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developing new understanding and approaches to complex service systems

Studying at Cambridge

 

Tim Pearce

Biography:

Tim is a PhD student researching,

- Uncertainty in neural networks (NNs) / deep learning
- Bayesian NNs, ensembled NNs, Gaussian Processes.

- Uncertainty in Reinforcement Learning.
- Applications of the above to manufacturing data.

He spent one year as an exchange student at the Alan Turing Institute.

 

Background

Tim completed an M.Eng at Durham University, his masters thesis developed a creative AI. He has work experience in the finance sector with EY, with whom he qualified as a Chartered Accountant. His work was focused around analytics and building forecasting models to support decision making.

Keywords

  • Machine Learning

Key Publications

High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach (https://arxiv.org/abs/1802.07167), ICML 2018

Bayesian Inference with Anchored Ensembles of Neural Networks, and Application to Exploration in Reinforcement Learning (https://arxiv.org/abs/1805.11324), Exploration in Reinforcement Learning Workshop ICML 2018

Bayesian Neural Network Ensembles (https://arxiv.org/abs/1811.12188), Bayesian Deep Learning Workshop NeurIPS (NIPS) 2018

 

 

Cambridge Service Alliance

Welcome to the Cambridge Service Alliance…

  • a unique global alliance between leading businesses and universities;
  • bringing together the world's leading firms and academics;
  • all of whom are devoted to delivering today the tools, education and insights needed for the complex service solutions of tomorrow.

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February 2019 Webinar - Business Ecosystems Mapping

Feb 12, 2019

In this webinar, Florian presents the Alliance January 2019 paper on Business Ecosystems Mapping.

January 2019 Paper

Jan 21, 2019

January 2019 paper on 'Using Business Ecosystems Mapping to Generate new Competitive Value Propositions'

Webinar 14 January

Jan 16, 2019

In this webinar, Tim Pearce discusses his paper on Bayesian Neural Network Ensembles

December 2018 Paper

Dec 19, 2018

December 2018 Paper on 'Bayesian Neural Network Ensembles'

Webinar 10 December 2018

Dec 14, 2018

Webinar on Service Business Model Innovation: The Digital Twin Technology by Veronica Martinez, Audrey Ouyang, Andy Neely, Caroline Burstall and Dav Bisessar

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