1 citations · 1 across the 8 of their papers we have counts for
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Efficient Interpretable Nonlinear Modeling for Multiple Time Series
Kevin Roy, Luis Miguel Lopez-Ramos, Baltasar Beferull-Lozano
Predictive linear and nonlinear models based on kernel machines or deep neural networks have been used to discover dependencies among time series. This paper proposes an efficient…
An Online Multiple Kernel Parallelizable Learning Scheme
Emilio Ruiz-Moreno, Baltasar Beferull-Lozano
The performance of reproducing kernel Hilbert space-based methods is known to be sensitive to the choice of the reproducing kernel. Choosing an adequate reproducing kernel can be c…
Random Feature Approximation for Online Nonlinear Graph Topology Identification
Rohan Money, Joshin Krishnan, Baltasar Beferull-Lozano
Online topology estimation of graph-connected time series is challenging, especially since the causal dependencies in many real-world networks are nonlinear. In this paper, we prop…
Online Hyperparameter Search Interleaved with Proximal Parameter Updates
Luis Miguel Lopez-Ramos, Baltasar Beferull-Lozano
There is a clear need for efficient algorithms to tune hyperparameters for statistical learning schemes, since the commonly applied search methods (such as grid search with N-fold…