4 citations · 7 across the 4 of their papers we have counts for
4 papers
Analytically Tractable Hidden-States Inference in Bayesian Neural Networks
Luong-Ha Nguyen, James-A. Goulet
With few exceptions, neural networks have been relying on backpropagation and gradient descent as the inference engine in order to learn the model parameters, because the closed-fo…
Analytically Tractable Bayesian Deep Q-Learning
Luong Ha, Nguyen, James-A. Goulet
Reinforcement learning (RL) has gained increasing interest since the demonstration it was able to reach human performance on video game benchmarks using deep Q-learning (DQN). The…
Analytically Tractable Inference in Deep Neural Networks
Luong-Ha Nguyen, James-A. Goulet
Since its inception, deep learning has been overwhelmingly reliant on backpropagation and gradient-based optimization algorithms in order to learn weight and bias parameter values.…
The Nataf-Beta Random Field Classifier: An Extension of the Beta Conjugate Prior to Classification Problems
James-A. Goulet
This paper presents the Nataf-Beta Random Field Classifier, a discriminative approach that extends the applicability of the Beta conjugate prior to classification problems. The app…