-
Correlated Variational Auto-Encoders
Variational Auto-Encoders (VAEs) are capable of learning latent represen...
05/14/2019 ∙ by Da Tang, et al. ∙
7
∙
share
read it
-
The Variational Predictive Natural Gradient
Variational inference transforms posterior inference into parametric opt...
03/07/2019 ∙ by Da Tang, et al. ∙
4
∙
share
read it
-
Learning Correlated Latent Representations with Adaptive Priors
Variational Auto-Encoders (VAEs) have been widely applied for learning c...
06/14/2019 ∙ by Da Tang, et al. ∙
3
∙
share
read it
-
Item Recommendation with Variational Autoencoders and Heterogenous Priors
In recent years, Variational Autoencoders (VAEs) have been shown to be h...
07/17/2018 ∙ by Giannis Karamanolakis, et al. ∙
2
∙
share
read it
-
Initialization and Coordinate Optimization for Multi-way Matching
We consider the problem of consistently matching multiple sets of elemen...
11/02/2016 ∙ by Da Tang, et al. ∙
0
∙
share
read it
-
Subgoal Discovery for Hierarchical Dialogue Policy Learning
Developing conversational agents to engage in complex dialogues is chall...
04/20/2018 ∙ by Da Tang, et al. ∙
0
∙
share
read it
