Jan Gasthaus
Jan Gasthaus
AWS AI Labs, Amazon Web Services
Verified email at ucl.ac.uk - Homepage
Cited by
Cited by
DeepAR: Probabilistic forecasting with autoregressive recurrent networks
D Salinas, V Flunkert, J Gasthaus, T Januschowski
International Journal of Forecasting 36 (3), 1181-1191, 2020
Deep state space models for time series forecasting
SS Rangapuram, MW Seeger, J Gasthaus, L Stella, Y Wang, ...
Advances in neural information processing systems 31, 7785-7794, 2018
A stochastic memoizer for sequence data
F Wood, C Archambeau, J Gasthaus, L James, YW Teh
Proceedings of the 26th annual international conference on machine learning …, 2009
The sequence memoizer
F Wood, J Gasthaus, C Archambeau, L James, YW Teh
Communications of the ACM 54 (2), 91-98, 2011
Probabilistic demand forecasting at scale
JH Böse, V Flunkert, J Gasthaus, T Januschowski, D Lange, D Salinas, ...
Proceedings of the VLDB Endowment 10 (12), 1694-1705, 2017
Deep factors for forecasting
Y Wang, A Smola, D Maddix, J Gasthaus, D Foster, T Januschowski
International conference on machine learning, 6607-6617, 2019
Criteria for classifying forecasting methods
T Januschowski, J Gasthaus, Y Wang, D Salinas, V Flunkert, ...
International Journal of Forecasting 36 (1), 167-177, 2020
Dependent Dirichlet process spike sorting
J Gasthaus, F Wood, D Gorur, YW Teh
Advances in neural information processing systems, 497-504, 2009
Probabilistic forecasting with spline quantile function RNNs
J Gasthaus, K Benidis, Y Wang, SS Rangapuram, D Salinas, V Flunkert, ...
The 22nd international conference on artificial intelligence and statistics …, 2019
Neural forecasting: Introduction and literature overview
K Benidis, SS Rangapuram, V Flunkert, B Wang, D Maddix, C Turkmen, ...
arXiv preprint arXiv:2004.10240, 2020
Gluonts: Probabilistic time series models in python
A Alexandrov, K Benidis, M Bohlke-Schneider, V Flunkert, J Gasthaus, ...
arXiv preprint arXiv:1906.05264, 2019
Lossless compression based on the Sequence Memoizer
J Gasthaus, F Wood, YW Teh
2010 data compression conference, 337-345, 2010
GluonTS: Probabilistic and Neural Time Series Modeling in Python.
A Alexandrov, K Benidis, M Bohlke-Schneider, V Flunkert, J Gasthaus, ...
J. Mach. Learn. Res. 21 (116), 1-6, 2020
High-dimensional multivariate forecasting with low-rank gaussian copula processes
D Salinas, M Bohlke-Schneider, L Callot, R Medico, J Gasthaus
arXiv preprint arXiv:1910.03002, 2019
Forecasting big time series: old and new
C Faloutsos, J Gasthaus, T Januschowski, Y Wang
Proceedings of the VLDB Endowment 11 (12), 2102-2105, 2018
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
Improvements to the sequence memoizer
J Gasthaus, Y Teh
Advances in Neural Information Processing Systems 23, 685-693, 2010
FIASCO: Filtering the internet by automatic subtree classification, osnabruck
D Bauer, J Degen, X Deng, P Herger, J Gasthaus, E Giesbrecht, L Jansen, ...
Building and Exploring Web Corpora: Proceedings of the 3rd Web as Corpus …, 2007
GP-select: Accelerating EM using adaptive subspace preselection
JA Shelton, J Gasthaus, Z Dai, J Lücke, A Gretton
Neural computation 29 (8), 2177-2202, 2017
Forecasting big time series: Theory and practice
C Faloutsos, V Flunkert, J Gasthaus, T Januschowski, Y Wang
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
The system can't perform the operation now. Try again later.
Articles 1–20