Maja Rita Rudolph Machine Learning Research, Google Scholar


M. Rudolph and D. Blei. Dynamic Embeddings for Language Evolution, In proceedings of WWW, 2018

M. Rudolph , F. Ruiz, and D. Blei. Structured Embedding Models for Grouped Data, In proceedings of NIPS, 2017

M. Rudolph , F. Ruiz, S. Mandt, and D. Blei. Exponential Family Embeddings, In proceedings of NIPS, 2016

D. Tran, A. Kucukelbir, A. Dieng, M. Rudolph , D. Liang, D. Blei, Edward: A library for probabilistic modeling, inference, and criticism, arXiv:1610.09787

M. Rudolph , J. Ellis, and D. Blei. Objective Variables for Probabilistic Revenue Maximization in Second-Price Auctions with Reserve, In proceedings of WWW, 2016

Workshop Papers

M. Rudolph , F. Ruiz, and D. Blei. Word2Net: Deep Representations of Language, In Bayesian Deep Learning Workshop, NIPS, 2017

M. Rudolph , A. Hertzmann, M. Hoffman. A Joint Model for Who-to-Follow and What-to-View Recommendations on Behance, In Workshop on Modeling Social Media, WWW, 2016

M. Rudolph , D. Blei. The Dirichlet-Gamma Filter for Discovery of Neural Ensembles and their Temporal Dynamics, In Workshop on Statistical Analysis of Neural Data, NIPS, 2015

M. Rudolph , S. Gultekin, J. Paisley, S. Chang. Probabilistic Canonical Tensor Decomposition for Predicting User Preference, In Workshop for Personalization: Applications and Methods, NIPS, 2014