Juan M. Cardenas

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 10

Top Topics

Temporal Difference Learning Algorithms

Active Learning

High Dimensions

Function Approximation

Top Venues

SIAM J. Math. Data Sci.

SIAM J. Sci. Comput.

Publications

Ben Adcock, Juan M. Cardenas, Nick C. Dexter
CS4ML: A general framework for active learning with arbitrary data based on Christoffel functions. CoRR (2023)
Ben Adcock, Juan M. Cardenas, Nick C. Dexter
An Adaptive Sampling and Domain Learning Strategy for Multivariate Function Approximation on Unknown Domains. SIAM J. Sci. Comput. 45 (1) (2023)
Ben Adcock, Juan M. Cardenas, Nick C. Dexter
A unified framework for learning with nonlinear model classes from arbitrary linear samples. CoRR (2023)
Juan M. Cardenas, Ben Adcock, Nick C. Dexter
CS4ML: A general framework for active learning with arbitrary data based on Christoffel functions. NeurIPS (2023)
Juan M. Cardenas, Manuel Solano
A high order unfitted hybridizable discontinuous Galerkin method for linear elasticity. CoRR (2022)
Ben Adcock, Juan M. Cardenas, Nick C. Dexter, Sebastian Moraga
Towards optimal sampling for learning sparse approximation in high dimensions. CoRR (2022)
Ben Adcock, Juan M. Cardenas, Nick C. Dexter
CAS4DL: Christoffel Adaptive Sampling for function approximation via Deep Learning. CoRR (2022)
Ben Adcock, Juan M. Cardenas, Nick C. Dexter
An Adaptive sampling and domain learning strategy for multivariate function approximation on unknown domains. CoRR (2022)
Ben Adcock, Juan M. Cardenas
Near-Optimal Sampling Strategies for Multivariate Function Approximation on General Domains. SIAM J. Math. Data Sci. 2 (3) (2020)
Ben Adcock, Juan M. Cardenas
Optimal sampling strategies for multivariate function approximation on general domains. CoRR (2019)