While there has been progress in developing non-vacuous generalization b...
Deep learning is increasingly moving towards a transfer learning paradig...
Aleatoric uncertainty captures the inherent randomness of the data, such...
While recent work on conjugate gradient methods and Lanczos decompositio...
XGBoost, a scalable tree boosting algorithm, has proven effective for ma...
State-of-the-art methods for scalable Gaussian processes use iterative
a...
This paper proposes Variational Auto-Regressive Gaussian Process (VAR-GP...
Standard gradient descent methods are susceptible to a range of issues t...
Reinforcement Learning (RL) is a learning paradigm concerned with learni...
A long-standing problem in model free reinforcement learning (RL) is tha...