Stefan Vlaski
Tytuł
Cytowane przez
Cytowane przez
Rok
Distributed learning in non-convex environments—part I: Agreement at a linear rate
S Vlaski, AH Sayed
IEEE Transactions on Signal Processing 69, 1242-1256, 2021
362021
Distributed learning in non-convex environments—Part II: Polynomial escape from saddle-points
S Vlaski, AH Sayed
IEEE Transactions on Signal Processing 69, 1257-1270, 2021
322021
Stochastic learning under random reshuffling with constant step-sizes
B Ying, K Yuan, S Vlaski, AH Sayed
IEEE Transactions on Signal Processing 67 (2), 474-489, 2018
30*2018
Multitask learning over graphs: An approach for distributed, streaming machine learning
R Nassif, S Vlaski, C Richard, J Chen, AH Sayed
IEEE Signal Processing Magazine 37 (3), 14-25, 2020
252020
Stochastic gradient descent with finite samples sizes
K Yuan, B Ying, S Vlaski, AH Sayed
2016 IEEE 26th International Workshop on Machine Learning for Signal …, 2016
252016
Diffusion stochastic optimization with non-smooth regularizers
S Vlaski, L Vandenberghe, AH Sayed
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
192016
A blind adaptive stimulation artifact rejection (ASAR) engine for closed-loop implantable neuromodulation systems
S Basir-Kazeruni, S Vlaski, H Salami, AH Sayed, D Marković
2017 8th International IEEE/EMBS Conference on Neural Engineering (NER), 186-189, 2017
172017
Online graph learning from sequential data
S Vlaski, HP Maretić, R Nassif, P Frossard, AH Sayed
2018 IEEE Data Science Workshop (DSW), 190-194, 2018
162018
A regularization framework for learning over multitask graphs
R Nassif, S Vlaski, C Richard, AH Sayed
IEEE Signal Processing Letters 26 (2), 297-301, 2018
142018
Adaptation and Learning Over Networks Under Subspace Constraints—Part I: Stability Analysis
R Nassif, S Vlaski, AH Sayed
IEEE Transactions on Signal Processing 68, 1346-1360, 2020
132020
Learning over multitask graphs—Part I: Stability analysis
R Nassif, S Vlaski, C Richard, AH Sayed
IEEE Open Journal of Signal Processing 1, 28-45, 2020
112020
Proximal diffusion for stochastic costs with non-differentiable regularizers
S Vlaski, AH Sayed
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
112015
Second-order guarantees of stochastic gradient descent in non-convex optimization
S Vlaski, AH Sayed
arXiv preprint arXiv:1908.07023, 2019
92019
Diffusion learning in non-convex environments
S Vlaski, AH Sayed
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
92019
Distributed inference over networks under subspace constraints
R Nassif, S Vlaski, AH Sayed
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
92019
Distributed inference over multitask graphs under smoothness
R Nassif, S Vlaski, AH Sayed
2018 IEEE 19th International Workshop on Signal Processing Advances in …, 2018
82018
Learning over multitask graphs—Part II: Performance analysis
R Nassif, S Vlaski, C Richard, AH Sayed
IEEE Open Journal of Signal Processing 1, 46-63, 2020
62020
Regularized diffusion adaptation via conjugate smoothing
S Vlaski, L Vandenberghe, AH Sayed
IEEE Transactions on Automatic Control, 2021
52021
On the performance of random reshuffling in stochastic learning
B Ying, K Yuan, S Vlaski, AH Sayed
2017 Information Theory and Applications Workshop (ITA), 1-5, 2017
52017
Robust bootstrap methods with an application to geolocation in harsh LOS/NLOS environments
S Vlaski, M Muma, AM Zoubir
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
52014
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20