information theory, Bayesian machine elarning, generative adversarial networks, GAN, variational inference, VAE, variational autoencoder, active learning, deep learning, maximum mean discrepancy, kernel moment matching
Present
theory of deep learning, inductive biases, optimization
Present
causal inference, representation learning, domain generalization
Present