From Distribution Shift to Kernel Methods: A study of empirical phenomena in machine learning
Vaishaal Shankar [2020]
The sample complexity of simple reinforcement learning
Horia Mania [2020]
Evaluation of Methods for Data-Driven Tools that Empower Mental Health Professionals
Orianna DeMasi [2019]
Measuring Generalization and Overfitting in Machine Learning
Rebecca Roelofs [2019]
Performance Guarantees in Learning and Robust Control
Ross Boczar [2019]
Sample Complexity Bounds for the Linear Quadratic Regulator
Stephen Tu [2019]