DSW

Publications

2019

Ping Xu, Zhi Tian, Zhe Zhang, Yue Wang
Coke: Communication-Censored Kernel Learning Via Random Features. DSW (2019)
Raksha Ramakrishna, Anna Scaglione
On Modeling Voltage Phasor Measurements as Graph Signals. DSW (2019)
Topi Halme, Martin Gölz, Visa Koivunen
Bayesian Multiple Hypothesis Testing For Distributed Detection In Sensor Networks. DSW (2019)
Mario Coutino, Geert Leus
Asynchronous Distributed Edge-Variant Graph Filters. DSW (2019)
Shih-Gu Huang, Moo K. Chung, Ian C. Carroll, H. Hill Goldsmith
Dynamic Functional Connectivity Using Heat Kernel. DSW (2019)
Sara Mourad, Haris Vikalo, Ahmed H. Tewfik
Online selective training for faster neural network learning. DSW (2019)
Man-Wai Un, Mingjie Shao, Wing-Kin Ma, P. C. Ching
Deep Mimo Detection Using ADMM Unfolding. DSW (2019)
Sina Miran, Jonathan Z. Simon, Michael C. Fu, Steven I. Marcus, Behtash Babadi
Estimation of State-Space Models with Gaussian Mixture Process Noise. DSW (2019)
Patrick Schlachter, Yiwen Liao, Bin Yang
Deep One-Class Classification Using Intra-Class Splitting. DSW (2019)
Ali Koochakzadeh, Piya Pal
Canonical Polyadic (CP) Decomposition of Structured Semi-Symmetric Fourth-Order Tensors. DSW (2019)
Emre Ozfatura, Deniz Gündüz, Sennur Ulukus
Gradient Coding with Clustering and Multi-Message Communication. DSW (2019)
Genevera I. Allen, Michael Weylandt
Sparse and Functional Principal Components Analysis. DSW (2019)
IEEE Data Science Workshop, DSW 2019, Minneapolis, MN, USA, June 2-5, 2019 DSW (2019)
Xuechao He, Qing Ling, Tianyi Chen
Byzantine-Robust Stochastic Gradient Descent for Distributed Low-Rank Matrix Completion. DSW (2019)
Davis Gilton, Greg Ongie, Rebecca Willett
Learning to Regularize Using Neumann Networks. DSW (2019)
Yanning Shen, Geert Leus
Scalable Learning with Privacy Over Graphs. DSW (2019)
Dingyu Wang, John Lipor, Gautam Dasarathy
Distance-Penalized Active Learning via Markov Decision Processes. DSW (2019)
Jiankun Wang, Shahrokh Valaee
Enhancing Medical Imaging Semantic Segmentation Using the Digital Annealer. DSW (2019)
Aria Ameri, Arindam Bose, Mojtaba Soltanalian
Comprehensive Personalized Ranking Using One-Bit Comparison Data. DSW (2019)
Sarod Yatawatta, Lukas De Clercq, Hanno Spreeuw, Faruk Diblen
A Stochastic LBFGS Algorithm for Radio Interferometric Calibration. DSW (2019)
Dario Bauso, Toru Namerikawa
Data-Driven Mean-Field Game Approximation for a Population of Electric Vehicles. DSW (2019)
Lenin Arango-Castillo, Glen Takahara
Long-Range Dependence Parameter Estimation For Mixed Spectra Gaussian Processes. DSW (2019)
Dominique Guillot, Alejandro Parada-Mayorga, Sebastian M. Cioaba, Gonzalo R. Arce
Optimal Sampling Sets in Cographs. DSW (2019)
Liam Madden, Stephen Becker, Emiliano Dall'Anese
Online Sparse Subspace Clustering. DSW (2019)
Alexander Ritchie, Clayton D. Scott, Laura Balzano, Daniel Kessler, Chandra Sekhar Sripada
Supervised Principal Component Analysis Via Manifold Optimization. DSW (2019)
Daniel B. Burkhardt, Jay S. Stanley III, Guy Wolf, Smita Krishnaswamy
Vertex-Frequency Clustering. DSW (2019)
Tianyi Yao, Genevera I. Allen
Clustered Gaussian Graphical Model Via Symmetric Convex Clustering. DSW (2019)
Michael Weylandt
Splitting Methods For Convex Bi-Clustering And Co-Clustering. DSW (2019)
Chang Ye, Gonzalo Mateos
Online Tensor Decomposition and Imputation for Count Data. DSW (2019)
Fakhteh Saadatniaki, Ran Xin, Usman A. Khan
Distributed Training with Mobile Agents: Optimization Over Dynamic Directed Graphs. DSW (2019)
Rebecca Chen, Lav R. Varshney
Non-Negative Matrix Factorization of Clustered Data with Missing Values. DSW (2019)
Panagiotis A. Traganitis
Blind Ensemble Classification of Sequential Data. DSW (2019)
Michael Krikheli, Amir Leshem
Lfinite Sample Bounds on the Performance of Weighted Linear Least Squares in Sub-Gaussian Correlated Noise. DSW (2019)
Magda Amiridi, Nikos Kargas, Nicholas D. Sidiropoulos
Statistical Learning Using Hierarchical Modeling of Probability Tensors. DSW (2019)
Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Jian Tang, Antonio Ortega
Structural Robustness for Deep Learning Architectures. DSW (2019)
Andersen Chang, Tianyi Yao, Genevera I. Allen
Graphical Models and Dynamic Latent Factors for Modeling Functional Brain Connectivity. DSW (2019)
Songtao Lu, Xinwei Zhang, Haoran Sun, Mingyi Hong
GNSD: a Gradient-Tracking Based Nonconvex Stochastic Algorithm for Decentralized Optimization. DSW (2019)
Tien Huu Do, Xiao Luo, Duc Minh Nguyen, Nikos Deligiannis
Rumour Detection Via News Propagation Dynamics and User Representation Learning. DSW (2019)
Anuththara Rupasinghe, Behtash Babadi
Multitaper Analysis of Evolutionary Spectral Density Matrix From Multivariate Spiking Observations. DSW (2019)
Dorcas Ofori-Boateng, Asim Kumer Dey, Yulia R. Gel, Binghui Li, Jie Zhang, H. Vincent Poor
Assessing the Resilience of the Texas Power Grid Network. DSW (2019)
Qin Lu, Vassilis N. Ioannidis, Georgios B. Giannakis
Semi-Supervised Tracking of Dynamic Processes Over Switching Graphs. DSW (2019)
Robiul Hossain Md. Rafi, Ali Cafer Gürbüz
Data Driven Measurement Matrix Learning for Sparse Reconstruction. DSW (2019)
Rasoul Shafipour, Abolfazl Hashemi, Gonzalo Mateos, Haris Vikalo
Online Topology Inference from Streaming Stationary Graph Signals. DSW (2019)
Cristian Genes, Iñaki Esnaola, Samir M. Perlaza, Daniel Coca
Recovery of Missing Data in Correlated Smart Grid Datasets. DSW (2019)
Or Ohev Shalom, Amir Leshem, Anna Scaglione
Localization of Data Injection Attacks on Distributed M-Estimation. DSW (2019)
Sean Mobilia, Birsen Sirkeci-Mergen, Joshua Deal, Thomas C. Rich, Silas J. Leavesley
Classification of Hyperspectral Colon Cancer Images Using Convolutional Neural Networks. DSW (2019)
Kejun Huang, Zhuoran Yang, Zhaoran Wang, Mingyi Hong
Learning Partially Observable Markov Decision Processes Using Coupled Canonical Polyadic Decomposition. DSW (2019)
Davoud Ataee Tarzanagh, Mohamad Kazem Shirani Faradonbeh, George Michailidis
Online Distributed Estimation of Principal Eigenspaces. DSW (2019)
Seung-Jun Kim, Rami Mowakeaa
Kernel-Based Efficient Lifelong Learning Algorithm. DSW (2019)
Liang Zhang, Gang Wang, Georgios B. Giannakis
Distribution System State Estimation Via Data-Driven and Physics-Aware Deep Neural Networks. DSW (2019)