D. Ataee Tarzanagh

Orcid: 0000-0003-1267-3889

According to our database1, D. Ataee Tarzanagh authored at least 31 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Transformers as Support Vector Machines.
CoRR, 2023

Federated Multi-Sequence Stochastic Approximation with Local Hypergradient Estimation.
CoRR, 2023

Fairness-aware class imbalanced learning on multiple subgroups.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Fair Canonical Correlation Analysis.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Max-Margin Token Selection in Attention Mechanism.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Class-Balanced Deep Learning with Adaptive Vector Scaling Loss for Dementia Stage Detection.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Multi-Group Tensor Canonical Correlation Analysis.
Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

2022
DAdam: A Consensus-Based Distributed Adaptive Gradient Method for Online Optimization.
IEEE Trans. Signal Process., 2022

Grassmannian Optimization for Online Tensor Completion and Tracking With the t-SVD.
IEEE Trans. Signal Process., 2022

Regularized and Smooth Double Core Tensor Factorization for Heterogeneous Data.
J. Mach. Learn. Res., 2022

A Penalty Based Method for Communication-Efficient Decentralized Bilevel Programming.
CoRR, 2022

Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods.
CoRR, 2022

FedNest: Federated Bilevel, Minimax, and Compositional Optimization.
Proceedings of the International Conference on Machine Learning, 2022

Truncated Matrix Completion - An Empirical Study.
Proceedings of the 30th European Signal Processing Conference, 2022

Certainty Equivalent Quadratic Control for Markov Jump Systems.
Proceedings of the American Control Conference, 2022

Data-Driven Control of Markov Jump Systems: Sample Complexity and Regret Bounds.
Proceedings of the American Control Conference, 2022

2021
Adaptive online distributed optimization in dynamic environments.
Optim. Methods Softw., 2021

Fair Structure Learning in Heterogeneous Graphical Models.
CoRR, 2021

Identification and Adaptive Control of Markov Jump Systems: Sample Complexity and Regret Bounds.
CoRR, 2021

Solving a Class of Non-Convex Min-Max Games Using Adaptive Momentum Methods.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Adaptive First-and Zeroth-order Methods for Weakly Convex Stochastic Optimization Problems.
CoRR, 2020

2019
Online Distributed Estimation of Principal Eigenspaces.
Proceedings of the IEEE Data Science Workshop, 2019

2018
Fast Randomized Algorithms for t-Product Based Tensor Operations and Decompositions with Applications to Imaging Data.
SIAM J. Imaging Sci., 2018

2017
Estimation of Graphical Models through Structured Norm Minimization.
J. Mach. Learn. Res., 2017

Fast Monte Carlo Algorithms for Tensor Operations.
CoRR, 2017

A nonmonotone PRP conjugate gradient method for solving square and under-determined systems of equations.
Comput. Math. Appl., 2017

2015
A new trust region method for solving least-square transformation of system of equalities and inequalities.
Optim. Lett., 2015

A New Nonmonotone Adaptive Retrospective Trust Region Method for Unconstrained Optimization Problems.
J. Optim. Theory Appl., 2015

A new regularized limited memory BFGS-type method based on modified secant conditions for unconstrained optimization problems.
J. Glob. Optim., 2015

A relaxed nonmonotone adaptive trust region method for solving unconstrained optimization problems.
Comput. Optim. Appl., 2015

2014
A new nonmonotone trust region method for unconstrained optimization equipped by an efficient adaptive radius.
Optim. Methods Softw., 2014


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