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• PhD Thesis Acknowledgements (Unabridged)
• Probabilistic Machine Learning in the Age of Deep Learning: New Perspectives for Gaussian Processes, Bayesian Optimization and Beyond (PhD Thesis)
• One paper accepted to ICML2023
• Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes
• Efficient Cholesky decomposition of low-rank updates
• Batch Bayesian Optimisation via Density-ratio Estimation with Guarantees
• One paper accepted to NeurIPS2022
• BORE: Bayesian Optimization by Density-Ratio Estimation
• A Primer on Pólya-gamma Random Variables - Part II: Bayesian Logistic Regression
• Exploring the Binance API in Python - Part II: Recent and Historical Trades