Personal information

Continuous optimization
United States

Biography

My research is focused on the design of first-order continuous optimization algorithms and establishing their complexity bounds.

Activities

Employment (2)

The Ohio State University: Columbus, Ohio, US

2016-08-01 to present | Associate Professor (Integrated Systems Engineering )
Employment
Source: Self-asserted source
Sam Davanloo Tajbakhsh

Virginia Tech: Blacksburg, Virginia, US

2015-08-01 to 2016-05-31 | Visiting Assistant Professor (Mathematics)
Employment
Source: Self-asserted source
Sam Davanloo Tajbakhsh

Education and qualifications (2)

Pennsylvania State University: State College, Pennsylvania, US

2009-08-01 to 2015-12-15 | PhD, Industrial Engineering and Operations Research (Industrial and Manufacturing Engineering)
Education
Source: Self-asserted source
Sam Davanloo Tajbakhsh

Pennsylvania State University: State College, Pennsylvania, US

2011-08-01 to 2013-08-01 | MS, Statistics (Statistics)
Education
Source: Self-asserted source
Sam Davanloo Tajbakhsh

Professional activities (3)

Society for Industrial and Applied Mathematics: Philadelphia, PA, US

Membership
Source: Self-asserted source
Sam Davanloo Tajbakhsh

The Mathematical Optimization Society: Philadelphia, PA, US

2017 to present
Membership
Source: Self-asserted source
Sam Davanloo Tajbakhsh

Institute for Operations Research and the Management Sciences: Catonsville, Maryland, US

2015 to present
Membership
Source: Self-asserted source
Sam Davanloo Tajbakhsh

Funding (1)

Data-driven Modeling and Optimization for Energy-Smart Manufacturing

2016-09-01 to 2020-08-31 | Grant
Directorate for Engineering (Alexandria, US)
GRANT_NUMBER: 1634867
Source: Self-asserted source
Sam Davanloo Tajbakhsh via DimensionsWizard

Works (15)

Fitting arma time series models without identification: A proximal approach

International Conference on Artificial Intelligence and Statistics
2024 | Conference paper
Contributors: Liu, Yin; Tajbakhsh, Sam Davanloo
Source: Self-asserted source
Sam Davanloo Tajbakhsh

Nonasymptotic Analysis of Accelerated Methods With Inexact Oracle Under Absolute Error Bound

arXiv preprint arXiv:2408.00720
2024 | Journal article
Contributors: Liu, Yin; Davanloo Tajbakhsh, Sam
Source: Self-asserted source
Sam Davanloo Tajbakhsh

Stochastic Optimization Algorithms for Problems with Controllable Biased Oracles

arXiv eprint arXiv:2306.07810
2023 | Journal article
Contributors: Liu, Yin; Davanloo Tajbakhsh, Sam
Source: Self-asserted source
Sam Davanloo Tajbakhsh

Stochastic Composition Optimization of Functions Without Lipschitz Continuous Gradient

Journal of Optimization Theory and Applications
2023-07 | Journal article
Contributors: Yin Liu; Sam Davanloo Tajbakhsh
Source: check_circle
Crossref

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

Journal of Optimization Theory and Applications
2023-01 | Journal article
Contributors: Dewei Zhang; Sam Davanloo Tajbakhsh
Source: check_circle
Crossref

Riemannian Stochastic Gradient Method for Nested Composition Optimization

2022-07-19 | Preprint
Source: Self-asserted source
Sam Davanloo Tajbakhsh

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

INFORMS Journal on Computing
2022-03 | Journal article
Contributors: Dewei Zhang; Yin Liu; Sam Davanloo Tajbakhsh
Source: check_circle
Crossref

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

International Journal of Forecasting
2021 | Journal article
Source: Self-asserted source
Sam Davanloo Tajbakhsh

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

Journal of Machine Learning Research
2020 | Journal article
URI:

http://jmlr.org/papers/v21/14-241.html

Source: Self-asserted source
Sam Davanloo Tajbakhsh

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

Statistica Sinica
2018 | Journal article
Part of ISSN: 10170405, 19968507
Source: Self-asserted source
Sam Davanloo Tajbakhsh

Multi-scale biological and physical modelling of the tumour micro-environment

Drug Discovery Today: Disease Models
2015 | Journal article
Part of ISSN: 1740-6757
Source: Self-asserted source
Sam Davanloo Tajbakhsh

A Bayesian Approach to Sequential Optimization based on Computer Experiments

Quality and Reliability Engineering International
2015-10 | Journal article
Part of ISSN: 0748-8017
Source: Self-asserted source
Sam Davanloo Tajbakhsh

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

Technometrics
2015-01-02 | Journal article
Part of ISSN: 0040-1706
Part of ISSN: 1537-2723
Source: Self-asserted source
Sam Davanloo Tajbakhsh

Phase II Monitoring of Nonlinear Profiles

Communications in Statistics - Theory and Methods
2009-05-20 | Journal article
Part of ISSN: 0361-0926
Part of ISSN: 1532-415X
Source: Self-asserted source
Sam Davanloo Tajbakhsh

An artificial neural network approach to multiple-response optimization

The International Journal of Advanced Manufacturing Technology
2009-02 | Journal article
Part of ISSN: 0268-3768
Part of ISSN: 1433-3015
Source: Self-asserted source
Sam Davanloo Tajbakhsh

Peer review (4 reviews for 3 publications/grants)

Review activity for European journal of operational research. (2)
Review activity for Journal of scientific computing. (1)
Review activity for Optimization letters. (1)