Davoud Ataee Tarzanagh

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 34

Top Topics

Attention Mechanism

Optimization Problems

Canonical Correlation Analysis

Top Venues

J. Mach. Learn. Res.

IEEE Trans. Signal Process.

Publications

Davoud Ataee Tarzanagh, Parvin Nazari, Bojian Hou, Li Shen, Laura Balzano
Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods. AISTATS (2024)
Davoud Ataee Tarzanagh, Yingcong Li, Xuechen Zhang, Samet Oymak
Max-Margin Token Selection in Attention Mechanism. CoRR (2023)
Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Boning Tong, Jia Xu, Yanbo Feng, Qi Long, Li Shen
Fair Canonical Correlation Analysis. CoRR (2023)
Boning Tong, Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Andrew J. Saykin, Jason H. Moore, Marylyn D. Ritchie, Li Shen
Class-Balanced Deep Learning with Adaptive Vector Scaling Loss for Dementia Stage Detection. MLMI@MICCAI (2) (2023)
Davoud Ataee Tarzanagh, Yingcong Li, Christos Thrampoulidis, Samet Oymak
Transformers as Support Vector Machines. CoRR (2023)
Davoud Ataee Tarzanagh, Bojian Hou, Boning Tong, Qi Long, Li Shen
Fairness-aware class imbalanced learning on multiple subgroups. UAI (2023)
Zhuoping Zhou, Boning Tong, Davoud Ataee Tarzanagh, Bojian Hou, Andrew J. Saykin, Qi Long, Li Shen
Multi-Group Tensor Canonical Correlation Analysis. BCB (2023)
Davoud Ataee Tarzanagh, Mingchen Li, Pranay Sharma, Samet Oymak
Federated Multi-Sequence Stochastic Approximation with Local Hypergradient Estimation. CoRR (2023)
Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Boning Tong, Jia Xu, Yanbo Feng, Qi Long, Li Shen
Fair Canonical Correlation Analysis. NeurIPS (2023)
Davoud Ataee Tarzanagh, Yingcong Li, Xuechen Zhang, Samet Oymak
Max-Margin Token Selection in Attention Mechanism. NeurIPS (2023)
Davoud Ataee Tarzanagh, Laura Balzano
Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods. CoRR (2022)
Rishhabh Naik, Nisarg Trivedi, Davoud Ataee Tarzanagh, Laura Balzano
Truncated Matrix Completion - An Empirical Study. EUSIPCO (2022)
Davoud Ataee Tarzanagh, Mingchen Li, Christos Thrampoulidis, Samet Oymak
FedNest: Federated Bilevel, Minimax, and Compositional Optimization. ICML (2022)
Davoud Ataee Tarzanagh, George Michailidis
Regularized and Smooth Double Core Tensor Factorization for Heterogeneous Data. J. Mach. Learn. Res. 23 (2022)
Davoud Ataee Tarzanagh, Mingchen Li, Christos Thrampoulidis, Samet Oymak
FEDNEST: Federated Bilevel, Minimax, and Compositional Optimization. CoRR (2022)
Kyle Gilman, Davoud Ataee Tarzanagh, Laura Balzano
Grassmannian Optimization for Online Tensor Completion and Tracking With the t-SVD. IEEE Trans. Signal Process. 70 (2022)
Zhe Du, Yahya Sattar, Davoud Ataee Tarzanagh, Laura Balzano, Necmiye Ozay, Samet Oymak
Data-Driven Control of Markov Jump Systems: Sample Complexity and Regret Bounds. ACC (2022)
Parvin Nazari, Davoud Ataee Tarzanagh, George Michailidis
DAdam: A Consensus-Based Distributed Adaptive Gradient Method for Online Optimization. IEEE Trans. Signal Process. 70 (2022)
Yahya Sattar, Zhe Du, Davoud Ataee Tarzanagh, Samet Oymak, Laura Balzano, Necmiye Ozay
Certainty Equivalent Quadratic Control for Markov Jump Systems. ACC (2022)
Parvin Nazari, Ahmad Mousavi, Davoud Ataee Tarzanagh, George Michailidis
A Penalty Based Method for Communication-Efficient Decentralized Bilevel Programming. CoRR (2022)
Zhe Du, Yahya Sattar, Davoud Ataee Tarzanagh, Laura Balzano, Samet Oymak, Necmiye Ozay
Certainty Equivalent Quadratic Control for Markov Jump Systems. CoRR (2021)
Parvin Nazari, Esmaile Khorram, Davoud Ataee Tarzanagh
Adaptive online distributed optimization in dynamic environments. Optim. Methods Softw. 36 (5) (2021)
Yahya Sattar, Zhe Du, Davoud Ataee Tarzanagh, Laura Balzano, Necmiye Ozay, Samet Oymak
Identification and Adaptive Control of Markov Jump Systems: Sample Complexity and Regret Bounds. CoRR (2021)
Davoud Ataee Tarzanagh, Laura Balzano, Alfred O. Hero III
Fair Structure Learning in Heterogeneous Graphical Models. CoRR (2021)
Babak Barazandeh, Davoud Ataee Tarzanagh, George Michailidis
Solving a Class of Non-Convex Min-Max Games Using Adaptive Momentum Methods. ICASSP (2021)
Babak Barazandeh, Davoud Ataee Tarzanagh, George Michailidis
Solving a class of non-convex min-max games using adaptive momentum methods. CoRR (2021)
Parvin Nazari, Davoud Ataee Tarzanagh, George Michailidis
Adaptive First-and Zeroth-order Methods for Weakly Convex Stochastic Optimization Problems. CoRR (2020)
Davoud Ataee Tarzanagh, George Michailidis
Regularized and Smooth Double Core Tensor Factorization for Heterogeneous Data. CoRR (2019)
Davoud Ataee Tarzanagh, Mohamad Kazem Shirani Faradonbeh, George Michailidis
Online Distributed Estimation of Principal Eigenspaces. DSW (2019)
Davoud Ataee Tarzanagh, Mohamad Kazem Shirani Faradonbeh, George Michailidis
Online Distributed Estimation of Principal Eigenspaces. CoRR (2019)
Parvin Nazari, Davoud Ataee Tarzanagh, George Michailidis
DADAM: A Consensus-based Distributed Adaptive Gradient Method for Online Optimization. CoRR (2019)
Davoud Ataee Tarzanagh, George Michailidis
Fast Randomized Algorithms for t-Product Based Tensor Operations and Decompositions with Applications to Imaging Data. SIAM J. Imaging Sci. 11 (4) (2018)
Davoud Ataee Tarzanagh, George Michailidis
Estimation of Graphical Models through Structured Norm Minimization. J. Mach. Learn. Res. 18 (2017)
Davoud Ataee Tarzanagh, George Michailidis
Fast Monte Carlo Algorithms for Tensor Operations. CoRR (2017)