Adji B. Dieng - RankMe

15 papers A* 1A 1Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	Consistency Regularization for Variational Auto-Encoders. CoRR Samarth Sinha, Adji B. Dieng
2021	J	`jnl`	Deep Probabilistic Graphical Modeling. CoRR Adji B. Dieng
2019	A	`conf`	Avoiding Latent Variable Collapse with Generative Skip Models. AISTATS Adji B. Dieng, Yoon Kim, Alexander M. Rush, David M. Blei
2019	J	`jnl`	Prescribed Generative Adversarial Networks. CoRR Adji B. Dieng, Francisco J. R. Ruiz, David M. Blei, Michalis K. Titsias
2019	J	`jnl`	Reweighted Expectation Maximization. CoRR Adji B. Dieng, John W. Paisley
2019	J	`jnl`	The Dynamic Embedded Topic Model. CoRR Adji B. Dieng, Francisco J. R. Ruiz, David M. Blei
2019	J	`jnl`	Topic Modeling in Embedding Spaces. CoRR Adji B. Dieng, Francisco J. R. Ruiz, David M. Blei
2018	A*	`conf`	Augment and Reduce: Stochastic Inference for Large Categorical Distributions. ICML Francisco J. R. Ruiz, Michalis K. Titsias, Adji B. Dieng, David M. Blei
2018	J	`jnl`	Augment and Reduce: Stochastic Inference for Large Categorical Distributions. CoRR Francisco J. R. Ruiz, Michalis K. Titsias, Adji B. Dieng, David M. Blei
2018	J	`jnl`	Avoiding Latent Variable Collapse With Generative Skip Models. CoRR Adji B. Dieng, Yoon Kim, Alexander M. Rush, David M. Blei
2018	J	`jnl`	Noisin: Unbiased Regularization for Recurrent Neural Networks. CoRR Adji B. Dieng, Rajesh Ranganath, Jaan Altosaar, David M. Blei
2017	—	`conf`	TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency. ICLR (Poster) Adji B. Dieng, Chong Wang, Jianfeng Gao, John W. Paisley
2016	J	`jnl`	Edward: A library for probabilistic modeling, inference, and criticism. CoRR Dustin Tran, Alp Kucukelbir, Adji B. Dieng, Maja Rudolph, Dawen Liang, David M. Blei
2016	J	`jnl`	The $χ$-Divergence for Approximate Inference. CoRR Adji B. Dieng, Dustin Tran, Rajesh Ranganath, John W. Paisley, David M. Blei
2016	J	`jnl`	TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency. CoRR Adji B. Dieng, Chong Wang, Jianfeng Gao, John W. Paisley