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Jacob R. Gardner

Tuning Sequential Monte Carlo Samplers via Greedy Incremental Divergence Minimization

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Mar 19, 2025
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Large Scale Multi-Task Bayesian Optimization with Large Language Models

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Mar 11, 2025
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Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization

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Jan 31, 2025
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Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference

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Nov 01, 2024
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A Fast, Robust Elliptical Slice Sampling Implementation for Linearly Truncated Multivariate Normal Distributions

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Jul 15, 2024
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Approximation-Aware Bayesian Optimization

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Jun 06, 2024
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Zeroth-Order Fine-Tuning of LLMs with Extreme Sparsity

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Jun 05, 2024
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Understanding Stochastic Natural Gradient Variational Inference

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Jun 04, 2024
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Demystifying SGD with Doubly Stochastic Gradients

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Jun 03, 2024
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Stochastic Approximation with Biased MCMC for Expectation Maximization

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Feb 27, 2024
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