David Duvenaud

hyperparameter optimization (4) neural network (3) stochastic variational inference (2) neural network architecture (2) stochastic gradient descent (2) variational inference (2) bayesian neural network (2) stochastic differential equation (2) large language model (2) word embedding (2) energy-based model (2) gradient-based optimization (2) data augmentation (1) metropolis-hastings sampling (1) probabilistic modeling (1) network architecture (1) representation learning (1) density estimation (1) maximum likelihood (1) matrix factorization (1)