Publications
2022
The Vendi Score: A Diversity Evaluation Metric for Machine Learning
Dan Friedman, Adji Bousso Dieng
Read the paperMarkov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients
Kyurae Kim, Jisu Oh, Jacob R. Gardner, Adji Bousso Dieng, Hongseok Kim
Read the paperConsistency Regularization for Variational Auto-Encoders
Samarth Sinha, Adji Bousso Dieng
Read the paper2020
2019
The Dynamic Embedded Topic Model
Adji Bousso Dieng*, Francisco R. J. Ruiz*, David M. Blei
Read the paperPrescribed Generative Adversarial Networks
Adji Bousso Dieng, Francisco J. R. Ruiz, David M. Blei, Michalis K. Titsias
Read the paperTopic Modeling in Embedding Spaces
Adji Bousso Dieng, Francisco J. R. Ruiz, David M. Blei
Read the paperAvoiding Latent Variable Collapse With Generative Skip Models
Adji Bousso Dieng, Yoon Kim, Alexander M. Rush, David M. Blei
Read the paper2018
Quantitative Nanoinfrared Spectroscopy of Anisotropic van der Waals Materials
Francesco L. Ruta*, Aaron J. Sternbach, Adji Bousso Dieng, Alexander S. McLeod, and D. N. Basov
Read the paperNoisin: Unbiased Regularization for Recurrent Neural Networks
Adji Bousso Dieng, Rajesh Ranganath, Jaan Altosaar, David M. Blei
Read the paperAugment and Reduce: Stochastic Inference for Large Categorical Distributions
Francisco J. R. Ruiz, Michalis K. Titsias, Adji Bousso Dieng, David M. Blei
Read the paperReadmission prediction via deep contextual embedding of clinical concepts
Cao Xiao, Tengfei Ma, Adji Bousso Dieng, David M. Blei, Fei Wang
Read the paper2017
Variational Inference via χ-Upper Bound Minimization
Adji Bousso Dieng, Dustin Tran, Rajesh Ranganath, John Paisley, David M. Blei
Read the paperTopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency
Adji Bousso Dieng, Chong Wang, Jianfeng Gao, John Paisley
Read the paperEdward: A library for probabilistic modeling, inference, and criticism
Dustin Tran, Alp Kucukelbir, Adji Bousso Dieng, Maja Rudolph, Dawen Liang, David M. Blei
Read the paper