Search Results for author: Nick Polson

Found 5 papers, 0 papers with code

Deep Learning: A Tutorial

no code implementations10 Oct 2023 Nick Polson, Vadim Sokolov

Our goal is to provide a review of deep learning methods which provide insight into structured high-dimensional data.

Uncertainty Quantification

Quantum Bayesian Computation

no code implementations17 Aug 2022 Nick Polson, Vadim Sokolov, Jianeng Xu

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.

feature selection Gaussian Processes +1

Merging Two Cultures: Deep and Statistical Learning

no code implementations22 Oct 2021 Anindya Bhadra, Jyotishka Datta, Nick Polson, Vadim Sokolov, Jianeng Xu

We show that prediction, interpolation and uncertainty quantification can be achieved using probabilistic methods at the output layer of the model.

Dimensionality Reduction Feature Engineering +2

Chess AI: Competing Paradigms for Machine Intelligence

no code implementations23 Sep 2021 Shiva Maharaj, Nick Polson, Alex Turk

Endgame studies have long served as a tool for testing human creativity and intelligence.

Karpov's Queen Sacrifices and AI

no code implementations15 Sep 2021 Shiva Maharaj, Nick Polson

Anatoly Karpov's Queen sacrifices are analyzed.

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