Matthew D. Hoffman
American Foundry Society(US)
Publications by Year
Research Areas
Gaussian Processes and Bayesian Inference, Music and Audio Processing, Bayesian Methods and Mixture Models, Markov Chains and Monte Carlo Methods, Generative Adversarial Networks and Image Synthesis
Most-Cited Works
- → Stan: A Probabilistic Programming Language(2017)7,165 cited
- → The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo(2011)1,796 cited
- → Stochastic variational inference(2013)1,480 cited
- Online Learning for Latent Dirichlet Allocation(2010)
- → Variational Autoencoders for Collaborative Filtering(2018)1,261 cited
- Stan: A Probabilistic Programming Language(2017)
- → Underspecification Presents Challenges for Credibility in Modern Machine Learning(2020)430 cited
- → Stochastic Gradient Descent as Approximate Bayesian Inference(2017)360 cited
- → Learning Activation Functions to Improve Deep Neural Networks(2014)349 cited
- → Static and Dynamic Source Separation Using Nonnegative Factorizations: A unified view(2014)165 cited