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1: function FSPL APLACE TRAIN (f, θ(0), GP (µ, Σ), PC, D, b) 2: i ← 0 3: for all minibatch B = (XB, YB) ∼ D of size b do 4: R(1) FSP(θ(i)) ← −n b Pb j=1 log p(y(j) B | f (x(j) B , θ(i))) 5: Sample context points C(i) = {C(i) j }nC j=1 i · 2024

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cs.LG 1

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2025 1

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CONDITIONAL 1

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laplax -- Laplace Approximations with JAX

cs.LG · 2025-07-22 · conditional · novelty 6.0

The paper presents laplax, a modular JAX library for Laplace approximations that supports multiple curvature estimates, uncertainty pushforwards, calibration, and evaluation routines.

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  • laplax -- Laplace Approximations with JAX cs.LG · 2025-07-22 · conditional · none · ref 1

    The paper presents laplax, a modular JAX library for Laplace approximations that supports multiple curvature estimates, uncertainty pushforwards, calibration, and evaluation routines.