Lorenzo Stella
Title
Cited by
Cited by
Year
Deep state space models for time series forecasting
SS Rangapuram, M Seeger, J Gasthaus, L Stella, Y Wang, ...
Proceedings of the 32nd international conference on neural information …, 2018
1262018
Forward-backward quasi-Newton methods for nonsmooth optimization problems
L Stella, A Themelis, P Patrinos
Computational Optimization and Applications 67 (3), 443–487, 2017
802017
Douglas-Rachford splitting: Complexity estimates and accelerated variants
P Patrinos, L Stella, A Bemporad
53rd IEEE Conference on Decision and Control, 4234-4239, 2014
602014
Forward-backward envelope for the sum of two nonconvex functions: Further properties and nonmonotone linesearch algorithms
A Themelis, L Stella, P Patrinos
SIAM Journal on Optimization 28 (3), 2274-2303, 2018
542018
Modeling cellular compartmentation in one‐carbon metabolism
M Scotti, L Stella, EJ Shearer, PJ Stover
Wiley Interdisciplinary Reviews: Systems Biology and Medicine 5 (3), 343-365, 2013
522013
A simple and efficient algorithm for nonlinear model predictive control
L Stella, A Themelis, P Sopasakis, P Patrinos
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 1939-1944, 2017
452017
Forward-backward truncated Newton methods for convex composite optimization
P Patrinos, L Stella, A Bemporad
arXiv preprint arXiv:1402.6655, 2014
372014
Gluonts: Probabilistic Time Series Models in Python
A Alexandrov, K Benidis, M Bohlke-Schneider, V Flunkert, J Gasthaus, ...
arXiv preprint arXiv:1906.05264, 2019
322019
Neural forecasting: Introduction and literature overview
K Benidis, SS Rangapuram, V Flunkert, B Wang, D Maddix, C Turkmen, ...
arXiv preprint arXiv:2004.10240, 2020
182020
Proximal gradient algorithms: Applications in signal processing
N Antonello, L Stella, P Patrinos, T van Waterschoot
arXiv preprint arXiv:1803.01621, 2018
152018
Elastic machine learning algorithms in amazon sagemaker
E Liberty, Z Karnin, B Xiang, L Rouesnel, B Coskun, R Nallapati, ...
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020
142020
New primal-dual proximal algorithm for distributed optimization
P Latafat, L Stella, P Patrinos
2016 IEEE 55th Conference on Decision and Control (CDC), 1959-1964, 2016
122016
GluonTS: Probabilistic and Neural Time Series Modeling in Python
A Alexandrov, K Benidis, M Bohlke-Schneider, V Flunkert, J Gasthaus, ...
Journal of Machine Learning Research 21 (116), 1-6, 2020
102020
Now available in amazon sagemaker: Deepar algorithm for more accurate time series forecasting
T Januschowski, D Arpin, D Salinas, V Flunkert, J Gasthaus, L Stella, ...
92018
Newton-type alternating minimization algorithm for convex optimization
L Stella, A Themelis, P Patrinos
IEEE Transactions on Automatic Control 64 (2), 697-711, 2019
72019
Normalizing Kalman Filters for Multivariate Time Series Analysis
E de Bézenac, SS Rangapuram, K Benidis, M Bohlke-Schneider, R Kurle, ...
Advances in Neural Information Processing Systems 33, 2020
12020
Anomaly Detection at Scale: The Case for Deep Distributional Time Series Models
F Ayed, L Stella, T Januschowski, J Gasthaus
arXiv preprint arXiv:2007.15541, 2020
2020
Douglas-Rachford splitting and ADMM for nonconvex optimization: Accelerated and Newton-type algorithms
A Themelis, L Stella, P Patrinos
arXiv preprint arXiv:2005.10230, 2020
2020
Neural time series models with GluonTS Time Series Workshop ICML 2019
A Alexandrov, K Benidis, M Bohlke-Schneider, V Flunkert, J Gasthaus, ...
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