| 2024 | ICASSP | Proximal Bellman Mappings for Reinforcement Learning and Their Application to Robust Adaptive Filtering. | Yuki Akiyama, Konstantinos Slavakis |
| 2024 | ICASSP | Multi-Linear Kernel Regression and Imputation VIA Manifold Learning: the Dynamic MRI Case. | Duc Thien Nguyen, Konstantinos Slavakis |
| 2023 | ICASSP | Dynamic Selection of p-norm in Linear Adaptive Filtering via online Kernel-based Reinforcement Learning. | Minh Vu, Yuki Akiyama, Konstantinos Slavakis |
| 2021 | ICASSP | Outlier-Robust Kernel Hierarchical-Optimization RLS on a Budget with Affine Constraints. | Konstantinos Slavakis, Masahiro Yukawa |
| 2021 | ICASSP | Online Classification of Dynamic Multilayer-Network Time Series in Riemannian Manifolds. | Cong Ye, Konstantinos Slavakis, Johan Nakuci, Sarah Feldt Muldoon, John D. Medaglia |
| 2018 | ACSSC | Stochastic Composite Convex Minimization with Affine Constraints. | Konstantinos Slavakis |
| 2018 | ICASSP | Fast Projection-Based Solvers for the Non-Convex Quadratically Constrained Feasibility Problem. | Konstantinos Slavakis, Aritra Konar, Nicholas D. Sidiropoulos |
| 2017 | ICASSP | Accelerating the hybrid steepest descent method for affinely constrained convex composite minimization tasks. | Konstantinos Slavakis, Isao Yamada, Shunsuke Ono |
| 2016 | ACSSC | Clustering brain-network-connectivity states using kernel partial correlations. | Konstantinos Slavakis, Shiva Salsabilian, David S. Wack, Sarah Feldt Muldoon, Henry E. Baidoo-Williams, Jean M. Vettel, Matthew Cieslak, Scott T. Grafton |
| 2016 | ICASSP | Multi-kernel based nonlinear models for connectivity identification of brain networks. | G. V. Karanikolas, Georgios B. Giannakis, Konstantinos Slavakis, Richard M. Leahy |
| 2015 | ACSSC | Large-scale subspace clustering using random sketching and validation. | Panagiotis A. Traganitis, Konstantinos Slavakis, Georgios B. Giannakis |
| 2015 | AISTATS | Multi-Manifold Modeling in Non-Euclidean spaces. | Xu Wang, Konstantinos Slavakis, Gilad Lerman |
| 2015 | CISS | Spectral clustering of large-scale communities via random sketching and validation. | Panagiotis A. Traganitis, Konstantinos Slavakis, Georgios B. Giannakis |
| 2014 | ACSSC | Big data clustering via random sketching and validation. | Panagiotis A. Traganitis, Konstantinos Slavakis, Georgios B. Giannakis |
| 2014 | CISS | Linear minimum mean-square error estimation based on high-dimensional data with missing values. | Mahdi Zamanighomi, Zhengdao Wang, Konstantinos Slavakis, Georgios B. Giannakis |
| 2014 | ICASSP | Online dictionary learning from big data using accelerated stochastic approximation algorithms. | Konstantinos Slavakis, Georgios B. Giannakis |
| 2013 | CISS | Robust sparse embedding and reconstruction via dictionary learning. | Konstantinos Slavakis, Georgios B. Giannakis, Geert Leus |
| 2013 | ICASSP | Online robust portfolio risk management using total least-squares and parallel splitting algorithms. | Konstantinos Slavakis, Geert Leus, Georgios B. Giannakis |
| 2013 | ISCAS | Thresholding-based online algorithms of complexity comparable to sparse LMS methods. | Yannis Kopsinis, Konstantinos Slavakis, Sergios Theodoridis, Stephen McLaughlin |
| 2012 | ICASSP | Generalized thresholding sparsity-aware algorithm for low complexity online learning. | Yannis Kopsinis, Konstantinos Slavakis, Sergios Theodoridis, Steve McLaughlin |
| 2011 | ICASSP | Trading off communications bandwidth with accuracy in adaptive diffusion networks. | Symeon Chouvardas, Konstantinos Slavakis, Sergios Theodoridis |
| 2011 | ICASSP | Revisiting adaptive least-squares estimation and application to online sparse signal recovery. | Konstantinos Slavakis, Yannis Kopsinis, Sergios Theodoridis |
| 2010 | ICASSP | Adaptive algorithm for sparse system identification using projections onto weighted | Konstantinos Slavakis, Yannis Kopsinis, Sergios Theodoridis |
| 2010 | ICASSP | Multi-domain adaptive filtering by feasibility splitting. | Masahiro Yukawa, Konstantinos Slavakis, Isao Yamada |
| 2010 | ICPR | Edge Preserving Image Denoising in Reproducing Kernel Hilbert Spaces. | Pantelis Bouboulis, Sergios Theodoridis, Konstantinos Slavakis |
| 2009 | ICASSP | Affinely constrained online learning and its application to beamforming. | Konstantinos Slavakis, Sergios Theodoridis |
| 2008 | ISCAS | Sliding window online Kernel-based classification by projection mappings. | Konstantinos Slavakis, Sergios Theodoridis |
| 2007 | HCI | A Bayesian Network Approach to Semantic Labelling of Text Formatting in XML Corpora of Documents. | Florendia Fourli-Kartsouni, Konstantinos Slavakis, Georgios Kouroupetroglou, Sergios Theodoridis |
| 2007 | ICASSP | Online Kernel-Based Classification by Projections. | Konstantinos Slavakis, Sergios Theodoridis, Isao Yamada |
| 2006 | ICASSP | Robust Capon Beamforming by the Adaptive Projected Subgradient Method. | Konstantinos Slavakis, Masahiro Yukawa, Isao Yamada |
| 2006 | ISCAS | Adaptive projected subgradient method and its applications to robust signal processing. | Isao Yamada, Konstantinos Slavakis, Masahiro Yukawa, Renato L. G. Cavalcante |
| 2002 | ICASSP | Spectrum estimation of real vector wide sense stationary processes by the Hybrid Steepest Descent Method. | Konstantinos Slavakis, Isao Yamada, Kohichi Sakaniwa |
| 2001 | ICASSP | An efficient robust adaptive filtering scheme based on parallel subgradient projection techniques. | Isao Yamada, Konstantinos Slavakis, Kenyu Yamada |
| 2001 | ISCAS | Compactly supported matrix valued wavelets-biorthogonal unconditional bases. | Konstantinos Slavakis, Isao Yamada |