5 citations · 12 across the 6 of their papers we have counts for
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cs.LG2021★ 4 cited
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…
cs.LG2021
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…
cs.LG2021★ 3 cited
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.…