In this paper, we propose TopicRNN, a recurrent neural network (RNN)-based language model designed to directly capture the global semantic meaning relating words in a document via latent topics. See the complete profile on LinkedIn and discover Bousso’s connections and jobs at similar companies. Follow. Verified email at google.com Edoardo M Airoldi Professor of Statistics & Data Science, Temple University & PI, Harvard University Verified email at fas.harvard.edu Laurent Charlin Assistant Professor, ... Adji Bousso Dieng Columbia University Verified email at columbia.edu. Blake Woodworth, Toyota Technological Institute at Chicago. View Adji Bousso Dieng’s profile on LinkedIn, the world’s largest professional community. Jaemin Yoo, Seoul National University. In International Conference on Learning Representations. Adji Bousso Dieng is currently a Research Scientist at Google AI, and will be starting as an assistant professor at Princeton University in 2021. Adji Bousso Dieng, Dustin Tran, Rajesh Ranganath, John W. Paisley, David M. Blei: Variational Inference via \chi Upper Bound Minimization. NIPS 2017 : 2732-2741 Because of their sequential nature, RNNs are good at capturing the local structure of a word sequence - both semantic and syntactic - but might face difficulty … The following articles are merged in Scholar. Auto-encoding variational bayes. ... Adji Bousso Dieng Columbia University Verified email at columbia.edu. Bio: Adji Bousso Dieng is a PhD Candidate at Columbia University where she is jointly advised by David Blei and John Paisley. ... Google Verified email at google.com. The following articles are merged in Scholar. The following articles are merged in Scholar. Her research is in Artificial Intelligence and Statistics, bridging probabilistic graphical models and deep learning. Maja Rudolph. Adji Bousso Dieng, Columbia University. Their combined citations are counted only for the first article. Google Scholar Cross Ref; Kingma Diederik P. and Welling Max. Their combined citations are counted only for the first article. Diana Cai, Princeton University. 2014. Their combined citations are counted only for the first article. Bousso has 1 job listed on their profile. ... Adji Bousso Dieng Columbia University Verified email at columbia.edu. Ihsane Gryech, International University Of Rabat, Morocco. Variational inference via x upper bound minimization. Anshul Mittal, IIT Delhi. Their combined citations are counted only for the first article. Google Scholar; Adji Bousso Dieng, Dustin Tran, Rajesh Ranganath, John Paisley, and David Blei. Francesco Locatello, ETH Zurich. Adji Bousso has 9 jobs listed on their profile. Dieng is supported by a Dean Fellowship from Columbia University. Her research focuses on combining probabilistic graphical modeling and deep learning to design models for structured high-dimensional data. View Bousso Dieng’s profile on LinkedIn, the world’s largest professional community. Maruan Al-Shedivat, Carnegie Mellon University ... Google Verified email at google.com. The following articles are merged in Scholar. ... Google Research Verified email at google.com. ... Adji Bousso Dieng Columbia University Verified email at columbia.edu. 2017. Adji Bousso Dieng Columbia University Verified email at columbia.edu Eugene Brevdo Google Inc. ... Google Research Verified email at google.com. Where she is jointly advised by David Blei and John Paisley and deep.... Dustin Tran, Rajesh Ranganath, John Paisley, and David Blei models and deep learning and Max... Graphical models and deep learning citations are counted only for the first article 9 jobs listed their! Dieng, Dustin Tran, Rajesh Ranganath, John Paisley their combined citations are counted only for the article. Counted only for the first article, the world ’ s largest professional community for structured data. 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