University of Minnesota
University of Minnesota
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Publications: Journal Papers Submitted


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1.

K. D. Polyzos, Q. Lu, and G. B. Giannakis, "Ensemble Gaussian processes for online learning over graphs with adaptivity and scalability," IEEE Transactions on Signal Processing, submitted April 2021.


2.

M. K. Singh, V. Kekatos, and G. B. Giannakis, "Learning to Solve the AC-OPF using Sensitivity-Informed Deep Neural Networks," IEEE Transactions on Power Systems, submitted March 2021.


3.

P. A. Traganitis and G. B. Giannakis, "Bayesian Semi-Supervised Crowdsourcing," IEEE Transactions on Pattern Analysis and Machine Intelligence, submitted February 2021.


4.

Y. Dong, G. Wang, J. Chen, J. Hossain, G. B. Giannakis, and V. C. M. Leung, "Finite-Sample Analysis of Decentralized Q-learning with Linear Function Approximation," IEEE Transactions on Signal and Information Processing over Networks, submitted January 2021.


5.

A. Sadeghi, G. Wang, M. Ma, and G. B. Giannakis, "Learning while Respecting Privacy and Robustness to Distributional Uncertainties and Adversarial Data," IEEE Transactions on Signal Processing, submitted January 2021.


6.

B. Li, M. Coutino, G. B. Giannakis, and G. Leus, "A Momentum-Guided Frank-Wolfe Algorithm," IEEE Transactions on Signal Processing, submitted September 2020.


7.

Y. Dong, G. B. Giannakis, T. Chen, J. Cheng, J. Hossain, and V. C. M. Leung, "Communication-Efficient Robust Federated Learning Over Heterogeneous Datasets," IEEE Transactions on Neural Networks and Learning Systems, submitted August 2020.


8.

Q. Yang, A. Sadeghi, G. B. Giannakis, G. Wang, and J. Sun, "Data-driven Priors for Robust PSSE via Gauss-Newton Unrolled Neural Networks," IEEE Transactions on Signal Processing, submitted June 2020.


9.

V. N. Ioannidis and G. B. Giannakis, "GraphSAC: Identifying Anomalies and Robustifying Learning over Graphs," IEEE Transactions on Pattern Analysis and Machine Intelligence, submitted April 2020.


10.

G. Wang, B. Li, and G. B. Giannakis, "Finite-Time Analysis of Biased Stochastic Approximation with Application to Reinforcement Lear\ning," IEEE Transactions on Automatic Control, submitted March 2020.


11.

B. Li, M. Ma, and G. B. Giannakis, "Prox-L2S: Variance Reduction Methods with Controllable Exploration," IEEE Transactions on Signal Processing, submitted August 2019.


12.

M. Ma, B. Li, and G. B. Giannakis, "Tight Linear Convergence Rate of ADMM for Topology-aware Decentralized Optimization," IEEE Transactions on Signal Processing, submitted July 2019.


13.

B. Li, T. Chen, and G. B. Giannakis, "Multi-armed Bandit with Unknown Delays," IEEE Transactions on Automatic Control , submitted January 2019.


14.

G. V. Karanikolas, G. B. Giannakis, and R. M. Leahy, "Multi-kernel based nonlinear functional connectivity models," NeuroImage, submitted April 2017.