Sandeep Kumar

Orcid: 0000-0003-0415-8625

Affiliations:
  • Hong Kong University of Science and Technology, Department of Electronics and Communication Engineering, Hong Kong
  • Indian Institute of Technology Kanpur, Department of Electrical Engineering, India (PhD 2017)


According to our database1, Sandeep Kumar authored at least 21 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Unveiling Graph Structures for Machine Learning: Learning, Structuring, and Coarsening.
Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

2023
Estimating Normalized Graph Laplacians in Financial Markets.
Proceedings of the IEEE International Conference on Acoustics, 2023

Robust and Globally Sparse Pca via Majorization-Minimization and Variable Splitting.
Proceedings of the IEEE International Conference on Acoustics, 2023

2021
Majorization-Minimization on the Stiefel Manifold With Application to Robust Sparse PCA.
IEEE Trans. Signal Process., 2021

Parameter Estimation for Student's t VAR Model with Missing Data.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Student's $t$ VAR Modeling With Missing Data Via Stochastic EM and Gibbs Sampling.
IEEE Trans. Signal Process., 2020

A Unified Framework for Structured Graph Learning via Spectral Constraints.
J. Mach. Learn. Res., 2020

2019
Optimization Algorithms for Graph Laplacian Estimation via ADMM and MM.
IEEE Trans. Signal Process., 2019

Parameter Estimation of Heavy-Tailed AR Model With Missing Data Via Stochastic EM.
IEEE Trans. Signal Process., 2019

Distributed Inexact Successive Convex Approximation ADMM: Analysis-Part I.
CoRR, 2019

Structured Graph Learning Via Laplacian Spectral Constraints.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Parameter Estimation of Heavy-Tailed AR(p) Model from Incomplete Data.
Proceedings of the 27th European Signal Processing Conference, 2019

Robust Factor Analysis Parameter Estimation.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

Bipartite Structured Gaussian Graphical Modeling via Adjacency Spectral Priors.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
Parameter Estimation of Heavy-Tailed Random Walk Model from Incomplete Data.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Stochastic Multidimensional Scaling.
IEEE Trans. Signal Inf. Process. over Networks, 2017

Asynchronous Optimization Over Heterogeneous Networks Via Consensus ADMM.
IEEE Trans. Signal Inf. Process. over Networks, 2017

Distributed asynchronous localization over WSNs via non-convex consensus ADMM.
Proceedings of the Twenty-third National Conference on Communications, 2017

2016
Cooperative Localization of Mobile Networks Via Velocity-Assisted Multidimensional Scaling.
IEEE Trans. Signal Process., 2016

Distributed interference alignment for MIMO cellular network via consensus ADMM.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015
Velocity-assisted multidimensional scaling.
Proceedings of the 16th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2015


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