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9 papers · 1 filter
Automated Spatio-Temporal Weather Modeling for Load Forecasting
Julie Keisler, Margaux Bregere
Electricity is difficult to store, except at prohibitive cost, and therefore the balance between generation and load must be maintained at all times. Electricity is traditionally m…
Variational quantization for state space models
Etienne David, Jean Bellot, Sylvain Le Corff
Forecasting tasks using large datasets gathering thousands of heterogeneous time series is a crucial statistical problem in numerous sectors. The main challenge is to model a rich…
Experimental Comparison of Ensemble Methods and Time-to-Event Analysis Models Through Integrated Brier Score and Concordance Index
Camila Fernandez, Chung Shue Chen, Chen Pierre Gaillard +1
Time-to-event analysis is a branch of statistics that has increased in popularity during the last decades due to its many application fields, such as predictive maintenance, custom…
Online Learning Approach for Survival Analysis
Camila Fernandez, Pierre Gaillard, Joseph de Vilmarest +1
We introduce an online mathematical framework for survival analysis, allowing real time adaptation to dynamic environments and censored data. This framework enables the estimation…
Batched Bandits with Crowd Externalities
Romain Laroche, Othmane Safsafi, Raphael Feraud +1
In Batched Multi-Armed Bandits (BMAB), the policy is not allowed to be updated at each time step. Usually, the setting asserts a maximum number of allowed policy updates and the al…
Robustness of Community Detection to Random Geometric Perturbations
Sandrine Peche, Vianney Perchet
We consider the stochastic block model where connection between vertices is perturbed by some latent (and unobserved) random geometric graph. The objective is to prove that spectra…