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Found 7 papers, 1 papers with code
Distributionally Robust LQG control under Distributed Uncertainty
A new paradigm is proposed for the robustification of the LQG controller against distributional uncertainties on the noise process.
On the Statistical Consistency of a Generalized Cepstral Estimator
We consider the problem to estimate the generalized cepstral coefficients of a stationary stochastic process or stationary multidimensional random field.
Autoregressive Identification of Kronecker Graphical Models
We address the problem to estimate a Kronecker graphical model corresponding to an autoregressive Gaussian stochastic process.
Derivative-free online learning of inverse dynamics models
This paper discusses online algorithms for inverse dynamics modelling in robotics.
Online semi-parametric learning for inverse dynamics modeling
This paper presents a semi-parametric algorithm for online learning of a robot inverse dynamics model.
Sparse plus low-rank autoregressive identification in neuroimaging time series
This paper considers the problem of identifying multivariate autoregressive (AR) sparse plus low-rank graphical models.
A Bayesian Approach to Sparse plus Low rank Network Identification
We consider the problem of modeling multivariate time series with parsimonious dynamical models which can be represented as sparse dynamic Bayesian networks with few latent nodes.
