Machine Learning and Algorithms
208 faculty research Machine Learning and Algorithms on GradNova.
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Chair, Department of Computer Science; Gerard P. Weeg Faculty Scholar in Informatics; Professor
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Associate Professor and Director of Graduate Studies
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Computational Techniques for Learning From Data That Are Highly Scalable With the Availability of the Compute
Working on Optimizers and Model Architecture Scaling Schemes That Would Allow Predictable and Efficient Training of Transformer Models Containing Hundreds of Billions of Parameters
Sparse and Compressive Sensing Techniques
Topic Modeling
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