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Daniel Sheldon

Private Regression via Data-Dependent Sufficient Statistic Perturbation

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May 23, 2024
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Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data

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Mar 12, 2024
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Human in-the-Loop Estimation of Cluster Count in Datasets via Similarity-Driven Nested Importance Sampling

Dec 08, 2023
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DISCount: Counting in Large Image Collections with Detector-Based Importance Sampling

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Jun 05, 2023
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Kernel Interpolation with Sparse Grids

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May 23, 2023
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Sample Average Approximation for Black-Box VI

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Apr 13, 2023
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U-Statistics for Importance-Weighted Variational Inference

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Feb 27, 2023
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Automatically Marginalized MCMC in Probabilistic Programming

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Feb 01, 2023
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Variational Marginal Particle Filters

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Sep 30, 2021
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Relaxed Marginal Consistency for Differentially Private Query Answering

Sep 13, 2021
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