مقالات بحثية تمّ التفويض بإتاحتها للجميع - Shai Shalev-Shwartzمزيد من المعلومات
عدد المقالات البحثية المتاحة للجميع في موقع ما: 16
Decoupling" when to update" from" how to update"
E Malach, S Shalev-Shwartz
Advances in neural information processing systems 30, 2017
التفويضات: European Commission
Proving the lottery ticket hypothesis: Pruning is all you need
E Malach, G Yehudai, S Shalev-Schwartz, O Shamir
International Conference on Machine Learning, 6682-6691, 2020
التفويضات: European Commission
SDCA without duality, regularization, and individual convexity
S Shalev-Shwartz
International Conference on Machine Learning, 747-754, 2016
التفويضات: European Commission
On graduated optimization for stochastic non-convex problems
E Hazan, KY Levy, S Shalev-Shwartz
International conference on machine learning, 1833-1841, 2016
التفويضات: US National Science Foundation, European Commission
Minimizing the maximal loss: How and why
S Shalev-Shwartz, Y Wexler
International Conference on Machine Learning, 793-801, 2016
التفويضات: European Commission
Is deeper better only when shallow is good?
E Malach, S Shalev-Shwartz
Advances in Neural Information Processing Systems 32, 2019
التفويضات: European Commission
Solving ridge regression using sketched preconditioned svrg
A Gonen, F Orabona, S Shalev-Shwartz
International conference on machine learning, 1397-1405, 2016
التفويضات: European Commission
Subspace learning with partial information
A Gonen, D Rosenbaum, YC Eldar, S Shalev-Shwartz
Journal of Machine Learning Research 17 (52), 1-21, 2016
التفويضات: US National Science Foundation
The connection between approximation, depth separation and learnability in neural networks
E Malach, G Yehudai, S Shalev-Schwartz, O Shamir
Conference on Learning Theory, 3265-3295, 2021
التفويضات: European Commission
Knowledge distillation: Bad models can be good role models
G Kaplun, E Malach, P Nakkiran, S Shalev-Shwartz
Advances in Neural Information Processing Systems 35, 28683-28694, 2022
التفويضات: US National Science Foundation, US Department of Energy, US Department of …
The implications of local correlation on learning some deep functions
E Malach, S Shalev-Shwartz
Advances in Neural Information Processing Systems 33, 1322-1332, 2020
التفويضات: European Commission
An exit strategy from the COVID-19 lockdown based on risk-sensitive resource allocation
S Shalev-Shwartz, A Shashua
Center for Brains, Minds and Machines (CBMM), 2020
التفويضات: US National Science Foundation
Can we contain COVID-19 without locking-down the economy?
S Shalev-Shwartz, A Shashua
Center for Brains, Minds and Machines (CBMM), 2020
التفويضات: US National Science Foundation
Efficient learning of cnns using patch based features
A Brutzkus, A Globerson, E Malach, AR Netser, S Shalev-Schwartz
International Conference on Machine Learning, 2336-2356, 2022
التفويضات: European Commission
Computational separation between convolutional and fully-connected networks
S Shalev-Shwartz
International Conference on Learning Representations, 2020
التفويضات: European Commission
Learning sparse low-threshold linear classifiers.
S Sabato, S Shalev-Shwartz, N Srebro, DJ Hsu, T Zhang
J. Mach. Learn. Res. 16, 1275-1304, 2015
التفويضات: US National Institutes of Health
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