Articoli con mandati relativi all'accesso pubblico - Michael I. JordanUlteriori informazioni
Non disponibili pubblicamente: 6
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
Mandati: US Department of Defense, National Natural Science Foundation of China
Motor learning and the degrees of freedom problem
MI Jordan
Attention and performance XIII, 796-836, 2018
Mandati: US National Institutes of Health
Artificial neural networks
K Worden, G Tsialiamanis, EJ Cross, TJ Rogers
Machine Learning in Modeling and Simulation: Methods and Applications, 85-119, 2023
Mandati: UK Engineering and Physical Sciences Research Council
A Modified Gating Network for the Mixtures of Experts Architecture 1
L Xu, MI Jordan, GE Hinton
World Congress on Neural Networks, II-405-II-410, 2021
Mandati: US National Science Foundation, US Department of Defense
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
Mandati: US National Institutes of Health
First-order constrained optimization: Non-smooth dynamical system viewpoint
S Schechtman, D Tiapkin, E Moulines, MI Jordan, M Muehlebach
IFAC-PapersOnLine 55 (16), 236-241, 2022
Mandati: German Research Foundation, Agence Nationale de la Recherche
Disponibili pubblicamente: 225
Learning transferable features with deep adaptation networks
M Long, Y Cao, J Wang, M Jordan
International conference on machine learning, 97-105, 2015
Mandati: National Natural Science Foundation of China
Deep transfer learning with joint adaptation networks
M Long, H Zhu, J Wang, MI Jordan
International conference on machine learning, 2208-2217, 2017
Mandati: National Natural Science Foundation of China
Conditional adversarial domain adaptation
M Long, Z Cao, J Wang, MI Jordan
Advances in neural information processing systems 31, 2018
Mandati: US Department of Defense, National Natural Science Foundation of China
Forward models: Supervised learning with a distal teacher
MI Jordan, DE Rumelhart
Backpropagation, 189-236, 2013
Mandati: US National Institutes of Health
Unsupervised domain adaptation with residual transfer networks
M Long, H Zhu, J Wang, MI Jordan
Advances in neural information processing systems 29, 2016
Mandati: National Natural Science Foundation of China
Deep generative modeling for single-cell transcriptomics
R Lopez, J Regier, MB Cole, MI Jordan, N Yosef
Nature methods 15 (12), 1053-1058, 2018
Mandati: US National Institutes of Health
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 (OSDI …, 2018
Mandati: US National Science Foundation
RLlib: Abstractions for distributed reinforcement learning
E Liang, R Liaw, R Nishihara, P Moritz, R Fox, K Goldberg, J Gonzalez, ...
International conference on machine learning, 3053-3062, 2018
Mandati: US National Science Foundation
Is Q-learning provably efficient?
C Jin, Z Allen-Zhu, S Bubeck, MI Jordan
Advances in neural information processing systems 31, 2018
Mandati: US Department of Defense
Bridging theory and algorithm for domain adaptation
Y Zhang, T Liu, M Long, M Jordan
International conference on machine learning, 7404-7413, 2019
Mandati: National Natural Science Foundation of China
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
Mandati: US National Science Foundation, US National Institutes of Health
Gradient descent only converges to minimizers
JD Lee, M Simchowitz, MI Jordan, B Recht
Conference on learning theory, 1246-1257, 2016
Mandati: US National Science Foundation, US Department of Energy
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
Mandati: US National Science Foundation, US Department of Defense, US National …
On gradient descent ascent for nonconvex-concave minimax problems
T Lin, C Jin, M Jordan
International Conference on Machine Learning, 6083-6093, 2020
Mandati: US Department of Defense
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