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Paper Citation Record · LEDGER

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order

As of 11 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 0 inbound Pith citation observations for arXiv:2607.22353.

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pith.paper-citation-record.v1
2607.22353 v1

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measured 79 of 79 reference resolution

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Reference resolution

79 of 79 outbound references displayed

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Outbound references

Observation bb065fc0-0a05-4c0b-b8b9-c5cb1a9aef5e · outbound

This paper cites an unresolved cited work.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Unresolved cited work

Reference 1

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Observation 4ec1a498-9928-412e-9347-e24d39d8504b · outbound

This paper cites Springer, 2014.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Springer, 2014

Reference 2

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Observation 4f5f28b9-db8f-45c4-90cb-78ae3920ff74 · outbound

This paper cites Erdogdu, Adil Salim, and Shunshi Zhang.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Erdogdu, Adil Salim, and Shunshi Zhang

Reference 3

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Observation 50bfd91b-b04d-4890-be28-702397444265 · outbound

This paper cites Constrained consensus-based optimization and numerical heuristics for the few particle regime.Journal of Global Optimization, 2026.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Constrained consensus-based optimization and numerical heuristics for the few particle regime.Journal of Global Optimization, 2026

Reference 4

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Observation 904deeec-e6de-4481-b2a6-f8295a6c344d · outbound

This paper cites an unresolved cited work.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Unresolved cited work

Reference 5

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Observation 444dfb63-7670-4840-b9aa-cb59e2401700 · outbound

This paper cites Weighted Csisz´ ar-Kullback-Pinsker inequalities and applications to transportation inequalities.Annales de la Facult´ e des sciences de Toulouse : Math´ ematiques, Ser.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Weighted Csisz´ ar-Kullback-Pinsker inequalities and applications to transportation inequalities.Annales de la Facult´ e des sciences de Toulouse : Math´ ematiques, Ser

Reference 6

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Observation 603d0cdc-0205-43c1-848f-690c49a9645e · outbound

This paper cites A distributed Plug- and-Play MCMC algorithm for high-dimensional inverse problems.IEEE Transactions on Computa- tional Imaging, 12:839–849, 2026.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order A distributed Plug- and-Play MCMC algorithm for high-dimensional inverse problems.IEEE Transactions on Computa- tional Imaging, 12:839–849, 2026

Reference 7

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Observation 60039717-a66f-4bb6-84dc-d2cba9db5934 · outbound

This paper cites Springer, 2015.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Springer, 2015

Reference 8

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Observation 0e231cfa-5130-474a-ac4d-6ddf26759c05 · outbound

This paper cites Metastability in reversible diffu- sion processes I: Sharp asymptotics for capacities and exit times.Journal of the European Mathematical Society, 6(4):399–424, 2004.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Metastability in reversible diffu- sion processes I: Sharp asymptotics for capacities and exit times.Journal of the European Mathematical Society, 6(4):399–424, 2004

Reference 9

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This paper cites an unresolved cited work.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Unresolved cited work

Reference 10

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Observation d7fd3b98-8a92-4dac-ae1b-7b4b48f999c7 · outbound

This paper cites Carrillo, Shi Jin, Lei Li, and Yuhua Zhu.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Carrillo, Shi Jin, Lei Li, and Yuhua Zhu

Reference 11

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Observation c38a3abb-357a-4e27-ba88-6bb607076fb9 · outbound

This paper cites Functional inequalities for perturbed measures with applications to log-concave measures and to some Bayesian problems.Bernoulli, 28(4):2294–2321, 2022.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Functional inequalities for perturbed measures with applications to log-concave measures and to some Bayesian problems.Bernoulli, 28(4):2294–2321, 2022

Reference 12

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Observation 5f696dad-9e3b-4ea1-9bd3-a9effbf69504 · outbound

This paper cites A note on Talagrand’s transportation inequality and logarithmic Sobolev inequality.Probability Theory and Related Fields, 148(1–2):285–304, 2010.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order A note on Talagrand’s transportation inequality and logarithmic Sobolev inequality.Probability Theory and Related Fields, 148(1–2):285–304, 2010

Reference 13

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Observation 6f530e9c-1608-4ad9-8e58-8e557acedfda · outbound

This paper cites Chen, Ayush Sekhari, and Karthik Sridharan.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Chen, Ayush Sekhari, and Karthik Sridharan

Reference 14

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Observation 54c2479e-0df8-486c-b4cf-c7b9f0675f88 · outbound

This paper cites Zoo: Zeroth order optimiza- tion based black-box attacks to deep neural networks without training substitute models.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Zoo: Zeroth order optimiza- tion based black-box attacks to deep neural networks without training substitute models

Reference 15

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Observation 68a876cf-a655-4976-a101-1e183a57bae8 · outbound

This paper cites Chatterji, Yasin Abbasi-Yadkori, Peter L.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Chatterji, Yasin Abbasi-Yadkori, Peter L

Reference 16

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Observation 40bf168b-ccff-4a17-b30e-5dea1cb1bc6f · outbound

This paper cites Erdogdu, Mufan Li, Ruoqi Shen, and Shunshi Zhang.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Erdogdu, Mufan Li, Ruoqi Shen, and Shunshi Zhang

Reference 17

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Observation 2762a53c-a1e1-43ba-b7ca-7a87a11eead9 · outbound

This paper cites Diffusion for global optimization inR n.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Diffusion for global optimization inR n

Reference 18

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Observation fae021b9-5404-43e0-beb8-f4f6cb770e35 · outbound

This paper cites Conn, Katya Scheinberg, and Luis N.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Conn, Katya Scheinberg, and Luis N

Reference 19

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Observation 9206da60-7f08-43b9-a53a-73ee81375369 · outbound

This paper cites Dalalyan.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Dalalyan

Reference 20

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Observation e5012f4c-a70c-449e-b51a-1b73c6cfd166 · outbound

This paper cites Dalalyan and Avetik Karagulyan.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Dalalyan and Avetik Karagulyan

Reference 21

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Observation e2ab4bfb-e551-46c1-9ed5-8491dc86e1f9 · outbound

This paper cites Nagaraj, and Anant Raj.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Nagaraj, and Anant Raj

Reference 22

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Observation fccecec3-d3c7-4c64-b774-fac7b0ac3633 · outbound

This paper cites Duchi, Michael I.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Duchi, Michael I

Reference 23

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Observation b39f5ae4-233a-46dd-89f4-f8347d508c44 · outbound

This paper cites Analysis of Langevin Monte Carlo via convex optimization.Journal of Machine Learning Research, 20(73):1–46, 2019.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Analysis of Langevin Monte Carlo via convex optimization.Journal of Machine Learning Research, 20(73):1–46, 2019

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Observation 5424259e-0af8-4cf3-858e-17679f37ca05 · outbound

This paper cites Nonasymptotic convergence analysis for the unadjusted Langevin algorithm.The Annals of Applied Probability, 27(3):1551–1587, 2017.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Nonasymptotic convergence analysis for the unadjusted Langevin algorithm.The Annals of Applied Probability, 27(3):1551–1587, 2017

Reference 25

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Observation 8ecb050e-f206-49fd-9cfd-0da14d022b2e · outbound

This paper cites Reflection couplings and contraction rates for diffusions.Probability Theory and Related Fields, 166(3):851–886, Dec 2016.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Reflection couplings and contraction rates for diffusions.Probability Theory and Related Fields, 166(3):851–886, Dec 2016

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Observation feb3b07b-464c-4213-b775-7fc210bd2efa · outbound

This paper cites Ehrhardt, Lorenz Kuger, and Carola-Bibiane Sch¨ onlieb.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Ehrhardt, Lorenz Kuger, and Carola-Bibiane Sch¨ onlieb

Reference 27

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Observation c38f64d9-6331-42ec-b916-259e86a426a7 · outbound

This paper cites Erdogdu and Rasa Hosseinzadeh.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Erdogdu and Rasa Hosseinzadeh

Reference 28

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Observation 1556e89f-bbaf-439b-bea5-17d7dea056b5 · outbound

This paper cites Flaxman, Adam T.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Flaxman, Adam T

Reference 29

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Observation 7cf3245e-3cab-4c48-93f8-0ab98e3f393b · outbound

This paper cites From consensus-based optimiza- tion to evolution strategies: Proof of global convergence, 2026.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order From consensus-based optimiza- tion to evolution strategies: Proof of global convergence, 2026

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Observation 57c13d4f-1d1a-4fd9-b83c-99aba4397343 · outbound

This paper cites Consensus-based optimization methods converge globally.SIAM Journal on Optimization, 34(3):2973–3004, 2024.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Consensus-based optimization methods converge globally.SIAM Journal on Optimization, 34(3):2973–3004, 2024

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Observation e054d5ab-a4bf-4d75-8730-c3289554be49 · outbound

This paper cites On the information-adaptive variants of the admm: An iteration complexity perspective.Journal of Scientific Computing, 76(1):327–363, Jul 2018.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order On the information-adaptive variants of the admm: An iteration complexity perspective.Journal of Scientific Computing, 76(1):327–363, Jul 2018

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source=pdf_text observed=2026-08-01T05:13:36.137566Z digest=sha256:f40a6d0498c6ebc09fe0db1c9b626095514bb014dd0cccc17632bd9362bbb9e4

Observation 5e1130b5-2fbe-4d22-9eb6-5bba34248b8b · outbound

This paper cites Diffusions for global optimization.SIAM Journal on Control and Optimization, 24(5):1031–1043, 1986.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Diffusions for global optimization.SIAM Journal on Control and Optimization, 24(5):1031–1043, 1986

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Observation 784a235d-34ec-442b-acd3-145355c45450 · outbound

This paper cites Stochastic first- and zeroth-order methods for nonconvex stochastic programming.SIAM Journal on Optimization, 23(4):2341–2368, 2013.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Stochastic first- and zeroth-order methods for nonconvex stochastic programming.SIAM Journal on Optimization, 23(4):2341–2368, 2013

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Observation 0d183d6a-e89e-4b3f-a9b3-b841b17eec02 · outbound

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Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Unresolved cited work

Reference 35

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source=pdf_text observed=2026-08-01T05:13:36.447292Z digest=sha256:b9ec9cbfe59f9d39d59c9e3bb509c980f6dfac63b388b378b1708366d1a8bb12

Observation 94eab770-13b9-412f-a439-b0b06400efc6 · outbound

This paper cites SGD for structured nonconvex functions: Learn- ing rates, minibatching and interpolation.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order SGD for structured nonconvex functions: Learn- ing rates, minibatching and interpolation

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Observation 0f8c0bc0-ba79-4b33-9a8c-16bd838b5a24 · outbound

This paper cites Diffusion at absolute zero: Langevin sampling using successive Moreau envelopes.SIAM Journal on Imaging Sciences, 19(1):35–77, 2026.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Diffusion at absolute zero: Langevin sampling using successive Moreau envelopes.SIAM Journal on Imaging Sciences, 19(1):35–77, 2026

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Observation ab80c46f-c2e7-4123-9d26-631a63142e26 · outbound

This paper cites Subgradient Langevin methods for sampling from nonsmooth potentials.SIAM Journal on Mathematics of Data Science, 6(4):897–925, 2024.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Subgradient Langevin methods for sampling from nonsmooth potentials.SIAM Journal on Mathematics of Data Science, 6(4):897–925, 2024

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source=pdf_text observed=2026-08-01T05:13:36.832878Z digest=sha256:019438f273d0b1fd6ae96e8832703554d867ec45a3cc338493b71d71227239db

Observation 7f4b71bd-6e0f-42c0-bb67-00bcca82dacd · outbound

This paper cites Forward-KL convergence of time-inhomogeneous Langevin diffu- sions, 2026.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Forward-KL convergence of time-inhomogeneous Langevin diffu- sions, 2026

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source=pdf_text observed=2026-08-01T05:13:36.883139Z digest=sha256:f26503646140dff6bc7f5e866a9703d71a5a523bccb5cb39eb1443b62cb08a51

Observation 0b5fff09-9c30-4dae-b7eb-dc47e6feac25 · outbound

This paper cites Cooling schedules for optimal annealing.Mathematics of Operations Research, 13(2):311– 329, 1988.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Cooling schedules for optimal annealing.Mathematics of Operations Research, 13(2):311– 329, 1988

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source=pdf_text observed=2026-08-01T05:13:36.998542Z digest=sha256:91145fa63e4a7055db53627f2379227ca20f4dfad1c74b5bb250ae357b880ef9

Observation 4e2163a7-45a1-49ca-bc26-67efd646a007 · outbound

This paper cites Harris, K.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Harris, K

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source=pdf_text observed=2026-08-01T05:13:37.072228Z digest=sha256:3402270d54d5570e2d75befa6609a6fc0c07c3310f1018725cbe951c2d499701

Observation ebe7ffa8-c55d-4f9f-9da8-b48760f5cb85 · outbound

This paper cites Logarithmic Sobolev inequalities and stochastic Ising models.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Logarithmic Sobolev inequalities and stochastic Ising models

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Observation 6cc211d3-0446-4507-973b-e941de49ae6c · outbound

This paper cites an unresolved cited work.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Unresolved cited work

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source=pdf_text observed=2026-08-01T05:13:37.251024Z digest=sha256:0ff4db05865b8fdb635b6c2ff0e29ee1c7afc2abaac8d5535575ac69265a2517

Observation b17d9087-f9d3-4218-bf3c-acc16390fcb4 · outbound

This paper cites The performance of the unadjusted Langevin algorithm without smoothness assumptions, 2025.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order The performance of the unadjusted Langevin algorithm without smoothness assumptions, 2025

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source=pdf_text observed=2026-08-01T05:13:37.373651Z digest=sha256:fe2312d8b24202875254d3191d93302ae3bf8dd815cd97a4e97bd293d3375eca

Observation b616ef62-961d-4b33-b130-2d22144e5281 · outbound

This paper cites Improved convergence rate of stochastic gradient Langevin dynam- ics with variance reduction and its application to optimization.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Improved convergence rate of stochastic gradient Langevin dynam- ics with variance reduction and its application to optimization

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source=pdf_text observed=2026-08-01T05:13:37.457465Z digest=sha256:fa72bb78dad4b6fa81ebdb45e1c380cf6dc16367ff789bcb1078737b67d93cd5

Observation 146f071d-992b-45ff-81c7-1181c59b7afb · outbound

This paper cites Zygalakis.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Zygalakis

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source=pdf_text observed=2026-08-01T05:13:37.546558Z digest=sha256:124b8ed21574e759cafd69ab672612a7d9944b58a94cec47112552e3cfd2e25c

Observation 0909da5b-ba7d-4e1c-9fe4-9230a04b282d · outbound

This paper cites Proximal basin hopping: global optimization with guarantees, 2026.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Proximal basin hopping: global optimization with guarantees, 2026

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source=pdf_text observed=2026-08-01T05:13:37.679806Z digest=sha256:4f388103b69daf01502c509b613b731ab57b0698dd2cacae6b8f99f31844efb2

Observation 98188150-828f-4cfe-8db6-61b77fac94f7 · outbound

This paper cites Bayesian imaging using Plug & Play priors: When Langevin meets Tweedie.SIAM Journal on Imaging Sciences, 15(2):701–737, 2022.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Bayesian imaging using Plug & Play priors: When Langevin meets Tweedie.SIAM Journal on Imaging Sciences, 15(2):701–737, 2022

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source=pdf_text observed=2026-08-01T05:13:37.729800Z digest=sha256:edd3a31500be5b4e0f2bad1f4bb77e0f47de843e2f0e6d13e952e1d5a214242a

Observation dcf1e02c-fae9-4888-aadb-04518de490dd · outbound

This paper cites On maximum a posteriori estimation with Plug & Play priors and stochastic gradient descent.Journal of Mathematical Imaging and Vision, 65(1):140–163, Jan 2023.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order On maximum a posteriori estimation with Plug & Play priors and stochastic gradient descent.Journal of Mathematical Imaging and Vision, 65(1):140–163, Jan 2023

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source=pdf_text observed=2026-08-01T05:13:37.789253Z digest=sha256:0dad88a76b49080b58392bfc81c31378c8a980635c825827f9ed9a2d603b9933

Observation 3caefd63-78c7-4d14-bdc7-94fa2538a869 · outbound

This paper cites Almost sure convergence rates analysis and saddle avoidance of stochastic gradient methods.Journal of Machine Learning Research, 25(271):1–40, 2024.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Almost sure convergence rates analysis and saddle avoidance of stochastic gradient methods.Journal of Machine Learning Research, 25(271):1–40, 2024

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source=pdf_text observed=2026-08-01T05:13:37.887600Z digest=sha256:67027936fa251a6e01b50b79c91089cdb7f514c4afc36b74dcee1e5e0ecc5233

Observation 3d77fab7-3a4c-40a5-b1c3-991031f234a2 · outbound

This paper cites One-point gradient estimators for zeroth-order stochastic gradient Langevin dynamics.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order One-point gradient estimators for zeroth-order stochastic gradient Langevin dynamics

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source=pdf_text observed=2026-08-01T05:13:37.998022Z digest=sha256:f7fe5adef2936441a2ce234c4ae9a4d1d9f2432828bfb2be04b597512f546c02

Observation 8818d265-fe3a-43f7-864a-ccf1cd323bf0 · outbound

This paper cites Majka, Aleksandar Mijatovi´ c, and Lukasz Szpruch.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Majka, Aleksandar Mijatovi´ c, and Lukasz Szpruch

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source=pdf_text observed=2026-08-01T05:13:38.068639Z digest=sha256:0405a709f307b2aab6388b5cc756594e0189d0a5d6d529efce3fc4e5387b8917

Observation eea998c7-1979-464a-aded-a8f26707cdd6 · outbound

This paper cites Global optimization of Lipschitz functions.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Global optimization of Lipschitz functions

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Observation 17dcd76b-acff-4dae-af74-a6a7da2eea0a · outbound

This paper cites Lee, Danqi Chen, and Sanjeev Arora.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Lee, Danqi Chen, and Sanjeev Arora

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source=pdf_text observed=2026-08-01T05:13:38.289544Z digest=sha256:54dfacd318545e3a6d0037b87c98396af9b88ed2ecf43054bd2601f0aa0aedaf

Observation 67823ca0-661d-4e9e-b410-c1746e599988 · outbound

This paper cites Mattingly, Andrew M.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Mattingly, Andrew M

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source=pdf_text observed=2026-08-01T05:13:38.344672Z digest=sha256:b15df5ada442872da8623034cfcba08fbecb7ad9e9eebf13cce9dce990a728ef

Observation 64782abe-270d-4c7a-bb3c-118dcc170e40 · outbound

This paper cites Convergence of zeroth-order proximal point algorithms in the high-temperature regime, 2026.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Convergence of zeroth-order proximal point algorithms in the high-temperature regime, 2026

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source=pdf_text observed=2026-08-01T05:13:38.499392Z digest=sha256:2b38bc11ba1f89cc6ebb9d58140c56bfe83213ac61faae9883f383b5fa875154

Observation 8d419512-e3bd-4f9b-9bef-7802a47a2402 · outbound

This paper cites Random gradient-free minimization of convex functions.Foun- dations of Computational Mathematics, 17(2):527–566, Apr 2017.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Random gradient-free minimization of convex functions.Foun- dations of Computational Mathematics, 17(2):527–566, Apr 2017

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source=pdf_text observed=2026-08-01T05:13:38.609638Z digest=sha256:525a4eb85f151beb490c8475325ceb36738871ee743fe9d17d0c8fc7d04faf64

Observation c51b5ef4-4408-40d7-9303-6936eb251b36 · outbound

This paper cites Unadjusted Langevin algorithm for non-convex weakly smooth potentials.Communications in Mathematics and Statistics, 13(4):979–1036, Aug 2025.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Unadjusted Langevin algorithm for non-convex weakly smooth potentials.Communications in Mathematics and Statistics, 13(4):979–1036, Aug 2025

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Observation dfc6450b-7a22-4e73-ae01-c7c4eff2abae · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Pytorch: An imperative style, high-performance deep learning library

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source=pdf_text observed=2026-08-01T05:13:38.757675Z digest=sha256:81125a5cafa3737a57506fc38615a893d41869c337bc9c1dba522afabe764c81

Observation 8bbf3e73-81bd-4cd0-9623-145d4ad9e1c2 · outbound

This paper cites A consensus-based model for global optimization and its mean-field limit.Mathematical Models and Methods in Applied Sciences, 27(1):183– 204, 2017.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order A consensus-based model for global optimization and its mean-field limit.Mathematical Models and Methods in Applied Sciences, 27(1):183– 204, 2017

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Observation 902ce515-a6ea-41ed-90a1-3f6922fa2f94 · outbound

This paper cites Non-convex learning via stochastic gradient Langevin dynamics: a nonasymptotic analysis.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Non-convex learning via stochastic gradient Langevin dynamics: a nonasymptotic analysis

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source=pdf_text observed=2026-08-01T05:13:38.942268Z digest=sha256:364e70913f7066c5d6c704930a6d32c4b6cdc1d0e0bd70da2733bd6e9e170c31

Observation cc61011a-b86d-4378-95ab-d8e5777f1ba3 · outbound

This paper cites A new formulation for zeroth-order op- timization of adversarial EXEmples in malware detection.IEEE Transactions on Information Forensics and Security, 21:506–515, 2026.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order A new formulation for zeroth-order op- timization of adversarial EXEmples in malware detection.IEEE Transactions on Information Forensics and Security, 21:506–515, 2026

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source=pdf_text observed=2026-08-01T05:13:39.058966Z digest=sha256:7790d73def6ae23ca8101833a319923ebfcb5bc90c9348be91af9e22356a6d40

Observation d0c8ed0e-b01e-4a8c-9ec8-b8656a2763ab · outbound

This paper cites An optimal structured zeroth- order algorithm for non-smooth optimization.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order An optimal structured zeroth- order algorithm for non-smooth optimization

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Observation c4dab15e-860f-452e-b298-b759a1c02ef8 · outbound

This paper cites Stochastic zeroth order descent with structured directions.Computational Optimization and Applications, 89(3):691–727, Dec 2024.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Stochastic zeroth order descent with structured directions.Computational Optimization and Applications, 89(3):691–727, Dec 2024

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Observation 9ca1c297-5b84-4cec-9b11-701bd9559af7 · outbound

This paper cites A Structured Proximal Stochastic Variance Reduced Zeroth-order Algorithm.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order A Structured Proximal Stochastic Variance Reduced Zeroth-order Algorithm

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source=pdf_text observed=2026-08-01T05:13:39.448136Z digest=sha256:d24b4a21f07462a25716ee3ee79dc59c933af051abd6899b2d9560d3048d5ebe

Observation f362bf22-a11e-47e7-8a6d-7556194c5986 · outbound

This paper cites Zoba: An efficient single-loop zeroth-order bilevel optimization algo- rithm, 2026.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Zoba: An efficient single-loop zeroth-order bilevel optimization algo- rithm, 2026

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Observation 13333398-20d9-4573-b23a-910eb6bc1270 · outbound

This paper cites From stability of Langevin diffusion to convergence of proximal MCMC for non-log-concave sampling.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order From stability of Langevin diffusion to convergence of proximal MCMC for non-log-concave sampling

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Observation badceb99-b5a5-4850-b3f4-eb326f3367ff · outbound

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Observation b382ce06-6985-4e2c-b98f-e55a4fa2d324 · outbound

This paper cites Stochastic zeroth-order discretizations of Langevin diffusions for Bayesian inference.Bernoulli, 28(3):1810–1834, 2022.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Stochastic zeroth-order discretizations of Langevin diffusions for Bayesian inference.Bernoulli, 28(3):1810–1834, 2022

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source=pdf_text observed=2026-08-01T05:13:39.813796Z digest=sha256:949da90cc9bf0283dc2c070f4b274a4e92e16d2d306447462ea90f4109eaf53f

Observation 10ab4051-67d6-4fbb-b63d-166c60e14fc3 · outbound

This paper cites Automatic gain tuning for humanoid robots walking architectures using gradient-free optimization tech- niques.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Automatic gain tuning for humanoid robots walking architectures using gradient-free optimization tech- niques

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source=pdf_text observed=2026-08-01T05:13:39.904905Z digest=sha256:ffe2f0faa33e1e055fccb16f9ef283f54fee20a740b765c874a19a79861b5769

Observation e1ddd7d4-f039-4429-ada0-46f53d183448 · outbound

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Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Solis and Roger J-B

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source=pdf_text observed=2026-08-01T05:13:39.992958Z digest=sha256:1e4c898c2aab2b37aeee0e06ef3dfdc837cec90a7acfdad4f62fa64e62f903d3

Observation 7cb719e6-9682-45bf-9984-f2f8b233c74d · outbound

This paper cites Discrete-time simulated annealing: A convergence analysis via the eyring–kramers law.Numerical Algebra, Control and Optimization, 14(4):778–794, 2024.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Discrete-time simulated annealing: A convergence analysis via the eyring–kramers law.Numerical Algebra, Control and Optimization, 14(4):778–794, 2024

Reference 72

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Observation bbd3aa95-ff89-49d2-b9cd-53a81e3780d4 · outbound

This paper cites Tail probability estimates of continuous-time simulated annealing processes.Numerical Algebra, Control and Optimization, 13(3&4):473–485, 2023.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Tail probability estimates of continuous-time simulated annealing processes.Numerical Algebra, Control and Optimization, 13(3&4):473–485, 2023

Reference 73

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Observation 74c46d04-f0d4-4fa0-b2cc-f13bbab1f269 · outbound

This paper cites Rapid convergence of the unadjusted Langevin algorithm: Isoperimetry suffices.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Rapid convergence of the unadjusted Langevin algorithm: Isoperimetry suffices

Reference 74

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Observation 680076ea-b98e-4795-80ae-823a8058f237 · outbound

This paper cites Springer Berlin, Heidelberg, Berlin, Heidelberg, 2009.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Springer Berlin, Heidelberg, Berlin, Heidelberg, 2009

Reference 75

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Observation f447e18e-098e-434b-af4e-443bc45d7deb · outbound

This paper cites Global convergence of Langevin dynamics based algorithms for nonconvex optimization.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Global convergence of Langevin dynamics based algorithms for nonconvex optimization

Reference 76

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Observation d4568446-9445-4b0c-919f-1228aa5ab996 · outbound

This paper cites Inexact proximal point algorithms for zeroth-order global optimization, 2024.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Inexact proximal point algorithms for zeroth-order global optimization, 2024

Reference 77

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Observation 8d5f2c93-9e84-4779-93b6-c87b53c81234 · outbound

This paper cites Faster convergence of stochastic gradient Langevin dynamics for non-log-concave sampling.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Faster convergence of stochastic gradient Langevin dynamics for non-log-concave sampling

Reference 78

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Observation 055e9d63-f822-497c-8e3a-09e49eed3565 · outbound

This paper cites Moreover, their main result is a Wasserstein tracking bound to the Gibbs measure, rather than an explicit expected-excess-risk oracle complexity.

Langevin for Nonconvex Optimization: Exact, Inexact and Zeroth-Order Moreover, their main result is a Wasserstein tracking bound to the Gibbs measure, rather than an explicit expected-excess-risk oracle complexity

Reference 79

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