Optimization Guarantees for Square-Root Natural-Gradient Variational Inference | Paper Citation Record

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This paper cites Dual parameterization of sparse variational gaussian processes.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Dual parameterization of sparse variational gaussian processes

Reference 1

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This paper cites On the properties of variational approximations of G ibbs posteriors.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference On the properties of variational approximations of G ibbs posteriors

Reference 2

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This paper cites Natural gradient works efficiently in learning.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Natural gradient works efficiently in learning

Reference 3

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This paper cites Information geometry and its applications: Convex function and dually flat manifold.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Information geometry and its applications: Convex function and dually flat manifold

Reference 4

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This paper cites Information geometry and its applications, volume 194.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Information geometry and its applications, volume 194

Reference 5

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This paper cites Convergence of a random optimization method for constrained optimization problems.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Convergence of a random optimization method for constrained optimization problems

Reference 6

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This paper cites The theory of evolution strategies.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference The theory of evolution strategies

Reference 7

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This paper cites Variational inference: A review for statisticians.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Variational inference: A review for statisticians

Reference 8

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This paper cites Weight uncertainty in neural networks.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Weight uncertainty in neural networks

Reference 9

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This paper cites Batch and match: black-box variational inference with a score-based divergence.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Batch and match: black-box variational inference with a score-based divergence

Reference 10

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This paper cites Pac-bayesian supervised classification: The thermodynamics of statistical learning.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Pac-bayesian supervised classification: The thermodynamics of statistical learning

Reference 11

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This paper cites Gaussian kullback-leibler approximate inference.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Gaussian kullback-leibler approximate inference

Reference 12

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This paper cites LIBSVM : a library for support vector machines.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference LIBSVM : a library for support vector machines

Reference 13

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This paper cites Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations and Affine Invariance.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations and Affine Invariance

Reference 14

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This paper cites Convergence rates of variational inference in sparse deep learning.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Convergence rates of variational inference in sparse deep learning

Reference 15

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This paper cites A generalization bound for online variational inference.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference A generalization bound for online variational inference

Reference 16

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This paper cites Convex optimization and euclidean distance geometry.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Convex optimization and euclidean distance geometry

Reference 17

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This paper cites Forward-backward gaussian variational inference via jko in the bures-wasserstein space.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Forward-backward gaussian variational inference via jko in the bures-wasserstein space

Reference 18

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This paper cites Provable gradient variance guarantees for black-box variational inference.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Provable gradient variance guarantees for black-box variational inference

Reference 19

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This paper cites Provable smoothness guarantees for black-box variational inference.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Provable smoothness guarantees for black-box variational inference

Reference 20

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This paper cites Provable convergence guarantees for black-box variational inference.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Provable convergence guarantees for black-box variational inference

Reference 21

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This paper cites Exponential natural evolution strategies.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Exponential natural evolution strategies

Reference 22

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This paper cites Natural gradient variational bayes without fisher matrix analytic calculation and its inversion.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Natural gradient variational bayes without fisher matrix analytic calculation and its inversion

Reference 23

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This paper cites Practical variational inference for neural networks.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Practical variational inference for neural networks

Reference 24

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This paper cites On graduated optimization for stochastic non-convex problems.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference On graduated optimization for stochastic non-convex problems

Reference 25

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This paper cites Fast variational inference in the conjugate exponential family.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Fast variational inference in the conjugate exponential family

Reference 26

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This paper cites Gaussian Processes for Big Data.

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Reference 27

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This paper cites Scalable variational gaussian process classification.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Scalable variational gaussian process classification

Reference 28

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This paper cites Stochastic variational inference.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Stochastic variational inference

Reference 29

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This paper cites Natural conjugate gradient in variational inference.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Natural conjugate gradient in variational inference

Reference 30

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This paper cites Approximate riemannian conjugate gradient learning for fixed-form variational bayes.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Approximate riemannian conjugate gradient learning for fixed-form variational bayes

Reference 31

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This paper cites A variational approach to bayesian logistic regression models and their extensions.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference A variational approach to bayesian logistic regression models and their extensions

Reference 32

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This paper cites Composing graphical models with neural networks for structured representations and fast inference.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Composing graphical models with neural networks for structured representations and fast inference

Reference 33

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This paper cites Conjugate-computation variational inference: Converting variational inference in non-conjugate models to inferences in conjugate models.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Conjugate-computation variational inference: Converting variational inference in non-conjugate models to inferences in conjugate models

Reference 34

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This paper cites Fast and scalable bayesian deep learning by weight-perturbation in adam.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Fast and scalable bayesian deep learning by weight-perturbation in adam

Reference 35

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Observation b514ffe2-aa7a-4d19-b50d-36df7abcf2e2 · outbound

This paper cites Fast yet simple natural-gradient descent for variational inference in complex models.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Fast yet simple natural-gradient descent for variational inference in complex models

Reference 36

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This paper cites The bayesian learning rule.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference The bayesian learning rule

Reference 37

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This paper cites Faster stochastic variational inference using proximal-gradient methods with general divergence functions.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Faster stochastic variational inference using proximal-gradient methods with general divergence functions

Reference 38

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This paper cites Variational Adaptive-Newton Method for Explorative Learning.

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Reference 39

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This paper cites On the convergence of black-box variational inference.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference On the convergence of black-box variational inference

Reference 40

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This paper cites Auto-Encoding Variational Bayes.

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Reference 41

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This paper cites Non-conjugate variational message passing for multinomial and binary regression.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Non-conjugate variational message passing for multinomial and binary regression

Reference 42

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Observation ab139a3d-2002-4255-8958-3a2c6f6f18e7 · outbound

This paper cites The recursive variational gaussian approximation (r-vga).

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference The recursive variational gaussian approximation (r-vga)

Reference 43

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Observation ef1650fa-7f30-4197-9f7c-b05bb7f74d36 · outbound

This paper cites Variational inference via wasserstein gradient flows.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Variational inference via wasserstein gradient flows

Reference 44

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This paper cites Smoothing-based optimization.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Smoothing-based optimization

Reference 45

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This paper cites Fast and simple natural-gradient variational inference with mixture of exponential-family approximations.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Fast and simple natural-gradient variational inference with mixture of exponential-family approximations

Reference 46

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Observation 79d8baf9-0ce9-4020-9412-822db79c2e01 · outbound

This paper cites Structured second-order methods via natural gradient descent.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Structured second-order methods via natural gradient descent

Reference 47

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Observation 3a232488-1bd1-49a3-a1cd-07d2b88e3dd7 · outbound

This paper cites Tractable structured natural-gradient descent using local parameterizations.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Tractable structured natural-gradient descent using local parameterizations

Reference 48

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Observation cc43d1cd-a97b-49c4-b8ef-b58c3c7e7e40 · outbound

This paper cites Simplifying momentum-based positive-definite submanifold optimization with applications to deep learning.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Simplifying momentum-based positive-definite submanifold optimization with applications to deep learning

Reference 49

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This paper cites Turner, and Alireza Makhzani.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Turner, and Alireza Makhzani

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:39:27.937515Z

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Observation 46abb1ff-0fd3-4d77-b7a8-9e3f61ff5f15 · outbound

This paper cites Towards understanding the dynamics of gaussian-stein variational gradient descent.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Towards understanding the dynamics of gaussian-stein variational gradient descent

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:39:27.763109Z

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Observation 8a60f193-9ffc-4727-9d7a-a1927d845838 · outbound

This paper cites Information geometry of the G aussian distribution in view of stochastic optimization.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Information geometry of the G aussian distribution in view of stochastic optimization

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:39:27.523772Z

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Observation 1e78970b-9999-44fa-9b63-122ae79aa787 · outbound

This paper cites Piecewise bounds for estimating bernoulli-logistic latent gaussian models.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Piecewise bounds for estimating bernoulli-logistic latent gaussian models

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:39:27.331022Z

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Observation b240b14e-31a0-4642-9f8e-f3a709e92d5f · outbound

This paper cites Asynchronous methods for deep reinforcement learning.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Asynchronous methods for deep reinforcement learning

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:39:27.139376Z

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Optimization Guarantees for Square-Root Natural-Gradient Variational Inference A theoretical analysis of optimization by gaussian continuation

Reference 55

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Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Differentiation of the Cholesky decomposition

Reference 56

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Reference 57

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Reference 58

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Reference 59

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Reference 60

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Reference 61

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Reference 62

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Reference 63

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Reference 64

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Reference 65

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Reference 66

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Reference 67

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Reference 68

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Reference 69

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Reference 70

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Reference 71

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Reference 72

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Reference 73

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Reference 74

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Reference 75

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Reference 76

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Reference 77

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Reference 78

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