M
Michał Dereziński
Assistant Professor, EECS – Computer Science and Engineering
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Research Interests
Dimensionality Reduction
Machine Learning and Statistical Learning Theory
Randomized Numerical Linear Algebra
Scalable Stochastic and Distributed Optimization
Stochastic Gradient Optimization Techniques
Sparse and Compressive Sensing Techniques
Machine Learning and Algorithms
Random Matrices and Applications
Markov Chains and Monte Carlo Methods
Academic Metrics
Links
Grants
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