Gaussian Approximation
PulseAugur coverage of Gaussian Approximation — every cluster mentioning Gaussian Approximation across labs, papers, and developer communities, ranked by signal.
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New method enhances AI uncertainty quantification for neural networks
Researchers have developed a novel method for scalable uncertainty quantification in neural networks, crucial for high-stakes AI applications. Their approach, termed generalized Laplace active subspaces, constructs a lo…
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New Gaussian Approximation Bounds for Markov Chains Developed
Researchers have developed new Gaussian approximation bounds for sums of multivariate martingale differences derived from uniformly ergodic Markov chains. These bounds, expressed in higher-order Wasserstein distance, ac…
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New theory advances streaming PCA with uncertainty quantification
Researchers have developed new theoretical frameworks for streaming Principal Component Analysis (PCA) using Oja's algorithm. The work addresses open questions regarding convergence rates for general ranks under sub-Gau…
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New Gaussian Approximation for Ridge Regression Estimator
Researchers have developed a novel Gaussian approximation for the finite-sample distribution of the ridge regression estimator. This approximation accounts for the estimator's bias-variance trade-off in reducing error a…