Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing | Paper Citation Record

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Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing editor =

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This paper cites Importance Sampling: Intrinsic Dimension and Computational Cost.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Importance Sampling: Intrinsic Dimension and Computational Cost

Reference 2

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Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Unresolved cited work

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This paper cites Understanding Hallucinations in Diffusion Models through Mode Interpolation.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Understanding Hallucinations in Diffusion Models through Mode Interpolation

Reference 4

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This paper cites On the Convergence of SGD with Biased Gradients.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing On the Convergence of SGD with Biased Gradients

Reference 5

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This paper cites Is Conditional Generative Modeling all you need for Decision-Making?.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Is Conditional Generative Modeling all you need for Decision-Making?

Reference 6

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This paper cites Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Iterated Denoising Energy Matching for Sampling from Boltzmann Densities

Reference 7

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This paper cites Theoretical.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Theoretical

Reference 8

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This paper cites and Georg, Kurt , editor =.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing and Georg, Kurt , editor =

Reference 9

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This paper cites and Georg, Kurt , editor =.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing and Georg, Kurt , editor =

Reference 10

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This paper cites Real-Time Whole-Body Control of Legged Robots with Model-Predictive Path Integral Control.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Real-Time Whole-Body Control of Legged Robots with Model-Predictive Path Integral Control

Reference 11

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This paper cites Homotopy Analysis for Tensor PCA.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Homotopy Analysis for Tensor PCA

Reference 12

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This paper cites Curriculum-Based Reinforcement Learning for Quadrupedal Jumping: A Reference-free Design.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Curriculum-Based Reinforcement Learning for Quadrupedal Jumping: A Reference-free Design

Reference 13

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This paper cites Structured Denoising Diffusion Models in Discrete State-Spaces.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Structured Denoising Diffusion Models in Discrete State-Spaces

Reference 14

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This paper cites 29th Annual Conference on Learning Theory , pages =.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing 29th Annual Conference on Learning Theory , pages =

Reference 15

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Observation e21bfb7f-0829-4f1c-928f-46f0add34eae · outbound

This paper cites Bakry, I.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Bakry, I

Reference 16

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Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Unresolved cited work

Reference 17

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This paper cites BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization

Reference 18

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This paper cites Zeroth-Order (.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Zeroth-Order (

Reference 19

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This paper cites Zeroth-order Nonconvex Stochastic Optimization: Handling Constraints, High-Dimensionality and Saddle-Points.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Zeroth-order Nonconvex Stochastic Optimization: Handling Constraints, High-Dimensionality and Saddle-Points

Reference 20

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This paper cites A Score-based Nonlinear Filter for Data Assimilation.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing A Score-based Nonlinear Filter for Data Assimilation

Reference 21

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This paper cites Escaping the Local Minima via Simulated Annealing: Optimization of Approximately Convex Functions.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Escaping the Local Minima via Simulated Annealing: Optimization of Approximately Convex Functions

Reference 22

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This paper cites Foundations and Trends in Machine Learning 2, 1–127.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Foundations and Trends in Machine Learning 2, 1–127

Reference 23

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This paper cites Combining Homotopy Methods and Numerical Optimal Control to Solve Motion Planning Problems.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Combining Homotopy Methods and Numerical Optimal Control to Solve Motion Planning Problems

Reference 24

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This paper cites An optimal control perspective on diffusion-based generative modeling.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing An optimal control perspective on diffusion-based generative modeling

Reference 25

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This paper cites B., 1992, @doi [Statistical Science] 10.1214/ss/1177011136 , https://ui.adsabs.harvard.edu/abs/1992StaSc...7..457G 7, 457.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing B., 1992, @doi [Statistical Science] 10.1214/ss/1177011136 , https://ui.adsabs.harvard.edu/abs/1992StaSc...7..457G 7, 457

Reference 26

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Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing year =

Reference 27

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Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing 1987 , publisher =

Reference 28

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This paper cites Provable Guarantees for Generative Behavior Cloning: Bridging Low-Level Stability and High-Level Behavior.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Provable Guarantees for Generative Behavior Cloning: Bridging Low-Level Stability and High-Level Behavior

Reference 29

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Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing and Ledoux, M

Reference 30

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This paper cites and Kroese, Dirk P.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing and Kroese, Dirk P

Reference 31

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Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing 2024 , month = sep, urldate =

Reference 32

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Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Unresolved cited work

Reference 33

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This paper cites Privacy-preserving and uncertainty-aware federated trajectory prediction for connected autonomous vehicles.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Privacy-preserving and uncertainty-aware federated trajectory prediction for connected autonomous vehicles

Reference 34

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Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing 2011 , month = nov, pages =

Reference 35

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This paper cites Tutorial on Diffusion Models for Imaging and Vision.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Tutorial on Diffusion Models for Imaging and Vision

Reference 36

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Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing The sample size required in importance sampling

Reference 37

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Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Entropy-SGD: Biasing Gradient Descent Into Wide Valleys

Reference 38

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Observation 7a5cff21-9b40-4d14-b982-4fcb4a51b80e · outbound

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Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing A Practical Diffusion Path for Sampling

Reference 39

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Observation c7c44256-edde-473a-91f1-c2e2bf6a1340 · outbound

This paper cites Boosting Continuous Control with Consistency Policy.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Boosting Continuous Control with Consistency Policy

Reference 40

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This paper cites Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion

Reference 41

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This paper cites Don't Start from Scratch: Behavioral Refinement via Interpolant-based Policy Diffusion.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Don't Start from Scratch: Behavioral Refinement via Interpolant-based Policy Diffusion

Reference 42

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This paper cites 10610948.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing 10610948

Reference 43

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

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Underdamped Langevin MCMC: A non-asymptotic analysis

Reference 44

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

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Improved analysis for a proximal algorithm for sampling

Reference 45

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This paper cites Learning Torque Control for Quadrupedal Locomotion.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Learning Torque Control for Quadrupedal Locomotion

Reference 46

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This paper cites WaveGrad: Estimating Gradients for Waveform Generation.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing WaveGrad: Estimating Gradients for Waveform Generation

Reference 47

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This paper cites Diffusion for.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Diffusion for

Reference 48

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This paper cites Diffusion Policy: Visuomotor Policy Learning via Action Diffusion.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Diffusion Policy: Visuomotor Policy Learning via Action Diffusion

Reference 49

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This paper cites Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models

Reference 50

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Observation e438c646-8692-4d7b-95bd-9468e09c38ea · outbound

This paper cites 1993 , month = oct, journal =.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing 1993 , month = oct, journal =

Reference 51

Resolution: verified exact; doi, observed 2026-05-20T20:18:59.548704Z

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

Observation 9c791981-0d54-412e-8f8d-f0e74ddda35d · outbound

This paper cites The cross-entropy method for power system combinatorial optimization problems , year=.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing The cross-entropy method for power system combinatorial optimization problems , year=

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:23:43.809062Z

Source-reported events for the cited work

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

Observation 32a89ce1-63d2-4f48-9903-01eef2f71f60 · outbound

This paper cites MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-06-23T02:11:55.913341Z

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

Observation 85c903fc-4555-4f17-82d4-8f64285a751c · outbound

This paper cites Identifying and Attacking the Saddle Point Problem in High-Dimensional Non-Convex Optimization , booktitle =.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Identifying and Attacking the Saddle Point Problem in High-Dimensional Non-Convex Optimization , booktitle =

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:23:43.813214Z

Source-reported events for the cited work

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

Observation 7406a8b6-b794-4230-8688-a4bebba7d91c · outbound

This paper cites and Mannor, Shie and Rubinstein, Reuven Y.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing and Mannor, Shie and Rubinstein, Reuven Y

Reference 55

Resolution: verified exact; doi, observed 2026-05-20T20:18:59.434073Z

Source-reported events for the cited work

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

Observation b7d6bbb9-936b-4ef0-902c-8c0908880f61 · outbound

This paper cites Diffusion Models Beat GANs on Image Synthesis.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Diffusion Models Beat GANs on Image Synthesis

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-05-20T20:18:59.596809Z

Source-reported events for the cited work

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

Observation f28d22ba-0d65-4a92-9b03-a240a67cf114 · outbound

This paper cites Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:18:59.809137Z

Source-reported events for the cited work

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

Observation 30325fc2-78e8-4f45-aee6-3cab26d9744c · outbound

This paper cites an unresolved cited work.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Unresolved cited work

Reference 58

Resolution: verified exact; doi, observed 2026-05-20T20:18:59.420780Z

Source-reported events for the cited work

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

Observation 5418add3-2020-4635-8e03-31d3bc613423 · outbound

This paper cites year =.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing year =

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:23:43.814800Z

Source-reported events for the cited work

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

Observation 4633cd63-9756-472c-8b13-bb4141fefedf · outbound

This paper cites Optimal rates for zero-order convex optimization: the power of two function evaluations.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Optimal rates for zero-order convex optimization: the power of two function evaluations

Reference 60

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T20:18:59.439477Z

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

Observation dd82d569-102a-4117-a266-9d5aacc4b6a7 · outbound

This paper cites Compositional Visual Generation and Inference with Energy Based Models.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Compositional Visual Generation and Inference with Energy Based Models

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:18:59.491477Z

Source-reported events for the cited work

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

Observation 4262e241-6fbe-4e0b-8353-5edb9fa38a0d · outbound

This paper cites 2005 , month =.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing 2005 , month =

Reference 62

Resolution: verified exact; doi, observed 2026-05-20T20:18:59.345263Z

Source-reported events for the cited work

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

Observation a6a51372-1fda-472b-a7e3-5493acf34cfe · outbound

This paper cites Analysis of.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Analysis of

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:23:43.839737Z

Source-reported events for the cited work

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

Observation b10d072a-c23e-40be-9404-3f8c580539d4 · outbound

This paper cites and Todorov, E.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing and Todorov, E

Reference 64

Resolution: verified exact; doi, observed 2026-05-20T20:18:59.267280Z

Source-reported events for the cited work

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

Observation 424b09ed-06bf-467d-ae25-c3fac7df2c80 · outbound

This paper cites doi:10.1137/S1052623493254698 , urldate =.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing doi:10.1137/S1052623493254698 , urldate =

Reference 65

Resolution: verified exact; doi, observed 2026-05-20T20:18:59.516723Z

Source-reported events for the cited work

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

Observation d5ff17b2-56a9-43f2-afa0-398cf5766906 · outbound

This paper cites and Hosseinzadeh, Rasa , year =.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing and Hosseinzadeh, Rasa , year =

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:23:43.855200Z

Source-reported events for the cited work

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

Observation 96f926ab-f0d0-4c6a-87e0-5a751310b113 · outbound

This paper cites Scalable.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Scalable

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:23:43.860340Z

Source-reported events for the cited work

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

Observation 01fa9dee-e1fc-4629-ad95-f27de721f2a8 · outbound

This paper cites year =.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing year =

Reference 68

Resolution: verified exact; doi, observed 2026-05-20T20:18:59.465086Z

Source-reported events for the cited work

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

Observation baef7f52-9e0e-4857-a2c8-09eba15a3c4a · outbound

This paper cites A Proof of the.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing A Proof of the

Reference 69

Resolution: verified exact; doi, observed 2026-05-20T20:18:59.339884Z

Source-reported events for the cited work

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

Observation 8af85270-fb52-4d0e-a7a0-b3f320d25718 · outbound

This paper cites Online convex optimization in the bandit setting: gradient descent without a gradient.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Online convex optimization in the bandit setting: gradient descent without a gradient

Reference 70

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T20:18:59.791408Z

Source-reported events for the cited work

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

Observation 068378a8-cb47-4b78-9f1c-4c79d4128390 · outbound

This paper cites Implicit Behavioral Cloning.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Implicit Behavioral Cloning

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:18:59.317878Z

Source-reported events for the cited work

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

Observation 4fb47d04-a40e-42d9-93de-5de703a719ab · outbound

This paper cites A Tutorial on Bayesian Optimization.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing A Tutorial on Bayesian Optimization

Reference 72

Resolution: verified exact; local_arxiv, observed 2026-05-20T20:18:59.788516Z

Source-reported events for the cited work

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

Observation ca7c10fa-6e80-4ccb-b7a8-b3eadf9b6b0b · outbound

This paper cites Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation

Reference 73

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T20:18:59.383092Z

Source-reported events for the cited work

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

Observation c3af65f4-c986-4f16-b450-18c694f1742b · outbound

This paper cites and Mizuno, Shinji , editor =.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing and Mizuno, Shinji , editor =

Reference 74

Resolution: verified exact; doi, observed 2026-05-20T20:18:59.607366Z

Source-reported events for the cited work

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

Observation 307e16bd-ffea-4982-9a20-66975356e262 · outbound

This paper cites an unresolved cited work.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Unresolved cited work

Reference 75

Resolution: unresolved; raw_fallback, observed 2026-05-20T20:23:43.862174Z

Source-reported events for the cited work

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

Observation 0da32865-5f24-40d6-8e77-17f3d7538acb · outbound

This paper cites an unresolved cited work.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Unresolved cited work

Reference 76

Resolution: unresolved; raw_fallback, observed 2026-05-20T20:23:43.876678Z

Source-reported events for the cited work

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

Observation 157262fa-4113-4b3a-9af4-f595dccb445b · outbound

This paper cites Minimizing Energy Consumption Leads to the Emergence of Gaits in Legged Robots.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Minimizing Energy Consumption Leads to the Emergence of Gaits in Legged Robots

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:18:59.605342Z

Source-reported events for the cited work

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

Observation 8505adb3-fcf7-4f3e-850f-45a9d4b88a6d · outbound

This paper cites Transferring.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Transferring

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:23:43.882128Z

Source-reported events for the cited work

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

Observation d67b8847-d8a5-4854-a844-ab4a235258b1 · outbound

This paper cites and Mitter, Sanjoy K.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing and Mitter, Sanjoy K

Reference 79

Resolution: verified exact; doi, observed 2026-05-20T20:18:59.627342Z

Source-reported events for the cited work

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

Observation 868e08dd-2ed2-4a9b-9ce7-3a759f555115 · outbound

This paper cites Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo

Reference 80

Resolution: verified exact; local_arxiv, observed 2026-05-20T20:18:59.970644Z

Source-reported events for the cited work

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

Observation 4b1672e1-6c73-4f8d-8949-763e9cc2ed5f · outbound

This paper cites Learning Actionable Representations with Goal-Conditioned Policies.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Learning Actionable Representations with Goal-Conditioned Policies

Reference 81

Resolution: verified exact; local_arxiv, observed 2026-05-20T20:18:59.941887Z

Source-reported events for the cited work

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

Observation e30f1f27-5a16-4ddc-8523-64d62427a3ac · outbound

This paper cites Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:18:59.459411Z

Source-reported events for the cited work

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

Observation 835ddea3-94ad-4f98-8438-6be43ff3faff · outbound

This paper cites Learning with.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Learning with

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:23:43.831561Z

Source-reported events for the cited work

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

Observation 0529029c-6a2d-4f58-8a37-69a9919eb9eb · outbound

This paper cites Towards Tight Convex Relaxations for Contact-Rich Manipulation.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Towards Tight Convex Relaxations for Contact-Rich Manipulation

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:18:59.443248Z

Source-reported events for the cited work

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

Observation 0147bdc8-731a-41df-93a9-72c16933b9b9 · outbound

This paper cites Perceptive Locomotion through Nonlinear Model Predictive Control.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Perceptive Locomotion through Nonlinear Model Predictive Control

Reference 85

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:18:59.885745Z

Source-reported events for the cited work

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

Observation 46813673-628c-483b-936e-e7175dfe7643 · outbound

This paper cites and Han, Xiao-liang , editor =.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing and Han, Xiao-liang , editor =

Reference 86

Resolution: verified exact; doi, observed 2026-05-20T20:18:59.586046Z

Source-reported events for the cited work

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

Observation 1086c9b6-a63c-4f69-acdc-0c10e41bc37a · outbound

This paper cites International Conference on Machine Learning , author =.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing International Conference on Machine Learning , author =

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:23:43.826940Z

Source-reported events for the cited work

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

Observation 0c0bf560-b014-48ba-8b9e-a6b547c1e7d1 · outbound

This paper cites The CMA Evolution Strategy: A Tutorial.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing The CMA Evolution Strategy: A Tutorial

Reference 88

Resolution: verified exact; local_arxiv, observed 2026-05-20T20:18:59.899087Z

Source-reported events for the cited work

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

Observation 41efb5c0-fae6-475c-804d-c20031735057 · outbound

This paper cites Hansen, S.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Hansen, S

Reference 89

Resolution: verified exact; doi, observed 2026-05-20T20:18:59.258125Z

Source-reported events for the cited work

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

Observation a55d7b15-cc6a-46fd-8592-e9e2ffa56ea1 · outbound

This paper cites 2012 , month = may, journal =.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing 2012 , month = may, journal =

Reference 90

Resolution: verified exact; doi, observed 2026-05-20T20:18:59.470035Z

Source-reported events for the cited work

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

Observation a9850cb5-5743-4328-9538-6d3d610b6eb1 · outbound

This paper cites Monte Carlo sampling methods using Markov chains and their applications.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Monte Carlo sampling methods using Markov chains and their applications

Reference 91

Resolution: verified exact; doi, observed 2026-05-20T20:18:59.271920Z

Source-reported events for the cited work

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

Observation e917a3e0-01ba-4eee-ace9-532c898ca3c9 · outbound

This paper cites On Graduated Optimization for Stochastic Non-Convex Problems.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing On Graduated Optimization for Stochastic Non-Convex Problems

Reference 92

Resolution: verified exact; local_arxiv, observed 2026-05-20T20:18:59.785620Z

Source-reported events for the cited work

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

Observation 9af73477-719b-4404-a04f-fffb89ce80cb · outbound

This paper cites an unresolved cited work.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Unresolved cited work

Reference 93

Resolution: unresolved; raw_fallback, observed 2026-05-20T20:23:43.828415Z

Source-reported events for the cited work

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

Observation 05bc5935-a076-4532-8645-f698a5e06bb4 · outbound

This paper cites Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:18:59.502930Z

Source-reported events for the cited work

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

Observation ce8e4cd0-f676-4694-902a-1ead5fb50ef6 · outbound

This paper cites and Deligiannidis, George and Doucet, Arnaud , year =.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing and Deligiannidis, George and Doucet, Arnaud , year =

Reference 95

Resolution: verified exact; doi, observed 2026-05-20T20:18:59.393701Z

Source-reported events for the cited work

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

Observation f0090fba-8c78-4231-8f93-c291b061ee89 · outbound

This paper cites Out-of-Distribution Detection with a Single Unconditional Diffusion Model.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Out-of-Distribution Detection with a Single Unconditional Diffusion Model

Reference 96

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:18:59.409265Z

Source-reported events for the cited work

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

Observation eebdef59-49ec-48c6-ae10-ced4bc40f5ef · outbound

This paper cites an unresolved cited work.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Unresolved cited work

Reference 97

Resolution: unresolved; raw_fallback, observed 2026-05-20T20:23:43.825222Z

Source-reported events for the cited work

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

Observation 6255869e-4a17-46c7-ac5e-56cc5ff5d22c · outbound

This paper cites Advanced Robotics24, 719–737 (2010) https://doi.org/10.1163/016918610X493552 21.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Advanced Robotics24, 719–737 (2010) https://doi.org/10.1163/016918610X493552 21

Reference 98

Resolution: verified exact; doi, observed 2026-05-20T20:18:59.514659Z

Source-reported events for the cited work

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

Observation bf39f724-6d7f-4587-bc0a-18628a0b7420 · outbound

This paper cites Proceedings of the 34th.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Proceedings of the 34th

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:23:43.829915Z

Source-reported events for the cited work

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

Observation 60105b0f-ba88-4a65-8fee-90c4cc1eab8b · outbound

This paper cites Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion.

Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion

Reference 100

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:18:59.939086Z

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

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