Sam Davanloo Tajbakhsh

According to our database, Sam Davanloo Tajbakhsh authored at least 7 papers between 2015 and 2024.

Collaborative distances:

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

2024

Riemannian Stochastic Gradient Method for Nested Composition Optimization.

Dewei Zhang, Sam Davanloo Tajbakhsh

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

Fitting ARMA Time Series Models without Identification: A Proximal Approach.

Yin Liu, Sam Davanloo Tajbakhsh

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Stochastic Composition Optimization of Functions Without Lipschitz Continuous Gradient.

Yin Liu, Sam Davanloo Tajbakhsh

J. Optim. Theory Appl., July, 2023

Riemannian Stochastic Variance-Reduced Cubic Regularized Newton Method for Submanifold Optimization.

Dewei Zhang, Sam Davanloo Tajbakhsh

J. Optim. Theory Appl., 2023

2022

A First-Order Optimization Algorithm for Statistical Learning with Hierarchical Sparsity Structure.

Dewei Zhang, Yin Liu, Sam Davanloo Tajbakhsh

INFORMS J. Comput., 2022

2015

Geodesic Gaussian Processes for the Parametric Reconstruction of a Free-Form Surface.

Enrique del Castillo, Bianca Maria Colosimo, Sam Davanloo Tajbakhsh

Technometrics, 2015

A Bayesian Approach to Sequential Optimization based on Computer Experiments.

Sam Davanloo Tajbakhsh, Enrique del Castillo, James L. Rosenberger

Qual. Reliab. Eng. Int., 2015