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Distributed Training Optimizers with Bhavesh Kumar
Distributed Training Optimizers with Bhavesh Kumar
Meet Bhavesh, a current CFRM master’s student and proud UW Computer Science alum. His research explores Optimization and Theoretical Machine Learning, with work presented at NeurIPS, IEEE CIFEr, and ICPRAM. From stochastic neural tangent kernels to large-learning-rate regimes and dynamic optimization in financial markets, Bhavesh pushes the boundaries of modern ML theory. Here is the link to his website. Join us on October 23 from 6:10pm - 7:00pm in CSE2 G01
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