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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

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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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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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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

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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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Observation 811e3217-4435-47e7-aafa-98454cfb1034 · outbound

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

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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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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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Observation 3d4a345b-d930-48de-8885-88a070fd0811 · outbound

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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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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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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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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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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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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Source-reported events for the cited work

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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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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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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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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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verified fuzzy
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Source-reported events for the cited work

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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

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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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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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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 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

Resolution
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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unresolved
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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=sha256:2e7972eefcbf674e852d75174c8bb35764af198a1d360f3de115aef9ec578c74

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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

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

This paper cites Smoothing-based optimization.

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

Reference 45

Resolution
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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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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 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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verified exact
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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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 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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 14a7144f-7a1f-40a7-b573-c3879113fafa · outbound

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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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

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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 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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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 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

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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 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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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 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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7d767400-8cda-4f39-882d-5bf0c6fae6d7 · outbound

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:39:17.750016Z digest=sha256:ce16210d7d1f360a80027e7a6e76bf738b0ba89393fc8f2fb448af3dc011ef58

Observation 306c22b0-72b0-47c4-b072-586530896d42 · outbound

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

This paper cites an unresolved cited work.

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference Unresolved cited work

Reference 58

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Unavailable: canonical work link unavailable.

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Observation c2d46861-c33e-4883-b3b7-2df43a6627b7 · outbound

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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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Observation 26c5aa62-9611-4569-a65a-29df006a2290 · outbound

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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Observation f90674e7-e636-4315-9663-2fe9902a5296 · outbound

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Reference 61

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Unavailable: canonical work link unavailable.

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Observation a986a1cd-912e-4298-84a7-8cad49031a29 · outbound

This paper cites Natural gradients in practice: Non-conjugate variational inference in gaussian process models.

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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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 3639fe1c-3736-49d3-9333-fcea9d4f2ca6 · outbound

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

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 64

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Source-reported events for the cited work

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.

source=arxiv_source observed=2026-08-06T18:39:18.458570Z digest=sha256:2ea04563a57cee399a20ca94b35764314cd22e3f87f788fdca2240e1ecb499df

Observation d03f5d34-4aa1-4843-8005-107d8c6c95b6 · outbound

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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.

source=arxiv_source observed=2026-08-06T18:39:18.538778Z digest=sha256:56027096341930e07c58b65c77f2ce005d395931d2077b286db91c494ce6ec6f

Observation 7114a55f-a541-4510-97da-9d8134a04112 · outbound

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.

source=arxiv_source observed=2026-08-06T18:39:18.664153Z digest=sha256:6307580dc158683ed33f4e908893ade190b16684437945e2ca96f745517977f3

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

This paper cites Introduction to reinforcement learning.

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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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=2026-08-06T18:39:18.842111Z digest=sha256:5282df6c6121b9f71538d47ff899ab23aae3eba17d3eaed63e580c865555decb

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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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=2026-08-06T18:39:18.928088Z digest=sha256:30a2e7bd1cf1150ac41c28a9060097d0255597ad4c4185877dab58c7d2de5804

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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raw_fallback, observed 2026-08-06T18:39:23.305411Z

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 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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raw_fallback, observed 2026-08-06T18:39:23.185838Z

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=2026-08-06T18:39:19.065939Z digest=sha256:5f881be7126288907fcb9834d010349c461dfe9aff70e93ee532f8d392d08ae6

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:dca05416e160b98b96d4a114c269409f60bda27ae0999130c659792bd15cb8e7

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:fbb581f10ad8af6377125795acb880f13c2498c34959c4e1a38dbba5c1d8da76

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=sha256:92779ca338bcddb4c7484c3a328ac2f4e829dd209574c33795f04af951c582d2

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:39:19.389478Z digest=sha256:dc19a31f2489df59438616c52e5b4e662d9d54da0f063616a0e78d0cbff6e6d2

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=sha256:026365026ee36667c68d89cff33dc85aa0eeab60abc36fcfa8c173ad6fc4c1d9

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=sha256:938969bf6351da4b293cf3f96f2b0422ed7e3dc8e425307e2e39a2bc464c5dae

Pith citing papers

No inbound Pith citation observations are available.