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Konstantinos Benidis
Konstantinos Benidis
Bestätigte E-Mail-Adresse bei amazon.com
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Jahr
Gluonts: Probabilistic and neural time series modeling in python
A Alexandrov, K Benidis, M Bohlke-Schneider, V Flunkert, J Gasthaus, ...
The Journal of Machine Learning Research 21 (1), 4629-4634, 2020
289*2020
Deep learning for time series forecasting: Tutorial and literature survey
K Benidis, SS Rangapuram, V Flunkert, Y Wang, D Maddix, C Turkmen, ...
ACM Computing Surveys 55 (6), 1-36, 2022
208*2022
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
1512019
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, 2995-3007, 2020
992020
Sparse portfolios for high-dimensional financial index tracking
K Benidis, Y Feng, DP Palomar
IEEE Transactions on signal processing 66 (1), 155-170, 2017
912017
End-to-end learning of coherent probabilistic forecasts for hierarchical time series
SS Rangapuram, LD Werner, K Benidis, P Mercado, J Gasthaus, ...
International Conference on Machine Learning, 8832-8843, 2021
612021
Orthogonal sparse PCA and covariance estimation via procrustes reformulation
K Benidis, Y Sun, P Babu, DP Palomar
IEEE Transactions on Signal Processing 64 (23), 6211-6226, 2016
552016
Optimization methods for financial index tracking: From theory to practice
K Benidis, Y Feng, DP Palomar
Foundations and Trends® in Optimization 3 (3), 171-279, 2018
292018
Multivariate quantile function forecaster
K Kan, FX Aubet, T Januschowski, Y Park, K Benidis, L Ruthotto, ...
International Conference on Artificial Intelligence and Statistics, 10603-10621, 2022
252022
Deep explicit duration switching models for time series
AF Ansari, K Benidis, R Kurle, AC Turkmen, H Soh, AJ Smola, B Wang, ...
Advances in Neural Information Processing Systems 34, 29949-29961, 2021
192021
Orthogonal sparse eigenvectors: A procrustes problem
K Benidis, Y Sun, P Babu, DP Palomar
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
62016
Solving Recurrent MIPs with Semi-supervised Graph Neural Networks
K Benidis, U Rosolia, S Rangapuram, G Iosifidis, G Paschos
arXiv preprint arXiv:2302.11992, 2023
22023
Bidirectional relay communication with additional private message
K Benidis, RF Schaefer, H Boche
2013 IEEE 14th Workshop on Signal Processing Advances in Wireless …, 2013
12013
Middle-mile optimization for next-day delivery
K Benidis, G Paschos, M Gross, G Iosifidis
arXiv preprint arXiv:2310.18388, 2023
2023
Probabilistic forecasting with nonparametric quantile functions
J Gasthaus, K Benidis, W Yuyang, D Salinas, V Flunkert
US Patent 11,531,917, 2022
2022
GluonTS: Probabilistic Time Series Models in Python
V Flunkert, A Alexandrov, J Schulz, J Gasthaus, D Salinas, DM Robinson, ...
2019
Design of Portfolio of Stocks to Track an Index
K Benidis, DP Palomar
2018
High-dimensional sparsity methods in machine learning and finance
K Benidis
2018
Computing Sparse Eigenvectors of a Matrix
K Benidis, DP Palomar
2017
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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