Laurent  Callot
Laurent Callot
Principal scientist, AWS AI Labs
Verified email at - Homepage
Cited by
Cited by
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
Oracle inequalities for high dimensional vector autoregressions
AB Kock, L Callot
Journal of Econometrics 186 (2), 325-344, 2015
High-dimensional multivariate forecasting with low-rank gaussian copula processes
D Salinas, M Bohlke-Schneider, L Callot, R Medico, J Gasthaus
Advances in Neural Information Processing Systems 32, 6827-6837, 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
Estimation and Forecasting of Large Realized Covariance Matrices and Portfolio Choice
L Callot, AB Kock, M Medeiros
Journal of Applied Econometrics, 2016
A nodewise regression approach to estimating large portfolios
L Callot, M Caner, AÖ Önder, E Ulaşan
Journal of Business & Economic Statistics 39 (2), 520-531, 2021
Oracle efficient estimation and forecasting with the adaptive lasso and the adaptive group lasso in vector autoregressions
LAF Callot, AB Kock
Essays in Nonlinear Time Series Econometrics, 238-268, 2014
Deep learning for forecasting
T Januschowski, J Gasthaus, SS Rangapuram, L Callot
Deep generative model with hierarchical latent factors for time series anomaly detection
CI Challu, P Jiang, YN Wu, L Callot
International Conference on Artificial Intelligence and Statistics, 1643-1654, 2022
Unsupervised model selection for time-series anomaly detection
M Goswami, C Challu, L Callot, L Minorics, A Kan
The Eleventh International Conference on Learning Representations., 2023
Deterministic and stochastic trends in the Lee–Carter mortality model
L Callot, N Haldrup, M Kallestrup-Lamb
Applied Economics Letters 23 (7), 486-493, 2016
The problem of natural funnel asymmetries: a simulation analysis of meta‐analysis in macroeconomics
L Callot, M Paldam
Research Synthesis Methods, 2011
Online false discovery rate control for anomaly detection in time series
Q Rebjock, B Kurt, T Januschowski, L Callot
Advances in Neural Information Processing Systems 34, 26487-26498, 2021
Sharp Threshold Detection based on Sup-Norm Error Rates in High-dimensional Models
L Callot, M Caner, AB Kock, JA Riquelme
Journal of Business & Economic Statistics, 2015
Online time series anomaly detection with state space gaussian processes
C Bock, FX Aubet, J Gasthaus, A Kan, M Chen, L Callot
arXiv preprint arXiv:2201.06763, 2022
Spliced binned-pareto distribution for robust modeling of heavy-tailed time series
E Ehrlich, L Callot, FX Aubet
arXiv preprint arXiv:2106.10952, 2021
A Simple and Effective Predictive Resource Scaling Heuristic for Large-scale Cloud Applications.
Q Rebjock, V Flunkert, T Januschowski, L Callot, J Castellon
AIDB@ VLDB, 2020
Vector autoregressions with parsimoniously time varying parameters and an application to monetary policy
L Callot, JT Kristensen
Tinbergen Institute Discussion Paper 14-145/III, 2015
Improve black-box sequential anomaly detector relevancy with limited user feedback
L Kong, L Chen, M Chen, P Bhatia, L Callot
arXiv preprint arXiv:2009.07241, 2020
SpectraNet: multivariate forecasting and imputation under distribution shifts and missing data
C Challu, P Jiang, YN Wu, L Callot
arXiv preprint arXiv:2210.12515, 2022
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