บทความที่มีข้อกำหนดการเข้าถึงสาธารณะ - Eric Moulinesดูข้อมูลเพิ่มเติม
ไม่มีให้ใช้งานในทุกที่: 3
Fast and privacy preserving distributed low-rank regression
HT Wai, A Scaglione, J Lafond, E Moulines
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
ข้อกำหนด: US National Science Foundation
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
ข้อกำหนด: German Research Foundation, Agence Nationale de la Recherche
Methods for Decentralized Signal Processing With Big Data
HT Wai, A Scaglione, E Moulines
Cooperative and Graph Signal Processing, 399-417, 2018
ข้อกำหนด: US National Science Foundation
มีให้ใช้งานในบางที่: 53
High-dimensional Bayesian inference via the unadjusted Langevin algorithm
A Durmus, E Moulines
ข้อกำหนด: Agence Nationale de la Recherche
On perturbed proximal gradient algorithms
YF Atchadé, G Fort, E Moulines
Journal of Machine Learning Research 18 (10), 1-33, 2017
ข้อกำหนด: US National Science Foundation
Decentralized Frank–Wolfe algorithm for convex and nonconvex problems
HT Wai, J Lafond, A Scaglione, E Moulines
IEEE Transactions on Automatic Control 62 (11), 5522-5537, 2017
ข้อกำหนด: US National Science Foundation
The tamed unadjusted Langevin algorithm
N Brosse, A Durmus, É Moulines, S Sabanis
Stochastic Processes and their Applications 129 (10), 3638-3663, 2019
ข้อกำหนด: UK Engineering and Physical Sciences Research Council
On stochastic gradient langevin dynamics with dependent data streams: The fully nonconvex case
NH Chau, É Moulines, M Rásonyi, S Sabanis, Y Zhang
SIAM Journal on Mathematics of Data Science 3 (3), 959-986, 2021
ข้อกำหนด: Magyar Tudományos Akadémia, UK Engineering and Physical Sciences Research …
Uniform ergodicity of the particle Gibbs sampler
F Lindsten, R Douc, E Moulines
Scandinavian Journal of Statistics 42 (3), 775-797, 2015
ข้อกำหนด: Swedish Research Council
Long-term stability of sequential Monte Carlo methods under verifiable conditions
R Douc, E Moulines, J Olsson
ข้อกำหนด: Swedish Research Council
On stochastic gradient Langevin dynamics with dependent data streams in the logconcave case
M Barkhagen, NH Chau, É Moulines, M Rásonyi, S Sabanis, Y Zhang
ข้อกำหนด: Magyar Tudományos Akadémia, UK Engineering and Physical Sciences Research …
Monte Carlo variational auto-encoders
A Thin, N Kotelevskii, A Doucet, A Durmus, E Moulines, M Panov
International Conference on Machine Learning, 10247-10257, 2021
ข้อกำหนด: UK Engineering and Physical Sciences Research Council, Agence Nationale de …
An ensemble model based on early predictors to forecast COVID-19 health care demand in France
J Paireau, A Andronico, N Hozé, M Layan, P Crepey, A Roumagnac, ...
Proceedings of the National Academy of Sciences 119 (18), e2103302119, 2022
ข้อกำหนด: National Institute of Health and Medical Research, France, European …
Improving coverage estimation for cellular networks with spatial bayesian prediction based on measurements
B Sayrac, J Riihijärvi, P Mähönen, S Ben Jemaa, E Moulines, S Grimoud
Proceedings of the 2012 ACM SIGCOMM workshop on Cellular networks …, 2012
ข้อกำหนด: German Research Foundation
Monk outlier-robust mean embedding estimation by median-of-means
M Lerasle, Z Szabó, T Mathieu, G Lecué
International Conference on Machine Learning, 3782-3793, 2019
ข้อกำหนด: Agence Nationale de la Recherche
Unifying mirror descent and dual averaging
A Juditsky, J Kwon, É Moulines
Mathematical Programming 199 (1), 793-830, 2023
ข้อกำหนด: Agence Nationale de la Recherche
Blocking strategies and stability of particle Gibbs samplers
SS Singh, F Lindsten, E Moulines
Biometrika 104 (4), 953-969, 2017
ข้อกำหนด: Swedish Research Council, UK Engineering and Physical Sciences Research Council
Convergence of Markovian Stochastic Approximation with discontinuous dynamics
G Fort, É Moulines, A Schreck, M Vihola
SIAM Journal on Control and Optimization 54 (2), 866-893, 2016
ข้อกำหนด: Academy of Finland
Tight high probability bounds for linear stochastic approximation with fixed stepsize
A Durmus, E Moulines, A Naumov, S Samsonov, K Scaman, HT Wai
Advances in Neural Information Processing Systems 34, 30063-30074, 2021
ข้อกำหนด: Agence Nationale de la Recherche
On the stability of random matrix product with markovian noise: Application to linear stochastic approximation and td learning
A Durmus, E Moulines, A Naumov, S Samsonov, HT Wai
Conference on Learning Theory, 1711-1752, 2021
ข้อกำหนด: Agence Nationale de la Recherche
แหล่งที่มาและข้อมูลกองทุนดำเนินการโดยโปรแกรมคอมพิวเตอร์โดยอัตโนมัติ