Stephan Mandt

Advances in Variational Inference

Cheng Zhang, Judith Bütepage, Hedvig Kjellström et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2018 · 654 citations · Full text

Computing, Computer Science, Machine Learning +16

Fermionic transport and out-of-equilibrium dynamics in a homogeneous Hubbard model with ultracold atoms

Ulrich Schneider, Lucia Hackermüller, J. P. Ronzheimer et al. · Nature Physics · 2012 · 449 citations · Full text

Natural Sciences, Physics, Atomic Physics +16

Stochastic Gradient Descent as Approximate Bayesian Inference

Stephan Mandt, Matthew D. Hoffman, David M. Blei · Journal of Machine Learning Research · 2017 · 361 citations

Natural Sciences, Mathematics, Machine Learning +16

Dynamic Word Embeddings

Robert Bamler, Stephan Mandt · arXiv (Cornell University) · 2017 · 111 citations · Full text

Computing, Computer Science, Computational Linguistics +15

Stochastic Gradient Descent as Approximate Bayesian Inference

Stephan Mandt, Matthew D. Hoffman, David M. Blei · arXiv (Cornell University) · 2017 · 108 citations · Full text

Natural Sciences, Mathematics, Machine Learning +16