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portfolio
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publications
Some Notes on the Sample Complexity of Approximate Channel Simulation
Published in Learn to Compress Workshop, ISIT, 2022
This paper explores the sample complexity required for approximate channel simulation.
Recommended citation: Flamich, G., & Wells, L. (2024). "Some Notes on the Sample Complexity of Approximate Channel Simulation." Learn to Compress Workshop, ISIT.
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Unconstrained Stochastic CCA: Unifying Multiview and Self-Supervised Learning
Published in The Twelfth International Conference on Learning Representations, 2023
We propose a novel formulation of Canonical Correlation Analysis (CCA) that leads to fast algorithms for Stochastic CCA and Deep CCA. We show this also immediately gives a new Self-Supervised Learning (SSL) method and explore its close relationship to an existing family of SSL methods.
Recommended citation: Chapman, J., Wells, L., & Lawry Aguila, A. (2024). "Unconstrained Stochastic CCA: Unifying Multiview and Self-Supervised Learning." The Twelfth International Conference on Learning Representations (ICLR).
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Regularised Canonical Correlation Analysis: graphical lasso, biplots and beyond
Published in arXiv preprint arXiv:2403.02979, 2024
This paper concerns how to regularise canonical correlation analysis to apply it in high dimensions. We propose a new method using the graphical lasso, and various visualisation techniques.
Recommended citation: L Wells, K Thurimella, S Bacallado. (2024). "Regularised Canonical Correlation Analysis: graphical lasso, biplots and beyond." arXiv preprint arXiv:2403.02979.
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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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