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Real vs. Semi-Simulated: Rethinking Evaluation for Treatment Effect Estimation  🤖AI Research
arxiv.org·2d
Super-Level-Set Regression: Conditional Quantiles via Volume Minimization  👁️Computer Vision
arxiv.org·6d
Quantifying the Reconstructability of Astrophysical Methods with Large Language Models and Information Theory: A Case Study in Spectral Reconstruction  🧠LLMs
arxiv.org·1d
Model-based Bootstrap of Controlled Markov Chains  🤖LLM
arxiv.org·1d
ORTHOBO: Orthogonal Bayesian Hyperparameter Optimization  👁️Computer Vision
arxiv.org·6d
Supercharging Bayesian Inference with Reliable AI-Informed Priors  🤖AI Research
arxiv.org·2d
The Minimax Rate of Second-Order Calibration  👁️Computer Vision
arxiv.org·3d
ConfoundingSHAP: Quantifying confounding strength in causal inference  🤖AI Research
arxiv.org·2d
Distributional Spectral Diagnostics for Localizing Grokking Transitions  👁️Computer Vision
arxiv.org·2d
Christoffel-DPS: Optimal sensor placement in diffusion posterior sampling for arbitrary distributions  👁️Computer Vision
arxiv.org·3d
Stop Marginalizing My Dreams: Model Inversion via Laplace Kernel for Continual Learning  👁️Computer Vision
arxiv.org·1d
Causal Bias Detection in Generative Artifical Intelligence  🤖AI Research
arxiv.org·1d
Online Bayesian Calibration under Gradual and Abrupt System Changes  👁️Computer Vision
arxiv.org·6d
Neural Information Causality  🤖AI Research
arxiv.org·2d
Linear Response Estimators for Singular Statistical Models  🤖LLM
arxiv.org·3d
Composing diffusion priors with explicit physical context via generative Gibbs sampling  👁️Computer Vision
arxiv.org·2d
Coarsening Linear Non-Gaussian Causal Models with Cycles  🤖LLM
arxiv.org·2d
Inference Time Causal Probing in LLMs  🤖LLM
arxiv.org·3d
Missingness-MDPs: Bridging the Theory of Missing Data and POMDPs  🤖AI Research
arxiv.org·1d
Direct Estimation of Schr\"odinger Bridge Time-Series Drifts: Finite-Sample, Asymptotic, and Adaptive Guarantees  🕸️Graph Algorithms
arxiv.org·6d

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