Stephan Mandt

Advances in Variational Inference

Cheng Zhang, Judith Bütepage, Hedvig Kjellström et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2018 · 628 citations · Full text

Engineering, Machine Learning, Data Science +10

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 · 434 citations · Full text

Quantum Dynamic, Quantum Science, Ultracold Atoms +10

Stochastic Gradient Descent as Approximate Bayesian Inference

Stephan Mandt, Matthew D. Hoffman, David M. Blei · Journal of Machine Learning Research · 2017 · 360 citations

Constant Sgd, Markov Decision Process, Engineering +12

Dynamic Word Embeddings

Robert Bamler, Stephan Mandt · arXiv (Cornell University) · 2017 · 108 citations · Full text

Structured Prediction, Engineering, Machine Learning +16

Stochastic Gradient Descent as Approximate Bayesian Inference

Stephan Mandt, Matthew D. Hoffman, David M. Blei · arXiv (Cornell University) · 2017 · 107 citations · Full text

Constant Sgd, Hyperparameter Estimation, Engineering +14