Gabriel Hope

According to our database, Gabriel Hope authored at least 6 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Unbiased Learning of Deep Generative Models with Structured Discrete Representations.

Harry Bendekgey, Gabriel Hope, Erik B. Sudderth

CoRR, 2023

A decoder suffices for query-adaptive variational inference.

Sakshi Agarwal, Gabriel Hope, Ali Younis, Erik B. Sudderth

Proceedings of the Uncertainty in Artificial Intelligence, 2023

2020

Learning Consistent Deep Generative Models from Sparse Data via Prediction Constraints.

Gabriel Hope, Madina Abdrakhmanova, Xiaoyin Chen, Michael C. Hughes, Erik B. Sudderth

CoRR, 2020

2018

Semi-Supervised Prediction-Constrained Topic Models.

Michael C. Hughes, Gabriel Hope, Leah Weiner, Thomas H. McCoy Jr., Roy H. Perlis, Erik B. Sudderth, Finale Doshi-Velez

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Prediction-Constrained Topic Models for Antidepressant Recommendation.

Michael C. Hughes, Gabriel Hope, Leah Weiner, Thomas H. McCoy Jr., Roy H. Perlis, Erik B. Sudderth, Finale Doshi-Velez

CoRR, 2017

Prediction-Constrained Training for Semi-Supervised Mixture and Topic Models.

Michael C. Hughes, Leah Weiner, Gabriel Hope, Thomas H. McCoy Jr., Roy H. Perlis, Erik B. Sudderth, Finale Doshi-Velez

CoRR, 2017