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Current Research Topics
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Kernel methods and Gaussian processes in machine learning, statistics and numerical computation
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Machine learning for enhancing the power of computer simulation
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Applications to real-world problems involving computer simulation models
Selected Publications
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2019 - Convergence Guarantees for Adaptive Bayesian Quadrature Methods
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2019 - Convergence Analysis of Deterministic Kernel-based Quadrature Rules in Misspecified Settings
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2018 - Kernel Recursive ABC: Point Estimation with Intractable Likelihood