Paz Fink Shustin

According to our database, Paz Fink Shustin authored at least 7 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

<tt>PCE-Net</tt> : High-Dimensional Surrogate Modeling for Learning Uncertainty.

Paz Fink Shustin, Shashanka Ubaru, Malgorzata J. Zimon, Songtao Lu, Vasileios Kalantzis, Lior Horesh, Haim Avron

SIAM/ASA J. Uncertain. Quantification, 2026

2025

Nonlinear Dimensionality Reduction Techniques for Bayesian Optimization.

Luo Long, Coralia Cartis, Paz Fink Shustin

CoRR, October, 2025

2024

Dimensionality Reduction Techniques for Global Bayesian Optimisation.

Luo Long, Coralia Cartis, Paz Fink Shustin

CoRR, 2024

2022

Semi-Infinite Linear Regression and Its Applications.

Paz Fink Shustin, Haim Avron

SIAM J. Matrix Anal. Appl., 2022

Gauss-Legendre Features for Gaussian Process Regression.

Paz Fink Shustin, Haim Avron

J. Mach. Learn. Res., 2022

PCENet: High Dimensional Surrogate Modeling for Learning Uncertainty.

Paz Fink Shustin, Shashanka Ubaru, Vasileios Kalantzis, Lior Horesh, Haim Avron

CoRR, 2022

2020

Error Inhibiting Schemes for Initial Boundary Value Heat Equation.

Adi Ditkowski, Paz Fink Shustin

CoRR, 2020