10 Compelling Machine Learning Ph.D. Dissertations for 2020

1. Bayesian Modeling and Variable Selection for Complex Data

2. Topics in Statistical Learning with a Focus on Large Scale Data

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3. Sets as Measures: Optimization and Machine Learning

4. A Geometric Perspective on Some Topics in Statistical Learning

5. Essays on Random Forest Ensembles

6. Marginally Interpretable Generalized Linear Mixed Models

7. On the Detection of Hate Speech, Hate Speakers and Polarized Groups in Online Social Media

8. Lasso Guarantees for Dependent Data

9. Random forest robustness, variable importance, and tree aggregation

10. Climate Data Computing: Optimal Interpolation, Averaging, Visualization and Delivery

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