Liam Hodgkinson

neural network (3) stochastic differential equation (3) stochastic optimization (2) error rate (2) double descent (2) neural network optimization (2) heavy-tailed distribution (2) markov chain monte carlo (2) variational inference (2) ensemble learning (2) non-convex optimization (2) generalization bound (2) majority vote (2) batch normalization (1) stochastic gradient descent (1) uncertainty quantification (1) density estimation (1) langevin dynamics (1) gaussian process (1) image classification (1)