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University of Texas at Dallas
- Dallas
- www.rishiyer.com
- @rishiyer
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AdvancedOptML
AdvancedOptML PublicCS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning
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OptimizationDemos
OptimizationDemos PublicSome simple demos I use in my optimization in ML course. Includes implementations of ML loss functions (Logistic Loss, SVM Loss, ..) and optimization algorithms (gradient descent, accelerated varia…
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decile-team/jensen
decile-team/jensen PublicA C++ toolkit for Convex Optimization (Logistic Loss, SVM, SVR, Least Squares etc.), Convex Optimization algorithms (LBFGS, TRON, SGD, AdsGrad, CG, Nesterov etc.) and Classifiers/Regressors (Logist…
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decile-team/cords
decile-team/cords PublicReduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using coresets and data selection.
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decile-team/distil
decile-team/distil PublicDISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.
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