We show how any PAC learning algorithm that works under the uniform
dist...
Using the framework of boosting, we prove that all impurity-based decisi...
We study a fundamental question concerning adversarial noise models in
s...
Estimates of predictive uncertainty are important for accurate model-bas...
Chart-based visual acuity measurements are used by billions of people to...
Understanding large-scale patterns in student course enrollment is a pro...
Open access to high-quality education is limited by the difficulty of
pr...
Software-defined networking offers numerous benefits against the legacy
...