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Found 6 papers, 0 papers with code
Generative Bayesian Computation for Maximum Expected Utility
Generative methods assume only the ability to simulate from the model and parameters and as such are likelihood-free.
Deep Learning: A Tutorial
Our goal is to provide a review of deep learning methods which provide insight into structured high-dimensional data.
Quantum Bayesian Computation
Quantum Bayesian Computation (QBC) is an emerging field that levers the computational gains available from quantum computers to provide an exponential speed-up in Bayesian computation.
Merging Two Cultures: Deep and Statistical Learning
We show that prediction, interpolation and uncertainty quantification can be achieved using probabilistic methods at the output layer of the model.
Chess AI: Competing Paradigms for Machine Intelligence
Endgame studies have long served as a tool for testing human creativity and intelligence.
