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Agustinus Kristiadi

Uncertainty-Guided Optimization on Large Language Model Search Trees

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Jul 04, 2024
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A Critical Look At Tokenwise Reward-Guided Text Generation

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Jun 12, 2024
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How Useful is Intermittent, Asynchronous Expert Feedback for Bayesian Optimization?

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Jun 10, 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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Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI

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Feb 06, 2024
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Structured Inverse-Free Natural Gradient: Memory-Efficient & Numerically-Stable KFAC for Large Neural Nets

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Dec 16, 2023
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Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks

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Nov 07, 2023
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On the Disconnect Between Theory and Practice of Overparametrized Neural Networks

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Sep 29, 2023
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Promises and Pitfalls of the Linearized Laplace in Bayesian Optimization

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Apr 17, 2023
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The Geometry of Neural Nets' Parameter Spaces Under Reparametrization

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Feb 14, 2023
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