research
∙
07/16/2021
LeanML: A Design Pattern To Slash Avoidable Wastes in Machine Learning Projects
We introduce the first application of the lean methodology to machine le...
share
research
∙
02/25/2021
Inductive Mutual Information Estimation: A Convex Maximum-Entropy Copula Approach
We propose a novel estimator of the mutual information between two ordin...
research
∙
05/09/2016
Stochastic Portfolio Theory: A Machine Learning Perspective
In this paper we propose a novel application of Gaussian processes (GPs)...
research
∙
10/09/2015
p-Markov Gaussian Processes for Scalable and Expressive Online Bayesian Nonparametric Time Series Forecasting
In this paper we introduce a novel online time series forecasting model ...
research
∙
06/07/2015
String Gaussian Process Kernels
We introduce a new class of nonstationary kernels, which we derive as co...
research
∙
06/07/2015
Generalized Spectral Kernels
In this paper we propose a family of tractable kernels that is dense in ...
research
∙
10/24/2014