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Random Matrices and Applications

Random Matrices and Applications

12 faculty research Random Matrices and Applications on GradNova.

B
Gene Expression and Cancer Classification
Random Matrices and Applications
Single-Cell and Spatial Transcriptomics
Sparse and Compressive Sensing Techniques
+1
G
Security and Privacy
Statistical Methods and Inference
Privacy, Security, and Data Protection
Random Matrices and Applications
+2
O
Machine Learning and Algorithms
Markov Chains and Monte Carlo Methods
Random Matrices and Applications
Statistical Methods and Inference
+1
A
Complexity and Algorithms in Graphs
Markov Chains and Monte Carlo Methods
Random Matrices and Applications
Stochastic Processes and Statistical Mechanics
+1
M
Michał Dereziński

Assistant Professor, EECS – Computer Science and Engineering

Computer Science and Engineering

University of Michigan

Dimensionality Reduction
Machine Learning and Statistical Learning Theory
Randomized Numerical Linear Algebra
Scalable Stochastic and Distributed Optimization
+5
V
Information, Data, Network, and Communication Sciences (idncs)
Theory (thy)
Spectral Theory in Mathematical Physics
Quantum Chaos and Dynamical Systems
+1
A
Mathematical Programming
Theoretical Computer Science
Complexity and Algorithms in Graphs
Sparse and Compressive Sensing Techniques
+3
L
Advanced MIMO Systems Optimization
Cognitive Radio Networks and Spectrum Sensing
Cooperative Communication and Network Coding
Quantum Information and Cryptography
+1
S
Complexity and Algorithms in Graphs
Limits and Structures in Graph Theory
Markov Chains and Monte Carlo Methods
Random Matrices and Applications
+1
Z
Advanced Graph Theory Research
Constraint Satisfaction and Optimization
Markov Chains and Monte Carlo Methods
Random Matrices and Applications
+1
G
Complex Network Analysis Techniques
Markov Chains and Monte Carlo Methods
Random Matrices and Applications
Reliability and Maintenance Optimization
+1
A
Markov Chains and Monte Carlo Methods
Probability and Risk Models
Random Matrices and Applications
Statistical Methods and Inference
+4