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Safe and Efficient Variational Inference Model Predictive Control with Application to Aggressive Autonomous Driving

By Hetram Sahu

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Theoretical Analysis of Stochastic Gradient Descent in Stochastic Optimization

By Ramgopal Dhakad

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An Examination of Marketing Factors that Influence Nontraditional Student Enrollment Decisions

By Kagana Pratap

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Automating Inference For Non–Standard Models

By Charulata Acharya

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Matrix Sketching in Optimization

By Jatin Patidar

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Advances In Bayesian Model Selection And Uncertainty Estimation For Deep Learning

By Kripal Nagar

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RESILIENCE ENHANCEMENT OF DISTRIBUTION SYSTEMS WITH HIGH PENETRATION OF INVERTER-BASED RESOURCES

By Jagriti Goenka

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Mathematical and Data-driven Pattern Representation with Applications in Image Processing, Computer Graphics, and Infinite Dimensional Dynamical Data Mining

By Hanumanaram Giri

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Adaptively Serving XR Workloads from Resource-constrained Edge

By Diya Chaturvedi

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Automated And Verified Deep Learning

By Chandraprabha Kapadia

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