D. Ataee Tarzanagh

According to our database, D. Ataee Tarzanagh authored at least 35 papers between 2014 and 2024.

Collaborative distances:

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

2024

Optimizing Attention with Mirror Descent: Generalized Max-Margin Token Selection.

Aaron Alvarado Kristanto Julistiono, Davoud Ataee Tarzanagh, Navid Azizan

CoRR, 2024

Clustering Alzheimer's Disease Subtypes via Similarity Learning and Graph Diffusion.

Tianyi Wei, Shu Yang, Davoud Ataee Tarzanagh, Jingxuan Bao, Jia Xu, Patryk Orzechowski, Joost B. Wagenaar, Qi Long, Li Shen

CoRR, 2024

Fairness-Aware Estimation of Graphical Models.

Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Qi Long, Li Shen

CoRR, 2024

Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods.

Davoud Ataee Tarzanagh, Parvin Nazari, Bojian Hou, Li Shen, Laura Balzano

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

2023

Transformers as Support Vector Machines.

Davoud Ataee Tarzanagh, Yingcong Li, Christos Thrampoulidis, Samet Oymak

CoRR, 2023

Federated Multi-Sequence Stochastic Approximation with Local Hypergradient Estimation.

Davoud Ataee Tarzanagh, Mingchen Li, Pranay Sharma, Samet Oymak

CoRR, 2023

Fairness-aware class imbalanced learning on multiple subgroups.

Davoud Ataee Tarzanagh, Bojian Hou, Boning Tong, Qi Long, Li Shen

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Fair Canonical Correlation Analysis.

Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Boning Tong, Jia Xu, Yanbo Feng, Qi Long, Li Shen

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.

Davoud Ataee Tarzanagh, Yingcong Li, Xuechen Zhang, Samet Oymak

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.

Boning Tong, Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Andrew J. Saykin, Jason H. Moore, Marylyn D. Ritchie, Li Shen

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Multi-Group Tensor Canonical Correlation Analysis.

Zhuoping Zhou, Boning Tong, Davoud Ataee Tarzanagh, Bojian Hou, Andrew J. Saykin, Qi Long, Li Shen

Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

2022

DAdam: A Consensus-Based Distributed Adaptive Gradient Method for Online Optimization.

Parvin Nazari, Davoud Ataee Tarzanagh, George Michailidis

IEEE Trans. Signal Process., 2022

Grassmannian Optimization for Online Tensor Completion and Tracking With the t-SVD.

Kyle Gilman, Davoud Ataee Tarzanagh, Laura Balzano

IEEE Trans. Signal Process., 2022

Regularized and Smooth Double Core Tensor Factorization for Heterogeneous Data.

Davoud Ataee Tarzanagh, George Michailidis

J. Mach. Learn. Res., 2022

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

Parvin Nazari, Ahmad Mousavi, Davoud Ataee Tarzanagh, George Michailidis

CoRR, 2022

Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods.

Davoud Ataee Tarzanagh, Laura Balzano

CoRR, 2022

FedNest: Federated Bilevel, Minimax, and Compositional Optimization.

Davoud Ataee Tarzanagh, Mingchen Li, Christos Thrampoulidis, Samet Oymak

Proceedings of the International Conference on Machine Learning, 2022

Truncated Matrix Completion - An Empirical Study.

Rishhabh Naik, Nisarg Trivedi, Davoud Ataee Tarzanagh, Laura Balzano

Proceedings of the 30th European Signal Processing Conference, 2022

Certainty Equivalent Quadratic Control for Markov Jump Systems.

Yahya Sattar, Zhe Du, Davoud Ataee Tarzanagh, Samet Oymak, Laura Balzano, Necmiye Ozay

Proceedings of the American Control Conference, 2022

Data-Driven Control of Markov Jump Systems: Sample Complexity and Regret Bounds.

Zhe Du, Yahya Sattar, Davoud Ataee Tarzanagh, Laura Balzano, Necmiye Ozay, Samet Oymak

Proceedings of the American Control Conference, 2022

2021

Adaptive online distributed optimization in dynamic environments.

Parvin Nazari, Esmaile Khorram, Davoud Ataee Tarzanagh

Optim. Methods Softw., 2021

Fair Structure Learning in Heterogeneous Graphical Models.

Davoud Ataee Tarzanagh, Laura Balzano, Alfred O. Hero III

CoRR, 2021

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

Yahya Sattar, Zhe Du, Davoud Ataee Tarzanagh, Laura Balzano, Necmiye Ozay, Samet Oymak

CoRR, 2021

Solving a Class of Non-Convex Min-Max Games Using Adaptive Momentum Methods.

Babak Barazandeh, Davoud Ataee Tarzanagh, George Michailidis

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

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

Parvin Nazari, Davoud Ataee Tarzanagh, George Michailidis

CoRR, 2020

2019

Online Distributed Estimation of Principal Eigenspaces.

Davoud Ataee Tarzanagh, Mohamad Kazem Shirani Faradonbeh, George Michailidis

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.

Davoud Ataee Tarzanagh, George Michailidis

SIAM J. Imaging Sci., 2018

2017

Estimation of Graphical Models through Structured Norm Minimization.

Davoud Ataee Tarzanagh, George Michailidis

J. Mach. Learn. Res., 2017

Fast Monte Carlo Algorithms for Tensor Operations.

Davoud Ataee Tarzanagh, George Michailidis

CoRR, 2017

A nonmonotone PRP conjugate gradient method for solving square and under-determined systems of equations.

D. Ataee Tarzanagh, Parvin Nazari, M. Reza Peyghami

Comput. Math. Appl., 2017

2015

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

D. Ataee Tarzanagh, Z. Saeidian, M. Reza Peyghami, Hamid Mesgrani

Optim. Lett., 2015

A New Nonmonotone Adaptive Retrospective Trust Region Method for Unconstrained Optimization Problems.

D. Ataee Tarzanagh, M. Reza Peyghami, Fabian Bastin

J. Optim. Theory Appl., 2015

A new regularized limited memory BFGS-type method based on modified secant conditions for unconstrained optimization problems.

D. Ataee Tarzanagh, M. Reza Peyghami

J. Glob. Optim., 2015

A relaxed nonmonotone adaptive trust region method for solving unconstrained optimization problems.

M. Reza Peyghami, D. Ataee Tarzanagh

Comput. Optim. Appl., 2015

2014

A new nonmonotone trust region method for unconstrained optimization equipped by an efficient adaptive radius.

D. Ataee Tarzanagh, M. Reza Peyghami, Hamid Mesgrani

Optim. Methods Softw., 2014