Articles with public access mandates - Michael I. JordanLearn more
Not available: 4
Transferable representation learning with deep adaptation networks
M Long, Y Cao, Z Cao, J Wang, MI Jordan
IEEE transactions on pattern analysis and machine intelligence 41 (12), 3071 …, 2018
Mandates: National Natural Science Foundation of China, US Department of DefenseReview
Perturbed iterate analysis for asynchronous stochastic optimization
H Mania, X Pan, D Papailiopoulos, B Recht, K Ramchandran, MI Jordan
SIAM Journal on Optimization 27 (4), 2202-2229, 2017
Mandates: US National Science Foundation, US Department of DefenseReview
Identifying and correcting bias from time-and severity-dependent reporting rates in the estimation of the covid-19 case fatality rate
A Angelopoulos, R Pathak, R Varma, MI Jordan
Available at SSRN 3556644, 2020
Mandates: US National Science FoundationReview
Plant-based diets in Hispanic/Latino adult Adventists in the United States and their association with Body Mass Index
K Jaceldo-Siegl, D Estevez, GE Fraser, DE Hayes-Bautista, H Flores, ...
American Journal of Health Promotion 33 (6), 869-875, 2019
Mandates: US National Institutes of HealthReview
Available: 108
Learning transferable features with deep adaptation networks
M Long, Y Cao, J Wang, M Jordan
International conference on machine learning, 97-105, 2015
Mandates: National Natural Science Foundation of ChinaReview
Deep transfer learning with joint adaptation networks
M Long, H Zhu, J Wang, MI Jordan
International conference on machine learning, 2208-2217, 2017
Mandates: National Natural Science Foundation of ChinaReview
Unsupervised domain adaptation with residual transfer networks
M Long, H Zhu, J Wang, MI Jordan
arXiv preprint arXiv:1602.04433, 2016
Mandates: National Natural Science Foundation of ChinaReview
Conditional adversarial domain adaptation
M Long, Z Cao, J Wang, MI Jordan
arXiv preprint arXiv:1705.10667, 2017
Mandates: National Natural Science Foundation of China, US Department of DefenseReview
Gradient descent only converges to minimizers
JD Lee, M Simchowitz, MI Jordan, B Recht
Conference on learning theory, 1246-1257, 2016
Mandates: US National Science Foundation, US Department of EnergyReview
Deep generative modeling for single-cell transcriptomics
R Lopez, J Regier, MB Cole, MI Jordan, N Yosef
Nature methods 15 (12), 1053-1058, 2018
Mandates: US National Institutes of HealthReview
The constrained laplacian rank algorithm for graph-based clustering
F Nie, X Wang, M Jordan, H Huang
Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016
Mandates: US National Science Foundation, US National Institutes of HealthReview
Ray: A distributed framework for emerging {AI} applications
P Moritz, R Nishihara, S Wang, A Tumanov, R Liaw, E Liang, M Elibol, ...
13th {USENIX} Symposium on Operating Systems Design and Implementation …, 2018
Mandates: US National Science FoundationReview
A critical assessment of Mus musculus gene function prediction using integrated genomic evidence
L Peña-Castillo, M Tasan, CL Myers, H Lee, T Joshi, C Zhang, Y Guan, ...
Genome biology 9 (1), 1-19, 2008
Mandates: Canadian Institutes of Health Research, US National Institutes of Health …Review
Is Q-learning provably efficient?
C Jin, Z Allen-Zhu, S Bubeck, MI Jordan
arXiv preprint arXiv:1807.03765, 2018
Mandates: US Department of DefenseReview
A kernelized Stein discrepancy for goodness-of-fit tests
Q Liu, J Lee, M Jordan
International conference on machine learning, 276-284, 2016
Mandates: US National Science FoundationReview
A general analysis of the convergence of ADMM
R Nishihara, L Lessard, B Recht, A Packard, M Jordan
International Conference on Machine Learning, 343-352, 2015
Mandates: US National Aeronautics and Space AdministrationReview
Genomic privacy and limits of individual detection in a pool
S Sankararaman, G Obozinski, MI Jordan, E Halperin
Nature genetics 41 (9), 965-967, 2009
Mandates: US National Institutes of HealthReview
Learning to explain: An information-theoretic perspective on model interpretation
J Chen, L Song, M Wainwright, M Jordan
International Conference on Machine Learning, 883-892, 2018
Mandates: US National Science Foundation, US Department of Defense, US National …Review
Partial transfer learning with selective adversarial networks
Z Cao, M Long, J Wang, MI Jordan
Proceedings of the IEEE conference on computer vision and pattern …, 2018
Mandates: National Natural Science Foundation of ChinaReview
A lyapunov analysis of momentum methods in optimization
AC Wilson, B Recht, MI Jordan
arXiv preprint arXiv:1611.02635, 2016
Mandates: US National Science FoundationReview
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