S. Tajbakhsh

发表

Phase II Monitoring of Nonlinear Profiles

A. Vaghefi, S. Tajbakhsh, R. Noorossana, 2009 .

Sparse Precision Matrix Selection for Fitting Gaussian Random Field Models to Large Data Sets

Necdet Serhat Aybat, Sam Davanloo Tajbakhsh, Enrique Del Castillo, 2014, 1405.5576.

A Fully Bayesian Approach to the Efficient Global Optimization Algorithm

James L. Rosenberger, Sam Davanloo Tajbakhsh, Enrique Del Castillo, 2012 .

Riemannian Stochastic Gradient Method for Nested Composition Optimization

S. Tajbakhsh, Dewei Zhang, 2022, ArXiv.

Differential Telomere Shortening in Blood versus Arteries in an Animal Model of Type 2 Diabetes

S. Tajbakhsh, D. Hussey, Elke M Sokoya, 2015, Journal of diabetes research.

Stochastic Composition Optimization of Functions without Lipschitz Continuous Gradient

S. Tajbakhsh, Yin Liu, 2022, 2207.09364.

Stochastic Composition Optimization of Functions without Lipschitz Continuous Gradient

S. Tajbakhsh, Yin Liu, 2022, 2207.09364.

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

S. Tajbakhsh, Dewei Zhang, Sam Davanloo Tajbakhsh, 2020, Journal of Optimization Theory and Applications.

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

Enrique del Castillo, Bianca M. Colosimo, Sam Davanloo Tajbakhsh, 2015, Technometrics.

On the Theoretical Guarantees for Parameter Estimation of Gaussian Random Field Models: A Sparse Precision Matrix Approach

N. S. Aybat, E. Castillo, S. Tajbakhsh, 2014 .

Adaptive Stochastic Optimization Algorithms for Problems with Biased Oracles

S. Tajbakhsh, Yin Liu, 2023, 2306.07810.

Generalized Sparse Precision Matrix Selection for Fitting Multivariate Gaussian Random Fields to Large Data Sets

Enrique del Castillo, Necdet Serhat Aybat, Sam Davanloo Tajbakhsh, 2016, 1605.03267.

A Bayesian Approach to Sequential Optimization based on Computer Experiments

Enrique del Castillo, James L. Rosenberger, Sam Davanloo Tajbakhsh, 2015, Qual. Reliab. Eng. Int..

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

Dewei Zhang, Sam Davanloo Tajbakhsh, Yin Liu, 2020, INFORMS J. Comput..

An artificial neural network approach to multiple-response optimization

A. Saghaei, R. Noorossana, Sam Davanloo Tajbakhsh, 2009 .

Spatiotemporal wind forecasting by learning a hierarchically sparse inverse covariance matrix using wind directions

Sam Davanloo Tajbakhsh, Antonio J. Conejo, Yin Liu, 2020 .

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

Sam Davanloo Tajbakhsh, Yin Liu, S. Tajbakhsh, 2020, 2002.06777.

Stochastic Optimization Algorithms for Problems with Controllable Biased Oracles

S. Tajbakhsh, Yin Liu, 2023, 2306.07810.

Fitting ARMA Time Series Models without Identification: A Proximal Approach

S. Tajbakhsh, Yin Liu, 2020, AISTATS.