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Chris Holmes

On Subjective Uncertainty Quantification and Calibration in Natural Language Generation

Jun 07, 2024
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Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective

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Jun 02, 2024
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On Uncertainty Quantification for Near-Bayes Optimal Algorithms

Mar 28, 2024
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Approximations to the Fisher Information Metric of Deep Generative Models for Out-Of-Distribution Detection

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Mar 03, 2024
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Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation

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Jan 31, 2024
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Explainable AI for survival analysis: a median-SHAP approach

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Jan 30, 2024
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Targeting Relative Risk Heterogeneity with Causal Forests

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Sep 26, 2023
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Differentially Private Statistical Inference through $β$-Divergence One Posterior Sampling

Jul 11, 2023
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PWSHAP: A Path-Wise Explanation Model for Targeted Variables

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Jun 26, 2023
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A Unified Framework for U-Net Design and Analysis

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May 31, 2023
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