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Geoff Pleiss

How Useful is Intermittent, Asynchronous Expert Feedback for Bayesian Optimization?

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Jun 10, 2024
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Online Continual Learning of Video Diffusion Models From a Single Video Stream

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Jun 07, 2024
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Approximation-Aware Bayesian Optimization

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Jun 06, 2024
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Layerwise Proximal Replay: A Proximal Point Method for Online Continual Learning

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Feb 14, 2024
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MCMC-driven learning

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Feb 14, 2024
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A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?

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Feb 07, 2024
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Large-Scale Gaussian Processes via Alternating Projection

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Oct 26, 2023
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CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear Algebra

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Sep 06, 2023
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Sharp Calibrated Gaussian Processes

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Feb 23, 2023
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Pathologies of Predictive Diversity in Deep Ensembles

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Feb 03, 2023
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