Subspace Langevin Monte Carlo | Paper Citation Record

Observation c953767f-15fc-4129-af3c-10ee7ee88bcd · outbound

This paper cites Efficientconstrainedsamplingviathemirror-langevin algorithm.

Subspace Langevin Monte Carlo Efficientconstrainedsamplingviathemirror-langevin algorithm

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:49.525639Z

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Observation d53601b6-cfcb-46e4-96ab-9818dd7ac765 · outbound

This paper cites The fast Johnson–Lindenstrauss transform and approximate nearest neighbors.SIAM Journal on Computing, 39(1):302–322, 2009.

Subspace Langevin Monte Carlo The fast Johnson–Lindenstrauss transform and approximate nearest neighbors.SIAM Journal on Computing, 39(1):302–322, 2009

Reference 2

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Observation 10ea95b9-27d6-4e1d-abbe-54591b0f36de · outbound

This paper cites Springer Science & Business Media, 2008.

Subspace Langevin Monte Carlo Springer Science & Business Media, 2008

Reference 3

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Observation 8b344bd8-ea91-4f4d-a74c-84212a13c441 · outbound

This paper cites High- dimensional sgd aligns with emerging outlier eigenspaces.

Subspace Langevin Monte Carlo High- dimensional sgd aligns with emerging outlier eigenspaces

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:49.483281Z

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Observation 1d65d0d9-40bd-40f1-a1df-c4dcd9e3d982 · outbound

This paper cites Fast Sampling and Inference via Preconditioned Langevin Dynamics.

Subspace Langevin Monte Carlo Fast Sampling and Inference via Preconditioned Langevin Dynamics

Reference 5

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Observation ef26b072-850e-4796-ab25-7160cd5a0996 · outbound

This paper cites Efficientgradient flows in sliced-Wasserstein space.Transactions on Machine Learning Research, 2022.

Subspace Langevin Monte Carlo Efficientgradient flows in sliced-Wasserstein space.Transactions on Machine Learning Research, 2022

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:49.467800Z

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Observation 152b93ea-9001-4110-adae-057fd4557ac3 · outbound

This paper cites Mirror and Preconditioned Gradient Descent in Wasserstein Space.

Subspace Langevin Monte Carlo Mirror and Preconditioned Gradient Descent in Wasserstein Space

Reference 7

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Observation 46a8ba85-88ab-4c93-a26b-892b1e297881 · outbound

This paper cites Sliced and Radon Wasserstein barycenters of measures.Journal of Mathematical Imaging and Vision, 51: 22–45, 2015.

Subspace Langevin Monte Carlo Sliced and Radon Wasserstein barycenters of measures.Journal of Mathematical Imaging and Vision, 51: 22–45, 2015

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:49.449282Z

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Observation f09be30b-91ff-4fa3-a0c2-dea3f10678d2 · outbound

This paper cites Finding frequent items in data streams.

Subspace Langevin Monte Carlo Finding frequent items in data streams

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T12:47:47.892172Z

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Observation f83abb2f-f733-4ba1-8537-5b5367417cfd · outbound

This paper cites Exploring low-dimensional subspaces in diffusion models for controllable image editing.

Subspace Langevin Monte Carlo Exploring low-dimensional subspaces in diffusion models for controllable image editing

Reference 10

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Observation 80c6bdd1-d13d-4d40-9fed-4e95fbd6e9e1 · outbound

This paper cites Improved analysis for a proximal algorithm for sampling.

Subspace Langevin Monte Carlo Improved analysis for a proximal algorithm for sampling

Reference 11

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Observation db809801-5086-4e78-b45e-9ae7d7ada28c · outbound

This paper cites Log-concave sampling.

Subspace Langevin Monte Carlo Log-concave sampling

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:49.413280Z

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Observation b97a66b9-2b3b-4b90-9f01-0ad9c9b952d4 · outbound

This paper cites Exponential ergodicity of mirror-Langevin diffusions.

Subspace Langevin Monte Carlo Exponential ergodicity of mirror-Langevin diffusions

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:49.393714Z

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Observation 172a6fb2-420e-4ddf-9523-2b980e6338c2 · outbound

This paper cites Differential privacy dynamics of langevin diffusion and noisy gradient descent.

Subspace Langevin Monte Carlo Differential privacy dynamics of langevin diffusion and noisy gradient descent

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:49.374656Z

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Observation 04521418-7e0d-43fc-97c9-650f1277ed97 · outbound

This paper cites Gradient descent with low-rank objective functions.

Subspace Langevin Monte Carlo Gradient descent with low-rank objective functions

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:49.360710Z

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Observation 4603cb27-423f-445a-88a0-cc2e9507c583 · outbound

This paper cites Low-rank gradient descent.IEEE Open Journal of Control Systems, 2023.

Subspace Langevin Monte Carlo Low-rank gradient descent.IEEE Open Journal of Control Systems, 2023

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:49.335177Z

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Observation 968cde04-3d14-4a3b-a51b-982af99ada4e · outbound

This paper cites User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient.Stochastic Processes and their Applications, 129 (12):5278–5311, 2019.

Subspace Langevin Monte Carlo User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient.Stochastic Processes and their Applications, 129 (12):5278–5311, 2019

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:49.315181Z

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Observation dc1afdfb-9160-403f-b566-f51af97d54cb · outbound

This paper cites A sparse Johnson–Lindenstrauss transform.

Subspace Langevin Monte Carlo A sparse Johnson–Lindenstrauss transform

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:49.300147Z

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Observation 0ca7af8a-a575-4484-bc22-8940b55bae09 · outbound

This paper cites Langevin monte carlo: random coordinate descent and variance reduction.Journal of machine learning research, 22(205):1–51, 2021.

Subspace Langevin Monte Carlo Langevin monte carlo: random coordinate descent and variance reduction.Journal of machine learning research, 22(205):1–51, 2021

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:49.285233Z

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Observation 84ea24f5-e3ad-4de9-b071-35a1e6b74d30 · outbound

This paper cites Random coordinate Langevin Monte Carlo.

Subspace Langevin Monte Carlo Random coordinate Langevin Monte Carlo

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:49.267469Z

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Observation 123cc231-9319-408f-b63c-9561bf263489 · outbound

This paper cites Adaptive subgradient methods for online learning and stochastic optimization.Journal of machine learning research, 12(7), 2011.

Subspace Langevin Monte Carlo Adaptive subgradient methods for online learning and stochastic optimization.Journal of machine learning research, 12(7), 2011

Reference 21

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Observation bcbf14b8-eaca-43f4-85d4-b770b935c4f9 · outbound

This paper cites High-dimensional bayesian inference via the unadjusted langevin algorithm.Bernoulli, 25(4A):2854–2882, 2019.

Subspace Langevin Monte Carlo High-dimensional bayesian inference via the unadjusted langevin algorithm.Bernoulli, 25(4A):2854–2882, 2019

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:49.224172Z

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Observation 03ab85fa-5127-4b8f-907f-4922ec248e93 · outbound

This paper cites Analysis of Langevin Monte Carlo via convex optimization.

Subspace Langevin Monte Carlo Analysis of Langevin Monte Carlo via convex optimization

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:49.201664Z

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Observation 74faa652-0348-4b40-827f-ee2402e8c513 · outbound

This paper cites Sketchy: Memory-efficient adaptive regularization with frequent directions.Advances in Neural Information Processing Systems, 36, 2024.

Subspace Langevin Monte Carlo Sketchy: Memory-efficient adaptive regularization with frequent directions.Advances in Neural Information Processing Systems, 36, 2024

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:49.179775Z

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Observation b3a3fde2-e8d7-4e46-a381-721a2bdbe7f8 · outbound

This paper cites Convergence analysis of prediction markets via randomized subspace descent.Advances in Neural Information Processing Systems, 28, 2015.

Subspace Langevin Monte Carlo Convergence analysis of prediction markets via randomized subspace descent.Advances in Neural Information Processing Systems, 28, 2015

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:49.164778Z

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Observation da27c5a1-88ae-4992-8c01-c73e2d0b857e · outbound

This paper cites Measuring sample quality with kernels.

Subspace Langevin Monte Carlo Measuring sample quality with kernels

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:49.147307Z

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Observation 39dc2350-dddf-4aff-931e-1702f598049c · outbound

This paper cites Rsn: randomized subspace Newton.

Subspace Langevin Monte Carlo Rsn: randomized subspace Newton

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:49.127658Z

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Observation 7eac7f1e-406b-4016-b1f8-1c6a5a1d573c · outbound

This paper cites Randomized iterative methods for linear systems.

Subspace Langevin Monte Carlo Randomized iterative methods for linear systems

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T12:47:48.012264Z

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Observation 83395402-b65b-4688-82ad-ba9dfe4faaae · outbound

This paper cites Stochastic quasi-gradient methods: Variance reduction via jacobian sketching.Mathematical Programming, 188 (1):135–192, 2021.

Subspace Langevin Monte Carlo Stochastic quasi-gradient methods: Variance reduction via jacobian sketching.Mathematical Programming, 188 (1):135–192, 2021

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:49.097567Z

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Observation 60bb3cf2-2575-47c2-b465-b54469c7afa6 · outbound

This paper cites Stochastic Dual Ascent for Solving Linear Systems.

Subspace Langevin Monte Carlo Stochastic Dual Ascent for Solving Linear Systems

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-11T12:47:48.361599Z

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Observation 148cebe4-b818-4801-81e2-90c30d76cf82 · outbound

This paper cites Improving neural network training in low dimensional random bases.Advances in Neural Information Processing Systems, 33:12140–12150, 2020.

Subspace Langevin Monte Carlo Improving neural network training in low dimensional random bases.Advances in Neural Information Processing Systems, 33:12140–12150, 2020

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:49.077756Z

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Observation b5d57527-ef78-4fe1-9839-3f368f492015 · outbound

This paper cites Finding structure with randomness: Probabilistic algorithms for constructing approximate matrix decompositions.

Subspace Langevin Monte Carlo Finding structure with randomness: Probabilistic algorithms for constructing approximate matrix decompositions

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T12:47:48.031900Z

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Observation 91a4ef99-b684-4c5a-85e3-2f47d3fafc70 · outbound

This paper cites Sega: Variance reduction via gradient sketching.Advances in Neural Information Processing Systems, 31, 2018.

Subspace Langevin Monte Carlo Sega: Variance reduction via gradient sketching.Advances in Neural Information Processing Systems, 31, 2018

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:49.044908Z

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Observation c40f3ff2-42a9-41f9-a85a-b8cabc71a699 · outbound

This paper cites Stochastic subspace cubic Newton method.

Subspace Langevin Monte Carlo Stochastic subspace cubic Newton method

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:49.023421Z

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Observation 1271388f-79e6-4225-94e2-c5d6acaee13f · outbound

This paper cites Denoising diffusion probabilistic models.

Subspace Langevin Monte Carlo Denoising diffusion probabilistic models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T12:47:48.048501Z

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Observation af382f4c-2a3c-4a71-890e-58aac7acf207 · outbound

This paper cites Mirrored langevin dynamics.

Subspace Langevin Monte Carlo Mirrored langevin dynamics

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:48.980117Z

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Observation 1e2f5a00-bc58-46d0-818c-a4ff1fb15a5b · outbound

This paper cites Communication-efficient distributed sgd with sketching.

Subspace Langevin Monte Carlo Communication-efficient distributed sgd with sketching

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:48.957929Z

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Observation 49859dd0-2e35-4757-a6b4-513cdb4e8870 · outbound

This paper cites On the relation between the sharpest directions of dnn loss and the sgd step length.

Subspace Langevin Monte Carlo On the relation between the sharpest directions of dnn loss and the sgd step length

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:48.942397Z

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Observation 4f98377a-176b-4f15-b64e-f70cbd7b42e7 · outbound

This paper cites Subspace diffusion generative models.

Subspace Langevin Monte Carlo Subspace diffusion generative models

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:48.928727Z

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Observation 7fba6272-1782-4933-8171-daf27050ed46 · outbound

This paper cites Extensions of Lipschitz maps into Banach spaces.

Subspace Langevin Monte Carlo Extensions of Lipschitz maps into Banach spaces

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:48.910716Z

Source-reported events for the cited work

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Observation 3953ad54-7f37-4742-9771-e2a89f7f0399 · outbound

This paper cites The variational formulation of the fokker–planck equation.SIAM journal on mathematical analysis, 29(1):1–17, 1998.

Subspace Langevin Monte Carlo The variational formulation of the fokker–planck equation.SIAM journal on mathematical analysis, 29(1):1–17, 1998

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-11T12:47:48.077419Z

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Observation d5aaa1d2-8cb9-43c1-91b0-33af6a291c35 · outbound

This paper cites A stochastic subspace approach to gradient-free optimization in high dimensions.

Subspace Langevin Monte Carlo A stochastic subspace approach to gradient-free optimization in high dimensions

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:48.885712Z

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Observation 6e01b433-6813-4561-9094-0b39cd4a66d5 · outbound

This paper cites Measuring the intrinsic dimension of objective landscapes.

Subspace Langevin Monte Carlo Measuring the intrinsic dimension of objective landscapes

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T12:47:48.087419Z

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Observation 0ff4c4dc-783b-4212-b818-0e5ddb0bcdec · outbound

This paper cites Low dimensional trajectory hypothesis is true: DNNs can be trained in tiny subspaces.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(3):3411–3420, 2022.

Subspace Langevin Monte Carlo Low dimensional trajectory hypothesis is true: DNNs can be trained in tiny subspaces.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(3):3411–3420, 2022

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:48.859737Z

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Observation a8cfeba0-358d-4d64-b257-95b9e76c3c6a · outbound

This paper cites Memory-Efficient LLM Training with Online Subspace Descent.

Subspace Langevin Monte Carlo Memory-Efficient LLM Training with Online Subspace Descent

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T12:47:48.096950Z

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Observation 33fa1c7b-6f61-4dc0-a1be-4bb908969e5d · outbound

This paper cites Stein variational gradient descent: A general purpose Bayesian inference algorithm.

Subspace Langevin Monte Carlo Stein variational gradient descent: A general purpose Bayesian inference algorithm

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:48.844648Z

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Observation 25197ec3-9298-43a2-afc1-4bdfd1ecad48 · outbound

This paper cites Relatively smooth convex optimization by first-order methods, and applications.SIAM Journal on Optimization, 28(1):333–354, 2018.

Subspace Langevin Monte Carlo Relatively smooth convex optimization by first-order methods, and applications.SIAM Journal on Optimization, 28(1):333–354, 2018

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T12:47:48.106281Z

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Observation 5ccf4680-1478-4e01-8115-8755093c9d07 · outbound

This paper cites A complete recipe for stochastic gradient MCMC.

Subspace Langevin Monte Carlo A complete recipe for stochastic gradient MCMC

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:48.819389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9ce4135d-1625-42f5-b17f-8df9a427dac5 · outbound

This paper cites Sampling in unit time with kernel fisher-rao flow.

Subspace Langevin Monte Carlo Sampling in unit time with kernel fisher-rao flow

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:48.802307Z

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Observation 93121d04-91ba-4724-97e2-ed5fe3f599cb · outbound

This paper cites McMahan and Matthew Streeter.

Subspace Langevin Monte Carlo McMahan and Matthew Streeter

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:48.778842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6e2f2045-91b0-4e76-9f2a-37e2e29f57a0 · outbound

This paper cites Efficiency of coordinate descent methods on huge-scale optimization problems.

Subspace Langevin Monte Carlo Efficiency of coordinate descent methods on huge-scale optimization problems

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T12:47:48.124142Z

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Observation fc51b5c0-8511-4c9e-8135-96ae1bcd6e34 · outbound

This paper cites Random gradient-free minimization of convex functions.

Subspace Langevin Monte Carlo Random gradient-free minimization of convex functions

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-11T12:47:48.130316Z

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Observation 2c0503c0-fe07-4099-aa7a-91fdba5ed08b · outbound

This paper cites Lyapunov functions: An optimization theory perspective.

Subspace Langevin Monte Carlo Lyapunov functions: An optimization theory perspective

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:48.748684Z

Source-reported events for the cited work

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Observation 595b8926-531e-4d8e-aa7d-173ef3dc2b64 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Subspace Langevin Monte Carlo High-resolution image synthesis with latent diffusion models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-11T12:47:48.141422Z

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Observation bb1a4f64-f1d7-4270-a078-4cda9142ac7e · outbound

This paper cites Stochastic zeroth-order discretizations of Langevin diffusions for Bayesian inference.

Subspace Langevin Monte Carlo Stochastic zeroth-order discretizations of Langevin diffusions for Bayesian inference

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:48.724845Z

Source-reported events for the cited work

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Observation b56649c8-1647-4fab-bfd6-53473b8b12a5 · outbound

This paper cites Eigenvalues of the Hessian in Deep Learning: Singularity and Beyond.

Subspace Langevin Monte Carlo Eigenvalues of the Hessian in Deep Learning: Singularity and Beyond

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-11T12:47:48.149756Z

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Observation 3b9c5a5a-030a-4c6d-9ff6-755249ea3228 · outbound

This paper cites Empirical Analysis of the Hessian of Over-Parametrized Neural Networks.

Subspace Langevin Monte Carlo Empirical Analysis of the Hessian of Over-Parametrized Neural Networks

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-11T12:47:48.153955Z

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Unavailable: canonical work link unavailable.

Observation 3a7b617e-5a95-4082-a17a-19469151a165 · outbound

This paper cites {Euclidean, metric, and Wasserstein } gradient flows: an overview.

Subspace Langevin Monte Carlo {Euclidean, metric, and Wasserstein } gradient flows: an overview

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:48.707621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b78413e4-9b2d-4fbd-8916-6bf3dd3d6e13 · outbound

This paper cites Does SGD really happen in tiny subspaces?.

Subspace Langevin Monte Carlo Does SGD really happen in tiny subspaces?

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-11T12:47:48.161823Z

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Unavailable: canonical work link unavailable.

Observation fa5e5483-37d1-46b2-bd57-d5fd35abe9fe · outbound

This paper cites Score-based generative modeling through stochastic differential equations.

Subspace Langevin Monte Carlo Score-based generative modeling through stochastic differential equations

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-11T12:47:48.166250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f34beebf-4c94-42d1-8061-42c23638fdb0 · outbound

This paper cites Rmsprop: Divide the gradient by a running average of its recent magnitude.Coursera, 2012.

Subspace Langevin Monte Carlo Rmsprop: Divide the gradient by a running average of its recent magnitude.Coursera, 2012

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:48.676051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 10c164f4-274f-49dc-9142-8d4b28ec7330 · outbound

This paper cites Optimal preconditioning and Fisher adaptive Langevin sampling.

Subspace Langevin Monte Carlo Optimal preconditioning and Fisher adaptive Langevin sampling

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:48.659541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 543e9ab6-7975-47d2-986a-cb8940b0ff79 · outbound

This paper cites Improved analysis of the subsampled randomized Hadamard transform.

Subspace Langevin Monte Carlo Improved analysis of the subsampled randomized Hadamard transform

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:48.644400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1c476c60-59ff-4724-adc3-fdbdf812f1de · outbound

This paper cites Theoretical guarantees for sampling and inference in generative models with latent diffusions.

Subspace Langevin Monte Carlo Theoretical guarantees for sampling and inference in generative models with latent diffusions

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T12:47:48.182145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b714cc63-3ff3-465a-ac0b-ceb7788178f1 · outbound

This paper cites Score-basedgenerativemodelinginlatent space.

Subspace Langevin Monte Carlo Score-basedgenerativemodelinginlatent space

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:48.616248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0e0ef4d9-b249-4330-8c7c-515a20dcf7ea · outbound

This paper cites Optimal transport: old and new, volume 338.

Subspace Langevin Monte Carlo Optimal transport: old and new, volume 338

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:48.600970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d1af4eeb-4a9b-4665-a29c-cbdffeb7c603 · outbound

This paper cites Breaking the Curse of Dimensionality: Diffusion Models Efficiently Learn Low-Dimensional Distributions.

Subspace Langevin Monte Carlo Breaking the Curse of Dimensionality: Diffusion Models Efficiently Learn Low-Dimensional Distributions

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-11T12:47:48.197189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6789308d-cc93-4197-bf6b-a496c2dda913 · outbound

This paper cites Information Newton's flow: second-order optimization method in probability space.

Subspace Langevin Monte Carlo Information Newton's flow: second-order optimization method in probability space

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-11T12:47:48.201636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf6bada7-43a9-4f13-967f-73c5a8324662 · outbound

This paper cites Sampling as optimization in the space of measures: The Langevin dynamics as a composite optimization problem.

Subspace Langevin Monte Carlo Sampling as optimization in the space of measures: The Langevin dynamics as a composite optimization problem

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:48.576109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fcbeda8d-71e0-4d01-8a57-8de9c7760d0d · outbound

This paper cites Coordinate descent algorithms.Mathematical programming, 151(1): 3–34, 2015.

Subspace Langevin Monte Carlo Coordinate descent algorithms.Mathematical programming, 151(1): 3–34, 2015

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:48.561884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e10c696c-b746-4f93-a038-eec136a0a184 · outbound

This paper cites Scalablestochastic gradient Riemannian Langevin dynamics in non-diagonal metrics.

Subspace Langevin Monte Carlo Scalablestochastic gradient Riemannian Langevin dynamics in non-diagonal metrics

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:48.543170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f035b490-cc5b-4ee2-9383-cfdb4ea138b9 · outbound

This paper cites Scalable semidefinite programming.SIAM Journal on Mathematics of Data Science, 3 (1):171–200, 2021.

Subspace Langevin Monte Carlo Scalable semidefinite programming.SIAM Journal on Mathematics of Data Science, 3 (1):171–200, 2021

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:48.527947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 858e9c3e-81b8-428d-a3a0-9bc953796d19 · outbound

This paper cites Wasserstein control of mirror Langevin Monte Carlo.

Subspace Langevin Monte Carlo Wasserstein control of mirror Langevin Monte Carlo

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:48.514409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e85d2c33-e7ee-47ef-a9fd-ba225e0fa31e · outbound

This paper cites Galore: memory-efficient llm training by gradient low-rank projection.

Subspace Langevin Monte Carlo Galore: memory-efficient llm training by gradient low-rank projection

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:48.501152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3c8766a2-16fe-4334-99ed-1eb9786f4881 · outbound

This paper cites 25 Thus we can apply Grönwall’s lemma tof (Zs, Z′ s) to find f (Zt, Z′ t) ≤ exp(−2 Z t 0 mds)f (Z0, Z′ 0).

Subspace Langevin Monte Carlo 25 Thus we can apply Grönwall’s lemma tof (Zs, Z′ s) to find f (Zt, Z′ t) ≤ exp(−2 Z t 0 mds)f (Z0, Z′ 0)

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:47:48.483105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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