Tamed Stochastic Gradient Hamiltonian Monte Carlo | Paper Citation Record

Observation e39b7375-72a3-4936-b70d-88093c668b72 · outbound

This paper cites Nonasymptotic analysis of Stochastic Gradient Hamiltonian Monte Carlo under local conditions for nonconvex optimization.Journal of Machine Learning Research, 25(113):1–34, 2024.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Nonasymptotic analysis of Stochastic Gradient Hamiltonian Monte Carlo under local conditions for nonconvex optimization.Journal of Machine Learning Research, 25(113):1–34, 2024

Reference 1

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Observation ff231bf8-160c-4ebb-a93b-cad21487e50c · outbound

This paper cites Shifted composition IV: toward ballistic acceleration for log-concave sampling.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Shifted composition IV: toward ballistic acceleration for log-concave sampling

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T00:55:29.029242Z

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Observation 32a8ade4-2167-498e-9880-e8dc513bfcc3 · outbound

This paper cites Optimal inventory policy.Econometrica: Journal of the Econometric Society, pages 250–272, 1951.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Optimal inventory policy.Econometrica: Journal of the Econometric Society, pages 250–272, 1951

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T00:55:29.149450Z

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Observation d2f62bc8-4c39-4302-8b49-97a89a4ea3dc · outbound

This paper cites Computing VaR and CVaR using stochas- tic approximation and adaptive unconstrained importance sampling.Monte Carlo Methods and Applications, 15(3):173–210, 2009.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Computing VaR and CVaR using stochas- tic approximation and adaptive unconstrained importance sampling.Monte Carlo Methods and Applications, 15(3):173–210, 2009

Reference 4

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Observation 2344d73d-cec9-4d90-b2a5-78fcb994bbfe · outbound

This paper cites On stochastic gradient Langevin dynamics with dependent data streams in the logconcave case.Bernoulli, 27(1):1–33, 2021.

Tamed Stochastic Gradient Hamiltonian Monte Carlo On stochastic gradient Langevin dynamics with dependent data streams in the logconcave case.Bernoulli, 27(1):1–33, 2021

Reference 5

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Observation 4b4f0763-8824-40a0-80b8-f40802278d99 · outbound

This paper cites SIAM, 2017.

Tamed Stochastic Gradient Hamiltonian Monte Carlo SIAM, 2017

Reference 6

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Observation 5e7cca62-2be9-417c-8c4b-2dc5e70e233b · outbound

This paper cites Stochastic C-stability and B-consistency of explicit and implicit Euler-type schemes.Journal of Scientific Computing, 67(3):955–987, 2016.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Stochastic C-stability and B-consistency of explicit and implicit Euler-type schemes.Journal of Scientific Computing, 67(3):955–987, 2016

Reference 7

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Observation 767a01a8-28d5-4511-b08c-6e8ad7ccf821 · outbound

This paper cites Stochastic gradient Hamiltonian Monte Carlo for non-convex learning.Stochastic Processes and their Applications, 149:341–368, 2022.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Stochastic gradient Hamiltonian Monte Carlo for non-convex learning.Stochastic Processes and their Applications, 149:341–368, 2022

Reference 8

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Observation f4abb1e2-0337-429c-8e7e-b16a5bafadb7 · outbound

This paper cites On stochastic gradient Langevin dynamics with dependent data streams: The fully nonconvex case.SIAM Journal on Mathematics of Data Science, 3(3):959–986, 2021.

Tamed Stochastic Gradient Hamiltonian Monte Carlo On stochastic gradient Langevin dynamics with dependent data streams: The fully nonconvex case.SIAM Journal on Mathematics of Data Science, 3(3):959–986, 2021

Reference 9

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Observation 9063e607-9411-4b80-a530-897f129c42ae · outbound

This paper cites Stochastic gradient Hamiltonian Monte Carlo.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Stochastic gradient Hamiltonian Monte Carlo

Reference 10

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Observation 9ee4d064-a32c-498a-8782-9f5462149fdb · outbound

This paper cites Convergence of Langevin MCMC in KL-divergence.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Convergence of Langevin MCMC in KL-divergence

Reference 11

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Observation 5dbe3679-53cd-4350-aa59-deef948a2447 · outbound

This paper cites Sharp convergence rates for Langevin dynamics in the nonconvex setting.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Sharp convergence rates for Langevin dynamics in the nonconvex setting

Reference 12

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Observation 0a729658-15e0-4eb3-a2a8-8d9d77268c4b · outbound

This paper cites Underdamped Langevin MCMC: A non-asymptotic analysis.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Underdamped Langevin MCMC: A non-asymptotic analysis

Reference 13

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Observation d4d0aee2-73dd-46f3-96ae-8999ff3dbd8c · outbound

This paper cites Analysis of Langevin Monte Carlo from Poincare to log-Sobolev.Foundations of Computational Mathematics, 25(4):1345–1395, 2025.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Analysis of Langevin Monte Carlo from Poincare to log-Sobolev.Foundations of Computational Mathematics, 25(4):1345–1395, 2025

Reference 14

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Observation 7f69b2eb-6c58-48a6-97e5-3eec97e7ceb0 · outbound

This paper cites An explicit splitting SAV scheme for the kinetic Langevin dynamics.

Tamed Stochastic Gradient Hamiltonian Monte Carlo An explicit splitting SAV scheme for the kinetic Langevin dynamics

Reference 15

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Observation 572540fa-3fc7-4e4d-b5a6-ca0588e1a4e2 · outbound

This paper cites Further and stronger analogy between sampling and optimization: Langevin Monte Carlo and gradient descent.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Further and stronger analogy between sampling and optimization: Langevin Monte Carlo and gradient descent

Reference 16

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Observation 93b403a6-f28c-4569-866f-5b1d241a1faf · outbound

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Tamed Stochastic Gradient Hamiltonian Monte Carlo Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T00:55:30.034563Z

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Observation e483c322-a50e-4f10-aff2-e4714bab33ed · outbound

This paper cites Dalalyan and Lionel Riou-Durand.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Dalalyan and Lionel Riou-Durand

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T00:55:30.070684Z

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Observation 906fd666-e7ae-4279-9212-f0a1d96e502c · outbound

This paper cites Extreme M-quantiles as risk measures: FromL 1 toL p optimization.Bernoulli, 25(1):264–309, 2019.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Extreme M-quantiles as risk measures: FromL 1 toL p optimization.Bernoulli, 25(1):264–309, 2019

Reference 19

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Observation c429c2d5-9ba2-4eea-8b34-d036f3742523 · outbound

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

Tamed Stochastic Gradient Hamiltonian Monte Carlo Nonasymptotic convergence analysis for the unadjusted Langevin algorithm.The Annals of Applied Probability, 27(3):1551–1587, 2017

Reference 20

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Observation 0f1191f1-b81d-4d2f-b27c-f3022f9e6fdf · outbound

This paper cites High-dimensional Bayesian inference via the unadjusted Langevin algorithm.Bernoulli, 25(4A):pp.

Tamed Stochastic Gradient Hamiltonian Monte Carlo High-dimensional Bayesian inference via the unadjusted Langevin algorithm.Bernoulli, 25(4A):pp

Reference 21

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Observation 00adbc1e-24c3-4fd7-96c3-ac75dfabebf5 · outbound

This paper cites Efficient Bayesian computation by proximal Markov chain Monte Carlo: when Langevin meets Moreau.SIAM Journal on Imaging Sciences, 11 (1):473–506, 2018.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Efficient Bayesian computation by proximal Markov chain Monte Carlo: when Langevin meets Moreau.SIAM Journal on Imaging Sciences, 11 (1):473–506, 2018

Reference 22

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Observation fd1da706-778d-4c6c-afea-1495a9ed7a94 · outbound

This paper cites CASdatasets: Insurance datasets, 2026.

Tamed Stochastic Gradient Hamiltonian Monte Carlo CASdatasets: Insurance datasets, 2026

Reference 23

Resolution: verified exact; doi, observed 2026-08-02T00:58:21.971984Z

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Observation 879fdcab-6e1e-4bda-a1a9-992556df9747 · outbound

This paper cites Couplings and Quantitative Contraction Rates for Langevin Dynamics.The Annals of Probability, 47(4):1982–2010, 2019.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Couplings and Quantitative Contraction Rates for Langevin Dynamics.The Annals of Probability, 47(4):1982–2010, 2019

Reference 24

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Observation 7c59489b-5dc9-44c9-9b21-c37d6aa72b34 · outbound

This paper cites On the convergence of Langevin Monte Carlo: The interplay between tail growth and smoothness.

Tamed Stochastic Gradient Hamiltonian Monte Carlo On the convergence of Langevin Monte Carlo: The interplay between tail growth and smoothness

Reference 25

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Observation 91c5b33d-b78c-4e45-b251-afc3ab53e396 · outbound

This paper cites A computer simulation of charged particles in solution.

Tamed Stochastic Gradient Hamiltonian Monte Carlo A computer simulation of charged particles in solution

Reference 26

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Observation 53e11237-8fc5-41f9-a61b-187143287616 · outbound

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Tamed Stochastic Gradient Hamiltonian Monte Carlo Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T00:55:30.386295Z

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Observation 7fb92473-ab7e-4d48-85e3-2e709c5c07f5 · outbound

This paper cites Understanding the difficulty of training deep feedforward neural networks.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Understanding the difficulty of training deep feedforward neural networks

Reference 28

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Observation 33bb525b-d1b1-4850-8de7-0a5575826b48 · outbound

This paper cites Approximating the nonlinear newsvendor and single-item stochastic lot-sizing problems when data is given by an oracle.Operations Research, 60 (2):429–446, 2012.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Approximating the nonlinear newsvendor and single-item stochastic lot-sizing problems when data is given by an oracle.Operations Research, 60 (2):429–446, 2012

Reference 29

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Observation 204eb8f8-6673-437a-9696-f996959d31d3 · outbound

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Tamed Stochastic Gradient Hamiltonian Monte Carlo Unresolved cited work

Reference 30

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Observation 21a70ccc-cae4-495f-9e4d-02b3eb633aa1 · outbound

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Tamed Stochastic Gradient Hamiltonian Monte Carlo Unresolved cited work

Reference 31

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Observation 1035a7cb-257f-4caf-9c31-8b974072d536 · outbound

This paper cites Laplace’s method revisited: weak convergence of probability measures.The Annals of Probability, pages 1177–1182, 1980.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Laplace’s method revisited: weak convergence of probability measures.The Annals of Probability, pages 1177–1182, 1980

Reference 32

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Observation 6c5f66b3-5820-4bcb-b274-96228f04948e · outbound

This paper cites Kinetic Langevin MCMC sampling without gradient Lipschitz continuity-the strongly convex case.Journal of Complexity, 85:101873, 2024.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Kinetic Langevin MCMC sampling without gradient Lipschitz continuity-the strongly convex case.Journal of Complexity, 85:101873, 2024

Reference 33

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Observation 99449187-5c62-4864-bac9-a9f5fd7355b7 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Adam: A Method for Stochastic Optimization

Reference 34

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Observation 960f0586-92ea-4dfe-a438-3bd79b89ea22 · outbound

This paper cites The newsboy problem with price-dependent demand distribution.IIE transactions, 20(2):168–175, 1988.

Tamed Stochastic Gradient Hamiltonian Monte Carlo The newsboy problem with price-dependent demand distribution.IIE transactions, 20(2):168–175, 1988

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Observation c2850ef7-f3c2-4abe-bc87-5041e9693c00 · outbound

This paper cites Designing a quantity discount scheme for a newsvendor-type product with numerous heterogeneous retailers.European Journal of Operational Research, 180(2):585–600, 2007.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Designing a quantity discount scheme for a newsvendor-type product with numerous heterogeneous retailers.European Journal of Operational Research, 180(2):585–600, 2007

Reference 36

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Observation 823ab8ba-7c9c-48a7-9586-f7b335c9753d · outbound

This paper cites Springer, 2016.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Springer, 2016

Reference 37

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Observation 587a3068-fb79-47ff-9d58-8bd071a98a93 · outbound

This paper cites Non-asymptotic convergence analysis of the stochastic gradient Hamiltonian Monte Carlo algorithm with discontinuous stochastic gradient with applications to training of ReLU neural networks.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Non-asymptotic convergence analysis of the stochastic gradient Hamiltonian Monte Carlo algorithm with discontinuous stochastic gradient with applications to training of ReLU neural networks

Reference 38

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Observation 0b917ce6-cde6-4072-a75a-e3488d0b47fa · outbound

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Tamed Stochastic Gradient Hamiltonian Monte Carlo Unresolved cited work

Reference 39

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Observation 8d8e6fc7-52ae-4419-988c-024a8fbe0f90 · outbound

This paper cites Langevin dynamics based algorithm e-THεO POULA for stochastic optimization problems with discontinuous stochastic gradient.Mathematics of Operations Research, 50(3):2333–2374, 2025.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Langevin dynamics based algorithm e-THεO POULA for stochastic optimization problems with discontinuous stochastic gradient.Mathematics of Operations Research, 50(3):2333–2374, 2025

Reference 40

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Observation 2ac8159c-571f-462c-9463-fedac56e854b · outbound

This paper cites An improved analysis of stochastic gradient descent with momentum.Advances in Neural Information Processing Systems, 33:18261–18271, 2020.

Tamed Stochastic Gradient Hamiltonian Monte Carlo An improved analysis of stochastic gradient descent with momentum.Advances in Neural Information Processing Systems, 33:18261–18271, 2020

Reference 41

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Observation ae606f71-8dc8-4ff2-92b1-44338074779b · outbound

This paper cites Taming neural networks with TUSLA: Nonconvex learning via adaptive stochastic gradient Langevin algorithms.SIAM Journal on Mathematics of Data Science, 5(2):323–345, 2023.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Taming neural networks with TUSLA: Nonconvex learning via adaptive stochastic gradient Langevin algorithms.SIAM Journal on Mathematics of Data Science, 5(2):323–345, 2023

Reference 42

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Observation 82fc6ae9-95cc-4ec8-80b8-165923b9ea54 · outbound

This paper cites Contractive kinetic Langevin samplers beyond global Lipschitz continuity.arXiv preprint arXiv:2509.12031, 2025.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Contractive kinetic Langevin samplers beyond global Lipschitz continuity.arXiv preprint arXiv:2509.12031, 2025

Reference 43

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Observation 0922952d-1b2d-495c-af2b-c08315e47459 · outbound

This paper cites Taming under isoperimetry.Stochastic Processes and their Applications, 188:104684, 2025.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Taming under isoperimetry.Stochastic Processes and their Applications, 188:104684, 2025

Reference 44

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Observation 0b1370e3-b85f-4e97-a374-a95cc3a449f5 · outbound

This paper cites Is there an analog of Nesterov acceleration for gradient-based MCMC?Bernoulli, 27(3): 1942–1992, 2021.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Is there an analog of Nesterov acceleration for gradient-based MCMC?Bernoulli, 27(3): 1942–1992, 2021

Reference 45

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Observation 00a860ba-a123-4572-9017-6590eb0cabd0 · outbound

This paper cites Estimating the tails of loss severity distributions using extreme value theory.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Estimating the tails of loss severity distributions using extreme value theory

Reference 46

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Observation 04df58e4-bc0c-4bb6-910a-99fdb6c4fd9c · outbound

This paper cites Improved bounds for discretization of Langevin diffusions: Near-optimal rates without convexity.Bernoulli, 28(3): 1577–1601, 2022.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Improved bounds for discretization of Langevin diffusions: Near-optimal rates without convexity.Bernoulli, 28(3): 1577–1601, 2022

Reference 47

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Observation 6ed34e37-09a6-421c-ac7f-74322eb974e2 · outbound

This paper cites Robust SGLD algorithm for solving non-convex distributionally robust optimisation problems.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Robust SGLD algorithm for solving non-convex distributionally robust optimisation problems

Reference 48

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Observation 83af5e64-8686-455c-b950-c6c18eb60ad7 · outbound

This paper cites Non-asymptotic convergence bounds for modified tamed unadjusted Langevin algorithm in non-convex setting.Journal of Mathematical Analysis and Applications, 543(1):128892, 2025.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Non-asymptotic convergence bounds for modified tamed unadjusted Langevin algorithm in non-convex setting.Journal of Mathematical Analysis and Applications, 543(1):128892, 2025

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-02T00:55:30.519285Z

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Observation 97c6e2a8-a83b-4bdd-815f-2d52d169841c · outbound

This paper cites Correlation functions and computer simulations.Nuclear Physics B, 180(3):378–384, 1981.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Correlation functions and computer simulations.Nuclear Physics B, 180(3):378–384, 1981

Reference 50

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Observation ad49b7be-5a11-430a-a61d-ebf97229ec56 · outbound

This paper cites Stochastic processes and applications.Texts in applied mathematics, 60, 2014.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Stochastic processes and applications.Texts in applied mathematics, 60, 2014

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Resolution: unresolved; no resolver link, observed 2026-08-02T00:55:30.527128Z

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Observation fe53377f-7f48-4fcc-88c8-ed94e6591a52 · outbound

This paper cites Pricing and the newsvendor problem: A review with extensions.Operations research, 47(2):183–194, 1999.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Pricing and the newsvendor problem: A review with extensions.Operations research, 47(2):183–194, 1999

Reference 52

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Observation da5be1a9-a54e-4975-8c11-10dceb9850e9 · outbound

This paper cites Proximal mappings and Moreau envelopes of single-variable convex piecewise cubic functions and multivariable gauge functions.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Proximal mappings and Moreau envelopes of single-variable convex piecewise cubic functions and multivariable gauge functions

Reference 53

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Observation e6f33d86-880b-49d1-9942-3c8d1d478f3c · outbound

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

Tamed Stochastic Gradient Hamiltonian Monte Carlo Non-convex learning via stochastic gradient Langevin dynamics: a nonasymptotic analysis

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Observation 4eea2864-fcbf-4efd-b37f-78abecdfdc8a · outbound

This paper cites Springer, 1998.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Springer, 1998

Reference 55

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Observation 959d6ef1-dd00-4fbc-9bf4-271d30183d48 · outbound

This paper cites A note on tamed Euler approximations.Electronic Communications in Probability, 18:1–10, 2013.

Tamed Stochastic Gradient Hamiltonian Monte Carlo A note on tamed Euler approximations.Electronic Communications in Probability, 18:1–10, 2013

Reference 56

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Observation e8f57dbd-b961-49d7-81ea-959b1297572c · outbound

This paper cites A fully data-driven approach to minimizing CVaR for portfolio of assets via SGLD with discontinuous updating.

Tamed Stochastic Gradient Hamiltonian Monte Carlo A fully data-driven approach to minimizing CVaR for portfolio of assets via SGLD with discontinuous updating

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-02T00:55:30.551651Z

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Observation 6ea11a6f-c57b-4f43-a13d-dd60be60b8c0 · outbound

This paper cites Rapid convergence of the unadjusted Langevin algorithm: Isoperimetry suffices.Advances in neural information processing systems, 32, 2019.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Rapid convergence of the unadjusted Langevin algorithm: Isoperimetry suffices.Advances in neural information processing systems, 32, 2019

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-02T00:55:30.556181Z

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Observation edeb34b2-5500-4cb8-9736-12ae88bb6981 · outbound

This paper cites Springer, 2009.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Springer, 2009

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-02T00:55:30.560567Z

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Observation 7407daee-ce53-4ad8-9ee5-2804f9837d9c · outbound

This paper cites an unresolved cited work.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Unresolved cited work

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-02T00:55:30.564951Z

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Observation b7a2a48f-b674-41fd-9f26-888846358b4d · outbound

This paper cites Bayesian learning via stochastic gradient Langevin dynamics.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Bayesian learning via stochastic gradient Langevin dynamics

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-02T00:55:30.569200Z

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Observation 28ea632f-8d2b-4d62-9a5c-cd5f1095a15f · outbound

This paper cites Global convergence of Langevin dynamics based algorithms for nonconvex optimization.Advances in Neural Information Processing Systems, 31, 2018.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Global convergence of Langevin dynamics based algorithms for nonconvex optimization.Advances in Neural Information Processing Systems, 31, 2018

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-02T00:55:30.573180Z

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Observation 1e3dcebd-625b-4f07-825f-c1be229c88a5 · outbound

This paper cites Modeling of strength of high-performance concrete using artificial neural networks.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Modeling of strength of high-performance concrete using artificial neural networks

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-02T00:55:30.577223Z

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Observation 2d5507ef-215c-4ed2-9b94-e4cdf3bf1209 · outbound

This paper cites Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-02T00:55:30.581454Z

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Observation c34f7c54-c953-4569-a32e-f0235639b29d · outbound

This paper cites Dimension-Independent Convergence of Underdamped Langevin Monte Carlo in KL Divergence.arXiv preprint arXiv:2603.02429, 2026.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Dimension-Independent Convergence of Underdamped Langevin Monte Carlo in KL Divergence.arXiv preprint arXiv:2603.02429, 2026

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-02T00:55:30.585492Z

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Observation 030189e7-dc79-4894-8144-27d095601216 · outbound

This paper cites Im- proved discretization analysis for underdamped Langevin Monte Carlo.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Im- proved discretization analysis for underdamped Langevin Monte Carlo

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-02T00:55:30.589588Z

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Observation 65e1d540-2327-43d0-b4dd-fb6b7dccbed7 · outbound

This paper cites Nonasymptotic esti- mates for stochastic gradient Langevin dynamics under local conditions in nonconvex optimization.

Tamed Stochastic Gradient Hamiltonian Monte Carlo Nonasymptotic esti- mates for stochastic gradient Langevin dynamics under local conditions in nonconvex optimization

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-02T00:55:30.593458Z

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