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Statistical Learning With Neural Networks Trained By Gradient Descent

By Debmalya Kumar

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Stochastic Optimization And Subgraph Search

By Shiv Swamy

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Teachers' Reflection On Inquiry-Oriented Instruction In Online Professional Development

By Baljinder Shah

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Topics In Relative Arbitrage, Stochastic Games And High-Dimensional Pdes

By Prashant Thakkar

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Topological Phases Of Matter: A Mathematical Approach

By Latha Gill

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Functional Data Analysis And Spatial Analysis For On-Farm Strip Trials

By Vijay Narayan

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Holomorphic Differentials Of Alternating Four Covers

By Ajay Sagar

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A Bayesian Approach To Unit Lindley Mixed Model

By Suman Kumar

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Projective Fraïssé Theory And Knaster Continua

By Nitant Shrivastava

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Applying Machine Learning Models To Diagnose Failures In Electrical Submersible Pumps

By Saket Behl

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