Konstantinos Slavakis

114 papers A 1B 1C 3Misc 25Journal 61Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	External Division of Two Bregman Proximity Operators for Poisson Inverse Problems. CoRR Kazuki Haishima, Kyohei Suzuki, Konstantinos Slavakis
2025	—	`conf`	Estimating Dynamic Graph Flows with Kernel Models and Hadamard-Structured Riemannian Constraints. APSIPA Duc Thien Nguyen, Konstantinos Slavakis, Dimitris Pados
2025	J	`jnl`	Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning. CoRR Minh Vu, Konstantinos Slavakis
2025	J	`jnl`	Imputation of time-varying edge flows in graphs by multilinear kernel regression and manifold learning. Signal Process. Duc Thien Nguyen, Konstantinos Slavakis, Dimitris Pados
2025	J	`jnl`	Kernel Regression of Multi-Way Data via Tensor Trains with Hadamard Overparametrization: The Dynamic Graph Flow Case. CoRR Duc Thien Nguyen, Konstantinos Slavakis, Eleftherios Kofidis, Dimitris Pados
2025	J	`jnl`	LogosQ: A High-Performance and Type-Safe Quantum Computing Library in Rust. CoRR Shiwen An, Jiayi Wang, Konstantinos Slavakis
2025	J	`jnl`	Model-Free Adversarial Purification via Coarse-To-Fine Tensor Network Representation. CoRR Guang Lin, Duc Thien Nguyen, Zerui Tao, Konstantinos Slavakis, Toshihisa Tanaka, Qibin Zhao
2025	J	`jnl`	Nonconvex Regularization for Feature Selection in Reinforcement Learning. CoRR Kyohei Suzuki, Konstantinos Slavakis
2025	J	`jnl`	Nonparametric Bellman Mappings for Value Iteration in Distributed Reinforcement Learning. CoRR Yuki Akiyama, Konstantinos Slavakis
2025	J	`jnl`	Online reinforcement learning via sparse Gaussian mixture model Q-functions. CoRR Minh Vu, Konstantinos Slavakis
2025	—	`conf`	Riemannian Q-Functions for Policy Iteration in Reinforcement Learning. EUSIPCO Minh Vu, Konstantinos Slavakis
2025	J	`jnl`	Robust Invariant Representation Learning by Distribution Extrapolation. CoRR Kotaro Yoshida, Konstantinos Slavakis
2024	J	`jnl`	Gaussian-Mixture-Model Q-Functions for Reinforcement Learning by Riemannian Optimization. CoRR Minh Vu, Konstantinos Slavakis
2024	J	`jnl`	Imputation of Time-varying Edge Flows in Graphs by Multilinear Kernel Regression and Manifold Learning. CoRR Duc Thien Nguyen, Konstantinos Slavakis, Dimitris Pados
2024	Misc	`conf`	Multi-Linear Kernel Regression and Imputation VIA Manifold Learning: the Dynamic MRI Case. ICASSP Duc Thien Nguyen, Konstantinos Slavakis
2024	J	`jnl`	Multilinear Kernel Regression and Imputation via Manifold Learning. CoRR Duc Thien Nguyen, Konstantinos Slavakis
2024	J	`jnl`	Nonparametric Bellman Mappings for Reinforcement Learning: Application to Robust Adaptive Filtering. CoRR Yuki Akiyama, Minh Vu, Konstantinos Slavakis
2024	J	`jnl`	Nonparametric Bellman Mappings for Reinforcement Learning: Application to Robust Adaptive Filtering. IEEE Trans. Signal Process. Yuki Akiyama, Minh Vu, Konstantinos Slavakis
2024	Misc	`conf`	Proximal Bellman Mappings for Reinforcement Learning and Their Application to Robust Adaptive Filtering. ICASSP Yuki Akiyama, Konstantinos Slavakis
2023	Misc	`conf`	Dynamic Selection of p-norm in Linear Adaptive Filtering via online Kernel-based Reinforcement Learning. ICASSP Minh Vu, Yuki Akiyama, Konstantinos Slavakis
2023	J	`jnl`	Multi-Linear Kernel Regression and Imputation in Data Manifolds. CoRR Duc Thien Nguyen, Konstantinos Slavakis
2023	J	`jnl`	Proximal Bellman mappings for reinforcement learning and their application to robust adaptive filtering. CoRR Yuki Akiyama, Konstantinos Slavakis
2022	J	`jnl`	Dynamic selection of p-norm in linear adaptive filtering via online kernel-based reinforcement learning. CoRR Minh Vu, Yuki Akiyama, Konstantinos Slavakis
2022	J	`jnl`	Kernel Regression Imputation in Manifolds Via Bi-Linear Modeling: The Dynamic-MRI Case. IEEE Trans. Computational Imaging Konstantinos Slavakis, Gaurav N. Shetty, Loris Cannelli, Gesualdo Scutari, Ukash Nakarmi, Leslie Ying
2022	J	`jnl`	online and lightweight kernel-based approximated policy iteration for dynamic p-norm linear adaptive filtering. CoRR Yuki Akiyama, Minh Vu, Konstantinos Slavakis
2021	J	`jnl`	Network clustering via kernel-ARMA modeling and the Grassmannian: The brain-network case. Signal Process. Cong Ye, Konstantinos Slavakis, Pratik V. Patil, Johan Nakuci, Sarah Feldt Muldoon, John D. Medaglia
2021	Misc	`conf`	Online Classification of Dynamic Multilayer-Network Time Series in Riemannian Manifolds. ICASSP Cong Ye, Konstantinos Slavakis, Johan Nakuci, Sarah Feldt Muldoon, John D. Medaglia
2021	Misc	`conf`	Outlier-Robust Kernel Hierarchical-Optimization RLS on a Budget with Affine Constraints. ICASSP Konstantinos Slavakis, Masahiro Yukawa
2020	J	`jnl`	Bi-Linear Modeling of Data Manifolds for Dynamic-MRI Recovery. IEEE Trans. Medical Imaging Gaurav N. Shetty, Konstantinos Slavakis, Abhishek Bose, Ukash Nakarmi, Gesualdo Scutari, Leslie Ying
2020	—	`conf`	Kernel Bi-Linear Modeling for Reconstructing Data on Manifolds: The Dynamic-MRI Case. EUSIPCO Gaurav N. Shetty, Konstantinos Slavakis, Ukash Nakarmi, Gesualdo Scutari, Leslie Ying
2020	J	`jnl`	Kernel Bi-Linear Modeling for Reconstructing Data on Manifolds: The Dynamic-MRI Case. CoRR Gaurav N. Shetty, Konstantinos Slavakis, Ukash Nakarmi, Gesualdo Scutari, Leslie Ying
2020	J	`jnl`	Network Clustering Via Kernel-ARMA Modeling and the Grassmannian The Brain-Network Case. CoRR Cong Ye, Konstantinos Slavakis, Pratik V. Patil, Johan Nakuci, Sarah Feldt Muldoon, John D. Medaglia
2020	J	`jnl`	Robust Hierarchical-Optimization RLS Against Sparse Outliers. IEEE Signal Process. Lett. Konstantinos Slavakis, Sinjini Banerjee
2019	J	`jnl`	Brain-Network Clustering via Kernel-ARMA Modeling and the Grassmannian. CoRR Cong Ye, Konstantinos Slavakis, Pratik V. Patil, Sarah Feldt Muldoon, John D. Medaglia
2019	J	`jnl`	Robust Hierarchical-Optimization RLS Against Sparse Outliers. CoRR Konstantinos Slavakis, Sinjini Banerjee
2019	J	`jnl`	The Stochastic Fejér-Monotone Hybrid Steepest Descent Method and the Hierarchical RLS. IEEE Trans. Signal Process. Konstantinos Slavakis
2018	J	`jnl`	Bi-Linear Modeling of Data Manifolds for Dynamic-MRI Recovery. CoRR Gaurav N. Shetty, Konstantinos Slavakis, Abhishek Bose, Ukash Nakarmi, Leslie Ying, Gesualdo Scutari
2018	J	`jnl`	Clustering Brain-Network Time Series by Riemannian Geometry. IEEE Trans. Signal Inf. Process. over Networks Konstantinos Slavakis, Shiva Salsabilian, David S. Wack, Sarah Feldt Muldoon, Henry E. Baidoo-Williams, Jean M. Vettel, Matthew Cieslak, Scott T. Grafton
2018	Misc	`conf`	Fast Projection-Based Solvers for the Non-Convex Quadratically Constrained Feasibility Problem. ICASSP Konstantinos Slavakis, Aritra Konar, Nicholas D. Sidiropoulos
2018	—	`conf`	MLS: Joint manifold-learning and sparsity-aware framework for highly accelerated dynamic magnetic resonance imaging. ISBI Ukash Nakarmi, Konstantinos Slavakis, Leslie Ying
2018	Misc	`conf`	Stochastic Composite Convex Minimization with Affine Constraints. ACSSC Konstantinos Slavakis
2017	Misc	`conf`	Accelerating the hybrid steepest descent method for affinely constrained convex composite minimization tasks. ICASSP Konstantinos Slavakis, Isao Yamada, Shunsuke Ono
2017	—	`conf`	Bi-Linear modeling of manifold-data geometry for Dynamic-MRI recovery. CAMSAP Konstantinos Slavakis, Gaurav N. Shetty, Abhishek Bose, Ukash Nakarmi, Leslie Ying
2017	—	`conf`	M-MRI: A manifold-based framework to highly accelerated dynamic magnetic resonance imaging. ISBI Ukash Nakarmi, Konstantinos Slavakis, Jingyuan Lyu, Leslie Ying
2017	J	`jnl`	Riemannian-geometry-based modeling and clustering of network-wide non-stationary time series: The brain-network case. CoRR Konstantinos Slavakis, Shiva Salsabilian, David S. Wack, Sarah Feldt Muldoon, Henry E. Baidoo-Williams, Jean M. Vettel, Matthew Cieslak, Scott T. Grafton
2016	—	`conf`	Accelerating dynamic magnetic resonance imaging by nonlinear sparse coding. ISBI Ukash Nakarmi, Yihang Zhou, Jingyuan Lyu, Konstantinos Slavakis, Leslie Ying
2016	Misc	`conf`	Clustering brain-network-connectivity states using kernel partial correlations. ACSSC Konstantinos Slavakis, Shiva Salsabilian, David S. Wack, Sarah Feldt Muldoon, Henry E. Baidoo-Williams, Jean M. Vettel, Matthew Cieslak, Scott T. Grafton
2016	—	`conf`	Clustering time-varying connectivity networks by riemannian geometry: The brain-network case. SSP Konstantinos Slavakis, Shiva Salsabilian, David S. Wack, Sarah Feldt Muldoon
2016	Misc	`conf`	Multi-kernel based nonlinear models for connectivity identification of brain networks. ICASSP G. V. Karanikolas, Georgios B. Giannakis, Konstantinos Slavakis, Richard M. Leahy
2015	Misc	`conf`	Large-scale subspace clustering using random sketching and validation. ACSSC Panagiotis A. Traganitis, Konstantinos Slavakis, Georgios B. Giannakis
2015	J	`jnl`	Large-scale subspace clustering using sketching and validation. CoRR Panagiotis A. Traganitis, Konstantinos Slavakis, Georgios B. Giannakis
2015	A	`conf`	Multi-Manifold Modeling in Non-Euclidean spaces. AISTATS Xu Wang, Konstantinos Slavakis, Gilad Lerman
2015	J	`jnl`	Sketch and Validate for Big Data Clustering. CoRR Panagiotis A. Traganitis, Konstantinos Slavakis, Georgios B. Giannakis
2015	J	`jnl`	Sketch and Validate for Big Data Clustering. IEEE J. Sel. Top. Signal Process. Panagiotis A. Traganitis, Konstantinos Slavakis, Georgios B. Giannakis
2015	Misc	`conf`	Spectral clustering of large-scale communities via random sketching and validation. CISS Panagiotis A. Traganitis, Konstantinos Slavakis, Georgios B. Giannakis
2014	Misc	`conf`	Big data clustering via random sketching and validation. ACSSC Panagiotis A. Traganitis, Konstantinos Slavakis, Georgios B. Giannakis
2014	—	`conf`	Clustering high-dimensional data via random sampling and consensus. GlobalSIP Panagiotis A. Traganitis, Konstantinos Slavakis, Georgios B. Giannakis
2014	Misc	`conf`	Linear minimum mean-square error estimation based on high-dimensional data with missing values. CISS Mahdi Zamanighomi, Zhengdao Wang, Konstantinos Slavakis, Georgios B. Giannakis
2014	J	`jnl`	Modeling and Optimization for Big Data Analytics: (Statistical) learning tools for our era of data deluge. IEEE Signal Process. Mag. Konstantinos Slavakis, Georgios B. Giannakis, Gonzalo Mateos
2014	Misc	`conf`	Online dictionary learning from big data using accelerated stochastic approximation algorithms. ICASSP Konstantinos Slavakis, Georgios B. Giannakis
2014	J	`jnl`	Riemannian Multi-Manifold Modeling. CoRR Xu Wang, Konstantinos Slavakis, Gilad Lerman
2014	J	`jnl`	Stochastic Approximation vis-a-vis Online Learning for Big Data Analytics [Lecture Notes]. IEEE Signal Process. Mag. Konstantinos Slavakis, Seung-Jun Kim, Gonzalo Mateos, Georgios B. Giannakis
2013	—	`conf`	Generalized Iterative Thresholding for Sparsity-Aware Online Volterra System Identification. ISWCS Konstantinos Slavakis, Yannis Kopsinis, Sergios Theodoridis, Georgios B. Giannakis, Vassilis Kekatos
2013	J	`jnl`	Generalized Thresholding and Online Sparsity-Aware Learning in a Union of Subspaces. IEEE Trans. Signal Process. Konstantinos Slavakis, Yannis Kopsinis, Sergios Theodoridis, Stephen McLaughlin
2013	—	`conf`	New operators for fixed-point theory: The sparsity-aware learning case. EUSIPCO Konstantinos Slavakis, Yannis Kopsinis, Sergios Theodoridis
2013	Misc	`conf`	Online robust portfolio risk management using total least-squares and parallel splitting algorithms. ICASSP Konstantinos Slavakis, Geert Leus, Georgios B. Giannakis
2013	Misc	`conf`	Robust sparse embedding and reconstruction via dictionary learning. CISS Konstantinos Slavakis, Georgios B. Giannakis, Geert Leus
2013	—	`conf`	Sparsity-Aware Adaptive Learning: A Set Theoretic Estimation Approach. ALCOSP Sergios Theodoridis, Yannis Kopsinis, Konstantinos Slavakis, Symeon Chouvardas
2013	J	`jnl`	Stochastic Analysis of Hyperslab-Based Adaptive Projected Subgradient Method Under Bounded Noise. IEEE Signal Process. Lett. Symeon Chouvardas, Konstantinos Slavakis, Sergios Theodoridis, Isao Yamada
2013	J	`jnl`	The Adaptive Projected Subgradient Method Constrained by Families of Quasi-nonexpansive Mappings and Its Application to Online Learning. SIAM J. Optim. Konstantinos Slavakis, Isao Yamada
2013	C	`conf`	Thresholding-based online algorithms of complexity comparable to sparse LMS methods. ISCAS Yannis Kopsinis, Konstantinos Slavakis, Sergios Theodoridis, Stephen McLaughlin
2013	J	`jnl`	Trading off Complexity With Communication Costs in Distributed Adaptive Learning via Krylov Subspaces for Dimensionality Reduction. IEEE J. Sel. Top. Signal Process. Symeon Chouvardas, Konstantinos Slavakis, Sergios Theodoridis
2012	J	`jnl`	A Sparsity Promoting Adaptive Algorithm for Distributed Learning. IEEE Trans. Signal Process. Symeon Chouvardas, Konstantinos Slavakis, Yannis Kopsinis, Sergios Theodoridis
2012	J	`jnl`	Adaptive Learning in Complex Reproducing Kernel Hilbert Spaces Employing Wirtinger's Subgradients. IEEE Trans. Neural Networks Learn. Syst. Pantelis Bouboulis, Konstantinos Slavakis, Sergios Theodoridis
2012	J	`jnl`	Adaptive Multiregression in Reproducing Kernel Hilbert Spaces: The Multiaccess MIMO Channel Case. IEEE Trans. Neural Networks Learn. Syst. Konstantinos Slavakis, Pantelis Bouboulis, Sergios Theodoridis
2012	Misc	`conf`	Generalized thresholding sparsity-aware algorithm for low complexity online learning. ICASSP Yannis Kopsinis, Konstantinos Slavakis, Sergios Theodoridis, Steve McLaughlin
2012	J	`jnl`	Sparsity-Aware Learning and Compressed Sensing: An Overview CoRR Sergios Theodoridis, Yannis Kopsinis, Konstantinos Slavakis
2012	—	`conf`	Sparsity-promoting adaptive algorithm for distributed learning in diffusion networks. EUSIPCO Symeon Chouvardas, Konstantinos Slavakis, Yannis Kopsinis, Sergios Theodoridis
2011	J	`jnl`	A Sparsity-Aware Adaptive Algorithm for Distributed Learning CoRR Symeon Chouvardas, Konstantinos Slavakis, Yannis Kopsinis, Sergios Theodoridis
2011	J	`jnl`	Adaptive Learning in a World of Projections. IEEE Signal Process. Mag. Sergios Theodoridis, Konstantinos Slavakis, Isao Yamada
2011	J	`jnl`	Adaptive Robust Distributed Learning in Diffusion Sensor Networks. IEEE Trans. Signal Process. Symeon Chouvardas, Konstantinos Slavakis, Sergios Theodoridis
2011	J	`jnl`	Generalized Thresholding Sparsity-Aware Online Learning in a Union of Subspaces CoRR Yannis Kopsinis, Konstantinos Slavakis, Sergios Theodoridis, Steve McLaughlin
2011	J	`jnl`	Online Sparse System Identification and Signal Reconstruction Using Projections Onto Weighted ell IEEE Trans. Signal Process. Yannis Kopsinis, Konstantinos Slavakis, Sergios Theodoridis
2011	—	`conf`	Reduced complexity online sparse signal reconstruction using projections onto weighted ℓ1 balls. DSP Yannis Kopsinis, Konstantinos Slavakis, Sergios Theodoridis, Steve McLaughlin
2011	Misc	`conf`	Revisiting adaptive least-squares estimation and application to online sparse signal recovery. ICASSP Konstantinos Slavakis, Yannis Kopsinis, Sergios Theodoridis
2011	—	`conf`	Robust adaptive sparse system identification by using weighted l1 balls and Moreau envelopes. EUSIPCO Konstantinos Slavakis, Yannis Kopsinis, Sergios Theodoridis
2011	Misc	`conf`	Trading off communications bandwidth with accuracy in adaptive diffusion networks. ICASSP Symeon Chouvardas, Konstantinos Slavakis, Sergios Theodoridis
2010	—	`conf`	A novel adaptive algorithm for diffusion networks using projections onto hyperslabs. CIP Symeon Chouvardas, Konstantinos Slavakis, Sergios Theodoridis
2010	J	`jnl`	Adaptive Kernel-Based Image Denoising Employing Semi-Parametric Regularization. IEEE Trans. Image Process. Pantelis Bouboulis, Konstantinos Slavakis, Sergios Theodoridis
2010	Misc	`conf`	Adaptive algorithm for sparse system identification using projections onto weighted ICASSP Konstantinos Slavakis, Yannis Kopsinis, Sergios Theodoridis
2010	J	`jnl`	Asymptotic minimization of sequences of loss functions constrained by families of quasi-nonexpansive mappings and its application to online learning CoRR Konstantinos Slavakis, Isao Yamada
2010	B	`conf`	Edge Preserving Image Denoising in Reproducing Kernel Hilbert Spaces. ICPR Pantelis Bouboulis, Sergios Theodoridis, Konstantinos Slavakis
2010	J	`jnl`	Multi-Domain Adaptive Learning Based on Feasibility Splitting and Adaptive Projected Subgradient Method. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Masahiro Yukawa, Konstantinos Slavakis, Isao Yamada
2010	Misc	`conf`	Multi-domain adaptive filtering by feasibility splitting. ICASSP Masahiro Yukawa, Konstantinos Slavakis, Isao Yamada
2010	J	`jnl`	Online Sparse System Identification and Signal Reconstruction using Projections onto Weighted ℓ CoRR Yannis Kopsinis, Konstantinos Slavakis, Sergios Theodoridis
2009	J	`jnl`	Adaptive constrained learning in reproducing Kernel Hilbert spaces: the robust beamforming case. IEEE Trans. Signal Process. Konstantinos Slavakis, Sergios Theodoridis, Isao Yamada
2009	Misc	`conf`	Affinely constrained online learning and its application to beamforming. ICASSP Konstantinos Slavakis, Sergios Theodoridis
2009	—	`conf`	Signal processing in dual domain by adaptive projected subgradient method. DPS Masahiro Yukawa, Konstantinos Slavakis, Isao Yamada
2008	J	`jnl`	Online Kernel-Based Classification Using Adaptive Projection Algorithms. IEEE Trans. Signal Process. Konstantinos Slavakis, Sergios Theodoridis, Isao Yamada
2008	—	`conf`	Robust adaptive nonlinear beamforming by kernels and projection mappings. EUSIPCO Konstantinos Slavakis, Sergios Theodoridis, Isao Yamada
2008	J	`jnl`	Sliding Window Generalized Kernel Affine Projection Algorithm Using Projection Mappings. EURASIP J. Adv. Signal Process. Konstantinos Slavakis, Sergios Theodoridis
2008	C	`conf`	Sliding window online Kernel-based classification by projection mappings. ISCAS Konstantinos Slavakis, Sergios Theodoridis
2007	—	`conf`	A Bayesian Network Approach to Semantic Labelling of Text Formatting in XML Corpora of Documents. HCI (7) Florendia Fourli-Kartsouni, Konstantinos Slavakis, Georgios Kouroupetroglou, Sergios Theodoridis
2007	J	`jnl`	Adaptive Parallel Quadratic-Metric Projection Algorithms. IEEE Trans. Speech Audio Process. Masahiro Yukawa, Konstantinos Slavakis, Isao Yamada
2007	—	`conf`	Online Kernel-Based Classification by Projections. ICASSP (2) Konstantinos Slavakis, Sergios Theodoridis, Isao Yamada
2007	J	`jnl`	Robust Wideband Beamforming by the Hybrid Steepest Descent Method. IEEE Trans. Signal Process. Konstantinos Slavakis, Isao Yamada
2006	C	`conf`	Adaptive projected subgradient method and its applications to robust signal processing. ISCAS Isao Yamada, Konstantinos Slavakis, Masahiro Yukawa, Renato L. G. Cavalcante
2006	—	`conf`	Robust Capon Beamforming by the Adaptive Projected Subgradient Method. ICASSP (4) Konstantinos Slavakis, Masahiro Yukawa, Isao Yamada
2003	J	`jnl`	Computation of symmetric positive definite Toeplitz matrices by the hybrid steepest descent method. Signal Process. Konstantinos Slavakis, Isao Yamada, Kohichi Sakaniwa
2002	J	`jnl`	An efficient robust adaptive filtering algorithm based on parallel subgradient projection techniques. IEEE Trans. Signal Process. Isao Yamada, Konstantinos Slavakis, Kenyu Yamada
2002	Misc	`conf`	Spectrum estimation of real vector wide sense stationary processes by the Hybrid Steepest Descent Method. ICASSP Konstantinos Slavakis, Isao Yamada, Kohichi Sakaniwa
2001	Misc	`conf`	An efficient robust adaptive filtering scheme based on parallel subgradient projection techniques. ICASSP Isao Yamada, Konstantinos Slavakis, Kenyu Yamada
2001	—	`conf`	Compactly supported matrix valued wavelets-biorthogonal unconditional bases. ISCAS (2) Konstantinos Slavakis, Isao Yamada
1999	—	`conf`	Biorthogonal bases of compactly supported matrix valued wavelets. ISSPA Konstantinos Slavakis, Isao Yamada