3 citations · 11 across the 19 of their papers we have counts for
7 papers · 1 filter
DRCFS: Doubly Robust Causal Feature Selection
Francesco Quinzan, Ashkan Soleymani, Patrick Jaillet +2
Knowing the features of a complex system that are highly relevant to a particular target variable is of fundamental interest in many areas of science. Existing approaches are often…
On the Relation between Discrete and Continuous-time Refined Instrumental Variable Methods
Rodrigo A. González, Cristian R. Rojas, Siqi Pan +1
The Refined Instrumental Variable method for discrete-time systems (RIV) and its variant for continuous-time systems (RIVC) are popular methods for the identification of linear sys…
Decentralized diffusion-based learning under non-parametric limited prior knowledge
Paweł Wachel, Krzysztof Kowalczyk, Cristian R. Rojas
We study the problem of diffusion-based network learning of a nonlinear phenomenon, , from local agents' measurements collected in a noisy environment. For a decentralized netwo…
Diagnosing and Augmenting Feature Representations in Correctional Inverse Reinforcement Learning
Inês Lourenço, Andreea Bobu, Cristian R. Rojas +1
Robots have been increasingly better at doing tasks for humans by learning from their feedback, but still often suffer from model misalignment due to missing or incorrectly learned…
An EM Algorithm for Lebesgue-sampled State-space Continuous-time System Identification
Rodrigo A. González, Angel L. Cedeño, María Coronel +2
This paper concerns the identification of continuous-time systems in state-space form that are subject to Lebesgue sampling. Contrary to equidistant (Riemann) sampling, Lebesgue sa…
Parsimonious Identification of Continuous-Time Systems: A Block-Coordinate Descent Approach
Rodrigo A. González, Cristian R. Rojas, Siqi Pan +1
The identification of electrical, mechanical, and biological systems using data can benefit greatly from prior knowledge extracted from physical modeling. Parametric continuous-tim…