal quantization rules for some problems in sequential decentralized detection. Zbl 1328.94025
Nguyen, Xuanlong; Wainwright, Martin J.; Jordan, Michael I.
1
2008
A direct formulation for sparse PCA using semidefinite programming. Zbl 1128.90050
d’Aspremont, Alexandre; El Ghaoui, Laurent; Jordan, Michael I.; Lanckriet, Gert R. G.
127
2007
Convexity, classification, and risk bounds. Zbl 1118.62330
Bartlett, Peter L.; Jordan, Michael I.; Mcauliffe, Jon D.
167
2006
Hierarchical Dirichlet processes. Zbl 1171.62349
Teh, Yee Whye; Jordan, Michael I.; Beal, Matthew J.; Blei, David M.
161
2006
Variational inference for Dirichlet process mixtures. Zbl 1331.62259
Blei, David M.; Jordan, Michael I.
75
2006
Learning spectral clustering, with application to speech separation. Zbl 1222.68138
Bach, Francis R.; Jordan, Michael I.
18
2006
Log-determinant relaxation for approximate inference in discrete Markov random fields. Zbl 1374.94616
Wainwright, M. J.; Jordan, M. I.
12
2006
Structured prediction, dual extragradient and Bregman projections. Zbl 1222.62143
Taskar, Ben; Lacoste-Julien, Simon; Jordan, Michael I.
10
2006
Nonparametric decentralized detection using kernel methods. Zbl 1370.94337
Nguyen, XuanLong; Wainwright, Martin J.; Jordan, Michael I.
4
2005
Extensions of the informative vector machine. Zbl 1133.68396
Lawrence, Neil D.; Platt, John C.; Jordan, Michael I.
1
2005
Kalman filtering with intermittent observations. Zbl 1365.93512
Sinopoli, Bruno; Schenato, Luca; Franceschetti, Massimo; Poolla, Kameshwar; Jordan, Michael I.; Sastry, Shankar S.
265
2004
Learning the kernel matrix with semidefinite programming. Zbl 1222.68241
Lanckriet, Gert R. G.; Cristianini, Nello; Bartlett, Peter; El Ghaoui, Laurent; Jordan, Michael I.
151
2004
Graphical models. Zbl 1057.62001
Jordan, Michael I.
48
2004
Dimensionality reduction for supervised learning with reproducing kernel Hilbert spaces. Zbl 1222.62069
Fukumizu, Kenji; Bach, Francis R.; Jordan, Michael I.
45
2004
Beyond independent components: trees and clusters. Zbl 1061.62095
Bach, Francis R.; Jordan, Michael I.
9
2004
Learning graphical models for stationary time series. Zbl 1369.62219
Bach, Francis R.; Jordan, Michael I.
7
2004
Latent Dirichlet allocation. Zbl 1112.68379
Blei, David M.; Ng, Andrew Y.; Jordan, Michael I.
325
2003
Kernel independent component analysis. Zbl 1088.68689
Bach, Francis R.; Jordan, Michael I.
119
2003
An introduction to MCMC for machine learning. Zbl 1033.68081
Andrieu, Christophe; de Freitas, Nando; Doucet, Arnaud; Jordan, Michael I.
107
2003
A robust minimax approach to classification. Zbl 1084.68657
Lanckriet, Gert R. G.; El Ghaoui, Laurent; Bhattacharyya, Chiranjib; Jordan, Michael I.
51
2003
Matching words and pictures. Zbl 1061.68174
Barnard, Kobus; Duygulu, Pinar; Forsyth, David; de Freitas, Nando; Blei, David M.; Jordan, Michael I.
17
2003
Simultaneous classification and relevant feature identification in high-dimensional spaces: Application to molecular profiling data. Zbl 1144.90448
Bhattacharyya, C.; Grate, L. R.; Rizki, A.; Radisky, D.; Molina, F. J.; Jordan, M. I.; Bissell, M. J.; Mian, I. S.
3
2003
Learning with mixtures of trees. Zbl 1052.68116
Meilă, Marina; Jordan, Michael I.
11
2001
Graphical models: Foundations of neural computation. Zbl 1058.68097
6
2001
Mixed memory Markov models: Decomposing complex stochastic processes as mixtures of simpler ones. Zbl 0948.68096
Saul, Lawrence K.; Jordan, Michael I.
7
1999
Variational probabilistic inference and the QMR-DT network. Zbl 0919.68103
Jaakkola, Tommi S.; Jordan, Michael I.
1
1999
An introduction to variational methods for graphical models. Zbl 0910.68175
Jordan, Michael I.; Ghahramani, Zoubin; Jaakkola, Tommi S.; Saul, Lawrence K.
27
1998
Improving the mean field approximation via the use of mixture distributions. Zbl 0953.60100
Jaakkola, Tommi S.; Jordan, Michael I.
13
1998
Learning in graphical models. Proceedings of the NATO ASI, Ettore Maiorana Centre, Erice, Italy, September 27 - October 7, 1996. Zbl 0889.00024
9
1998
A mean field learning algorithm for unsupervised neural networks. Zbl 0910.68180
Saul, Lawrence; Jordan, Michael
2
1998
Factorial hidden Markov models. Zbl 0892.68080
Ghahramani, Zoubin; Jordan, Michael I.
30
1997
Probabilistic independence networks for hidden Markov probability models. Zbl 0869.68083
Smyth, Padhraic; Heckerman, David; Jordan, Michael I.
8
1997
Active learning with statistical models. Zbl 0900.68366
Cohn, D. A.; Ghahramani, Z.; Jordan, M. I.
66
1996
Mean field theory for sigmoid belief networks. Zbl 0900.68379
Saul, L. K.; Jaakkola, T.; Jordan, M. I.
15
1996
On the convergence of stochastic iterative dynamic programming algorithms. Zbl 0822.68095
Jaakkola, Tommi; Jordan, Michael I.; Singh, Satinder P.
35
1994
Learning in Boltzmann trees. Zbl 0939.68792
Saul, Lawrence; Jordan, Michael I.
2
1994
Learning piecewise control strategies in a modular neural network architecture. Zbl 0800.68676
Jacobs, Robert A.; Jordan, Michael I.
3
1993
all top 5

Cited by 5,229 Authors

36 Sugiyama, Masashi
26 Jordan, Michael Irwin
16 Kanamori, Takafumi
16 Suzuki, Taiji
15 Wainwright, Martin J.
15 Wang, Zidong
12 Dunson, David Brian
12 Shi, Ling
12 Wand, Matthew P.
10 Bartlett, Peter L.
10 Dey, Subhrakanti
10 Fu, Minyue
10 Fukumizu, Kenji
10 Li, Bing
10 Wu, Qiang
9 Artemiou, Andreas
9 Bach, Francis R.
9 Favaro, Stefano
9 Linares-Pérez, Josefa
9 Müller, Peter
9 Powell, Warren Buckler
9 Teh, Yee Whye
9 Xia, Yuanqing
9 Xie, Lihua
9 Zhou, Dingxuan
8 Blanchard, Gilles
8 Blei, David M.
8 Gasnikov, Alexander V.
8 Gretton, Arthur
8 Hermoso-Carazo, Aurora
8 Lijoi, Antonio
8 Liu, Yufeng
8 Príncipe, José Carlos
8 Schnörr, Christoph
8 Suykens, Johan A. K.
8 Xing, Eric P.
8 Zabaras, Nicholas J.
7 Caballero-Águila, Raquel
7 Chen, Dirong
7 Corander, Jukka
7 Guindani, Michele
7 Latouche, Pierre
7 Lecué, Guillaume
7 Lee, Kyoungjae
7 Lian, Heng
7 Nguyen, XuanLong
7 Nott, David John
7 Shen, Bo
7 Steinwart, Ingo
7 Sun, Shuli
7 Yamada, Makoto
7 Zhang, Huanshui
6 Başar, Tamer
6 Broderick, Tamara
6 d’Aspremont, Alexandre
6 Feng, Gang
6 Griffin, Jim E.
6 Karniadakis, George Em
6 Katsoulakis, Markos A.
6 Lee, Michael D.
6 López, Julio E.
6 Mukherjee, Sayan
6 Murray, Richard M.
6 Perdikaris, Paris G.
6 Prünster, Igor
6 Quevedo, Daniel E.
6 Ramdas, Aaditya K.
6 Robin, Stéphane
6 Trippa, Lorenzo
6 Tsybakov, Alexandre B.
6 Xiang, Dao-Hong
6 Ying, Yiming
6 Zhang, Zhihua
6 Zhou, Harrison H.
6 Zhu, Ji
5 Bassetti, Federico
5 Bouveyron, Charles
5 Camerlenghi, Federico
5 Campbell, Trevor
5 Cao, Xuan
5 Carrizosa, Emilio
5 Chen, Feng
5 Chen, Tongwen
5 Gao, Chao
5 Gu, Guoxiang
5 Johansson, Karl Henrik
5 Kim, Minyoung
5 Kolar, Mladen
5 Leisen, Fabrizio
5 Lin, Lizhen
5 Lu, Renquan
5 Maldonado, Sebastián
5 Murphy, Thomas Brendan
5 Niu, Gang
5 Ormerod, John T.
5 Pontil, Massimiliano
5 Rodríguez, Abel
5 Sasaki, Hiroaki
5 Schenato, Luca
5 Schölkopf, Bernhard
...and 5,129 more Authors
all top 5

Cited in 348 Serials

126 Automatica
123 Machine Learning
109 The Annals of Statistics
87 Journal of Machine Learning Research (JMLR)
75 The Annals of Applied Statistics
73 Neural Computation
72 Electronic Journal of Statistics
69 Pattern Recognition
60 Computational Statistics and Data Analysis
52 Journal of the American Statistical Association
52 Statistics and Computing
47 Information Sciences
44 Neural Networks
41 Journal of Multivariate Analysis
35 Journal of the Franklin Institute
35 Bernoulli
34 International Journal of Approximate Reasoning
34 Data Mining and Knowledge Discovery
31 International Journal of Computer Vision
30 Statistical Science
29 Journal of Computational Physics
27 Artificial Intelligence
25 SIAM Journal on Optimization
23 Mathematical Programming. Series A. Series B
23 Mathematical Problems in Engineering
23 Bayesian Analysis
21 Journal of Statistical Planning and Inference
20 Journal of Computational and Graphical Statistics
19 SIAM Journal on Mathematics of Data Science
17 Applied Mathematics and Computation
17 European Journal of Operational Research
17 Statistical Analysis and Data Mining
16 Journal of Applied Statistics
14 Journal of Mathematical Psychology
14 Systems & Control Letters
14 Statistics & Probability Letters
14 Journal of Statistical Computation and Simulation
14 International Journal of Systems Science. Principles and Applications of Systems and Integration
13 International Journal of Robust and Nonlinear Control
13 INFORMS Journal on Computing
12 The Annals of Applied Probability
12 Applied and Computational Harmonic Analysis
12 Journal of Statistical Mechanics: Theory and Experiment
11 Computer Methods in Applied Mechanics and Engineering
11 Journal of Econometrics
11 Signal Processing
11 Annals of Operations Research
11 Computational Statistics
11 SIAM Journal on Scientific Computing
10 Biometrics
10 Operations Research
10 SIAM Journal on Control and Optimization
10 Journal of Global Optimization
10 Annals of Mathematics and Artificial Intelligence
9 Journal of Statistical Physics
9 Physica A
9 Psychometrika
9 Computers & Operations Research
9 Communications in Statistics. Theory and Methods
9 Computational Optimization and Applications
9 The Journal of Artificial Intelligence Research (JAIR)
9 Statistical Methods and Applications
9 Journal of the Korean Statistical Society
9 Advances in Data Analysis and Classification. ADAC
9 SIAM Journal on Imaging Sciences
8 International Journal of Systems Science
8 Journal of Computational and Applied Mathematics
8 Probability Theory and Related Fields
8 Statistica Sinica
8 Journal of the Royal Statistical Society. Series B. Statistical Methodology
8 Journal of Systems Science and Complexity
7 International Journal of Control
7 Journal of Optimization Theory and Applications
7 SIAM Journal on Computing
7 Theoretical Computer Science
7 Journal of Classification
7 Automation and Remote Control
7 Advances in Computational Mathematics
6 Annals of the Institute of Statistical Mathematics
6 Journal of Approximation Theory
6 Mathematics of Operations Research
6 SIAM Journal on Matrix Analysis and Applications
6 Economics Letters
6 Journal of Mathematical Imaging and Vision
6 Test
6 Optimization Methods & Software
6 PAA. Pattern Analysis and Applications
6 Discrete Dynamics in Nature and Society
6 International Journal of Wavelets, Multiresolution and Information Processing
6 Algorithms
6 SIAM/ASA Journal on Uncertainty Quantification
5 The Annals of Probability
5 Operations Research Letters
5 Physica D
5 Statistics
5 Journal of Complexity
5 Proceedings of the National Academy of Sciences of the United States of America
5 Stochastic Processes and their Applications
5 Nonlinear Dynamics
5 Abstract and Applied Analysis
...and 248 more Serials
all top 5

Cited in 51 Fields

1,383 Statistics (62-XX)
911 Computer science (68-XX)
362 Operations research, mathematical programming (90-XX)
328 Numerical analysis (65-XX)
320 Systems theory; control (93-XX)
294 Probability theory and stochastic processes (60-XX)
124 Game theory, economics, finance, and other social and behavioral sciences (91-XX)
118 Information and communication theory, circuits (94-XX)
100 Biology and other natural sciences (92-XX)
86 Combinatorics (05-XX)
45 Statistical mechanics, structure of matter (82-XX)
43 Linear and multilinear algebra; matrix theory (15-XX)
43 Functional analysis (46-XX)
41 Calculus of variations and optimal control; optimization (49-XX)
28 Dynamical systems and ergodic theory (37-XX)
21 Partial differential equations (35-XX)
17 Operator theory (47-XX)
15 Harmonic analysis on Euclidean spaces (42-XX)
14 Ordinary differential equations (34-XX)
14 Geophysics (86-XX)
13 Mechanics of deformable solids (74-XX)
12 Approximations and expansions (41-XX)
12 Quantum theory (81-XX)
11 Fluid mechanics (76-XX)
9 Differential geometry (53-XX)
8 History and biography (01-XX)
8 Convex and discrete geometry (52-XX)
4 Real functions (26-XX)
4 Measure and integration (28-XX)
4 Integral equations (45-XX)
4 Global analysis, analysis on manifolds (58-XX)
4 Mechanics of particles and systems (70-XX)
4 Astronomy and astrophysics (85-XX)
3 General and overarching topics; collections (00-XX)
3 Mathematical logic and foundations (03-XX)
2 Algebraic geometry (14-XX)
2 Functions of a complex variable (30-XX)
2 Integral transforms, operational calculus (44-XX)
2 Optics, electromagnetic theory (78-XX)
2 Mathematics education (97-XX)
1 Number theory (11-XX)
1 Field theory and polynomials (12-XX)
1 Commutative algebra (13-XX)
1 Group theory and generalizations (20-XX)
1 Special functions (33-XX)
1 Difference and functional equations (39-XX)
1 Geometry (51-XX)
1 General topology (54-XX)
1 Algebraic topology (55-XX)
1 Classical thermodynamics, heat transfer (80-XX)
1 Relativity and gravitational theory (83-XX)

Citations by Year

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