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Paper Citation Record · LEDGER

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference

As of 7 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 0 inbound Pith citation observations for arXiv:2507.07853.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.07853 v1

Coverage vector

measured 78 of 78 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:39:19.683795Z

measured 78 of 78 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

78 of 78 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cb4d642c-14fd-43d5-bcc5-49ed9728721d · outbound

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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Observation 7b2b5931-a782-4988-a044-9c45dfe8ff06 · outbound

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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Observation 0fe0dc32-3deb-4487-acb6-fbd469bb9cf2 · outbound

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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Observation 01a04e00-5fa6-4754-a6a2-62da0cb2cd2f · outbound

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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Source-reported events for the cited work

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Observation 6f93e203-d4f2-467f-83a4-75415e7ce055 · outbound

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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Observation 929b6e76-05f2-45cf-b54b-1e5af8290a8c · outbound

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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Source-reported events for the cited work

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Observation 8f0bbeda-1305-4f31-abc1-8581c399f13e · outbound

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1076aaf5-c023-4b02-bbae-5173ee483506 · outbound

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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Source-reported events for the cited work

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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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 907a30b3-6a7a-4eb6-b6a5-98dcc9c94229 · outbound

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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Source-reported events for the cited work

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Observation 5546e807-f436-4c14-8e24-cf5604d1704a · outbound

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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Source-reported events for the cited work

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Observation 26d3b1ce-bb93-4c54-a455-6b8684b3e36b · outbound

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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Source-reported events for the cited work

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Observation 593df9b0-01e0-4664-be0f-7fcf133dce46 · outbound

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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Source-reported events for the cited work

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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

Resolution
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Source-reported events for the cited work

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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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Source-reported events for the cited work

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Observation 57ea315c-7d23-4695-883c-64edea487c5f · outbound

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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Source-reported events for the cited work

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Observation 8dc0268e-bffa-4423-9c8b-2b4586b3e09b · outbound

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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Source-reported events for the cited work

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Observation 757b3aeb-1895-4be6-9232-6e0b4e2627b7 · outbound

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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Source-reported events for the cited work

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Observation 1a8db2ba-0ef0-4fae-91d7-b5ceac2a462a · outbound

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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verified fuzzy
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Source-reported events for the cited work

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Observation 680020f8-74a5-4b06-ac30-eb60655dce6b · outbound

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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verified fuzzy
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Source-reported events for the cited work

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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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Source-reported events for the cited work

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Observation 70cce366-349c-4cba-898d-9651b0ea8d06 · outbound

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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Observation 0405e7b9-13e6-485a-81f0-6dbe6b43e85b · outbound

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

Reference 24

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Source-reported events for the cited work

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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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Source-reported events for the cited work

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Observation 6adce84f-2628-43dd-9f79-0d34445b6fbe · outbound

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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Source-reported events for the cited work

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Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Gaussian Processes for Big Data

Reference 27

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Source-reported events for the cited work

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

Reference 28

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verified fuzzy
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Source-reported events for the cited work

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Observation ffe59553-2a32-4e0a-b02b-32cad9a82bcb · outbound

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

Reference 29

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 4e99b682-6962-40a7-bfeb-4c1264970bd9 · outbound

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

Reference 30

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d537d6ee-29a2-49d1-9772-38765074c288 · outbound

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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 5c749194-e904-410c-a62d-44e4aaf81ef3 · outbound

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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:39:15.320018Z digest=sha256:a9e5ca7a4ed92a4eff3c4a6db73047872e6f6367e810bc5b1fe0ef0f7646bf90

Observation ee0a873e-d844-4b7f-afc2-c3e70b9bf373 · outbound

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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 5524e16a-e45d-4f1f-a01e-2a65812f8566 · outbound

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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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Observation 55965671-1999-408d-a304-40b3a0fe9f09 · outbound

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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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 19baa88d-ca98-4700-8f2f-299eabc16c29 · outbound

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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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 258910ec-652a-4351-a584-9ef18fe51aa9 · outbound

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

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Variational Adaptive-Newton Method for Explorative Learning

Reference 39

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation bb8e42ad-f72f-45ac-9cde-93490e33f691 · outbound

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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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 732c64ed-008b-465d-ac43-d0e20503eb75 · outbound

This paper cites Auto-Encoding Variational Bayes.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Auto-Encoding Variational Bayes

Reference 41

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Unavailable: canonical work link unavailable.

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Observation 40b95caa-b9a6-4773-8aaf-70fa8fa8a07d · outbound

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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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation e3cb9dcd-6eb2-4497-9f76-e25afb141d8f · outbound

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

Reference 45

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 39890965-eec9-43a7-85a1-c33e3ef7dec3 · outbound

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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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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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local_arxiv, observed 2026-08-06T18:39:19.964489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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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Unavailable: canonical work link unavailable.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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

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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

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation c175d8af-25f2-41cd-bd06-61f08f91faf4 · outbound

This paper cites A theoretical analysis of optimization by gaussian continuation.

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

Reference 55

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Unavailable: canonical work link unavailable.

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This paper cites Differentiation of the Cholesky decomposition.

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

Reference 56

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This paper cites Practical deep learning with bayesian principles.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Practical deep learning with bayesian principles

Reference 57

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b94b6a72-4667-4959-b41d-1fe096b84791 · outbound

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Reference 58

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

Reference 59

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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This paper cites Fast black-box variational inference through stochastic trust-region optimization.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Fast black-box variational inference through stochastic trust-region optimization

Reference 60

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Reference 61

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Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Natural gradients in practice: Non-conjugate variational inference in gaussian process models

Reference 62

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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This paper cites Variational learning is effective for large deep networks.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Variational learning is effective for large deep networks

Reference 63

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 7d189caa-36d8-40a1-b892-3bf352f1fcca · outbound

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Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Variational Learning is Effective for Large Deep Networks

Reference 64

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Unavailable: canonical work link unavailable.

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This paper cites Introduction to stochastic search and optimization: estimation, simulation, and control.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Introduction to stochastic search and optimization: estimation, simulation, and control

Reference 65

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Variational Optimization

Reference 66

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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This paper cites Efficient natural evolution strategies.

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

Reference 67

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 104c1252-0bf9-47f8-9611-42bb0bfe32ac · outbound

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Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Introduction to reinforcement learning

Reference 68

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 4e858139-05ad-4311-a547-74794c2b2ac3 · outbound

This paper cites Analytic natural gradient updates for cholesky factor in gaussian variational approximation.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Analytic natural gradient updates for cholesky factor in gaussian variational approximation

Reference 69

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 7dd29bcb-fac7-4374-9e5f-09fa3a40dfcb · outbound

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Optimization Guarantees for Square-Root Natural-Gradient Variational Inference The variational predictive natural gradient

Reference 70

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 94a2b444-60a7-42c8-b38e-918d3960422c · outbound

This paper cites Entropic proximal mappings with applications to nonlinear programming.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Entropic proximal mappings with applications to nonlinear programming

Reference 71

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation dfca27ea-4ec6-4b97-a561-11e5d5d2ed43 · outbound

This paper cites A trust-region method for stochastic variational inference with applications to streaming data.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference A trust-region method for stochastic variational inference with applications to streaming data

Reference 72

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation f584e992-3fc1-4034-a665-7bf5c4cf750f · outbound

This paper cites Doubly stochastic variational bayes for non-conjugate inference.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Doubly stochastic variational bayes for non-conjugate inference

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:39:23.065264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:39:19.120299Z digest=sha256:ce049428f77fdc9390b422a4ade03bd3cf1e35a4cf542d043d5756d0bdf12703

Observation cb22cc20-6abb-42dc-b511-eb7bc0e15010 · outbound

This paper cites Graphical models, exponential families, and variational inference.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Graphical models, exponential families, and variational inference

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:39:22.888651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:39:19.162131Z digest=sha256:ef3cccf1cdb0017f9b101d708d61c91617b8081b4d3b7c687810a2bb609670c9

Observation f11aced1-edb5-4936-8d23-63b2d32d09d2 · outbound

This paper cites Function optimization using connectionist reinforcement learning algorithms.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Function optimization using connectionist reinforcement learning algorithms

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:39:22.668869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:39:19.257105Z digest=sha256:0f2ec085c5097afbd979729efb391e4d83b0074992e42298018cabc67942a66c

Observation dac3c5d5-b618-41f4-b1d3-08492394a615 · outbound

This paper cites Understanding Stochastic Natural Gradient Variational Inference.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Understanding Stochastic Natural Gradient Variational Inference

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-06T18:39:19.389478Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:39:19.389478Z digest=sha256:3e75a42b8ea7cfc435c66fe18d1921a1fa6e666db777c93181497d211152284e

Observation e35a877e-1c25-4a35-9b36-a17506bc586f · outbound

This paper cites Theoretical analysis of a class of randomized regularization methods.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Theoretical analysis of a class of randomized regularization methods

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:39:22.462033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T18:39:19.531418Z digest=sha256:d2dfbf6c4c9813ca4de14b42b617d83152a5dfcfe06ca7ea32e5474ef36cdbda

Observation 9d05d0e7-98a5-47a7-8217-4e40bb22abb4 · outbound

This paper cites write newline.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference write newline

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-06T18:39:19.683795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:39:19.683795Z digest=sha256:bef79321d4a564536c0998da65c58e7047d0f37ea795cd7edce90cac757c657b

Pith citing papers

No inbound Pith citation observations are available.