Search Results for author:
Found 2 papers, 1 papers with code
Gradient-based Discrete Sampling with Automatic Cyclical Scheduling
Discrete distributions, particularly in high-dimensional deep models, are often highly multimodal due to inherent discontinuities.
Non-Asymptotic Analysis of Online Multiplicative Stochastic Gradient Descent
Past research has indicated that the covariance of the Stochastic Gradient Descent (SGD) error done via minibatching plays a critical role in determining its regularization and escape from low potential points.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
