Louis Tiao
Louis Tiao
Home
Publications
Talks
Projects
Posts
Contact
Contributed Talk: Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference
Louis Tiao
Project
Slides
Stockholmsmässan. Stockholm, Sweden. Image credit:
Edwin Bonilla
Date
Jul 14, 2018 3:20 PM — 3:30 PM
Event
ICML 2018 Workshop on Theoretical Foundations and Applications of Deep Generative Models
Location
Stockholm, Sweden
Machine Learning
Louis Tiao
PhD Candidate
Probabilistic machine learning and artificial intelligence.
Please enable JavaScript to view the
comments powered by Disqus.
comments powered by
Disqus
Related
BORE: Bayesian Optimization by Density-Ratio Estimation
Progress Review 2020
Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings
Model-based Asynchronous Hyperparameter and Neural Architecture Search
Variational Graph Convolutional Networks
Cite
×