Statistical Analysis of Markovian Generative Modeling
Fuente:
arXiv
Saved in:
| Main Authors: | Aamari, Eddie, Stéphanovitch, Arthur |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Generalization bounds for score-based generative models: a synthetic proof
by: Stéphanovitch, Arthur, et al.
Published: (2025)
by: Stéphanovitch, Arthur, et al.
Published: (2025)
Wasserstein GANs are Minimax Optimal Distribution Estimators
by: Stéphanovitch, Arthur, et al.
Published: (2023)
by: Stéphanovitch, Arthur, et al.
Published: (2023)
Generative model for optimal density estimation on unknown manifold
by: Stéphanovitch, Arthur
Published: (2025)
by: Stéphanovitch, Arthur
Published: (2025)
Integral Probability Metrics on submanifolds: interpolation inequalities and optimal inference
by: Stéphanovitch, Arthur
Published: (2024)
by: Stéphanovitch, Arthur
Published: (2024)
Regularity of the score function in generative models
by: Stéphanovitch, Arthur
Published: (2025)
by: Stéphanovitch, Arthur
Published: (2025)
Lipschitz regularity in Flow Matching and Diffusion Models: sharp sampling rates and functional inequalities
by: Stéphanovitch, Arthur
Published: (2026)
by: Stéphanovitch, Arthur
Published: (2026)
The Coreness and H-Index of Random Geometric Graphs
by: Aamari, Eddie, et al.
Published: (2021)
by: Aamari, Eddie, et al.
Published: (2021)
A theory of stratification learning
by: Aamari, Eddie, et al.
Published: (2024)
by: Aamari, Eddie, et al.
Published: (2024)
Moment-Based Adjustments of Statistical Inference in High-Dimensional Generalized Linear Models
by: Sawaya, Kazuma, et al.
Published: (2023)
by: Sawaya, Kazuma, et al.
Published: (2023)
Markovian Continuity of the MMSE
by: Domanovitz, Elad, et al.
Published: (2025)
by: Domanovitz, Elad, et al.
Published: (2025)
Gold standard process Markovian poisoning: a semiparametric approach
by: Lacour, Claire, et al.
Published: (2026)
by: Lacour, Claire, et al.
Published: (2026)
Statistical Analysis of Data Repeatability Measures
by: Wang, Zeyi, et al.
Published: (2020)
by: Wang, Zeyi, et al.
Published: (2020)
Non-asymptotic Properties of Generalized Mondrian Forests in Statistical Learning
by: Zhan, Haoran, et al.
Published: (2024)
by: Zhan, Haoran, et al.
Published: (2024)
Extreme Value Analysis based on Blockwise Top-Two Order Statistics
by: Bücher, Axel, et al.
Published: (2025)
by: Bücher, Axel, et al.
Published: (2025)
Spectral Analysis of Word Statistics
by: Even-Zohar, Chaim, et al.
Published: (2020)
by: Even-Zohar, Chaim, et al.
Published: (2020)
Conformal Predictions under Markovian Data
by: Zheng, Frédéric, et al.
Published: (2024)
by: Zheng, Frédéric, et al.
Published: (2024)
Asymptotic Analysis of Statistical Estimators related to MultiGraphex Processes under Misspecification
by: Naulet, Zacharie, et al.
Published: (2021)
by: Naulet, Zacharie, et al.
Published: (2021)
On the Statistical Capacity of Deep Generative Models
by: Tam, Edric, et al.
Published: (2025)
by: Tam, Edric, et al.
Published: (2025)
Canonical Representations of Markovian Structural Causal Models: A Framework for Counterfactual Reasoning
by: de Lara, Lucas
Published: (2025)
by: de Lara, Lucas
Published: (2025)
Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution
by: Vardanyan, Elen, et al.
Published: (2023)
by: Vardanyan, Elen, et al.
Published: (2023)
An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization
by: Chen, Minshuo, et al.
Published: (2024)
by: Chen, Minshuo, et al.
Published: (2024)
Einstein from Noise: Statistical Analysis
by: Balanov, Amnon, et al.
Published: (2024)
by: Balanov, Amnon, et al.
Published: (2024)
Optimal Pre-Analysis Plans: Statistical Decisions Subject to Implementability
by: Kasy, Maximilian, et al.
Published: (2022)
by: Kasy, Maximilian, et al.
Published: (2022)
Asymptotically Optimal Sequential Testing with Markovian Data
by: Sethi, Alhad, et al.
Published: (2026)
by: Sethi, Alhad, et al.
Published: (2026)
Statistical inference for rough volatility: Minimax Theory
by: Chong, Carsten, et al.
Published: (2022)
by: Chong, Carsten, et al.
Published: (2022)
Covariate shift in nonparametric regression with Markovian design
by: Trottner, Lukas
Published: (2023)
by: Trottner, Lukas
Published: (2023)
Bridging Theory and Practice: Statistical Inference for Latent Space Models of Networks
by: Tian, Yuang, et al.
Published: (2026)
by: Tian, Yuang, et al.
Published: (2026)
The Categorical Instrumental Variable Model: Characterization, Partial Identification, and Statistical Inference
by: Song, Yilin, et al.
Published: (2024)
by: Song, Yilin, et al.
Published: (2024)
Non-Markovian Reduced Models to Unravel Transitions in Non-equilibrium Systems
by: Chekroun, Mickaël D., et al.
Published: (2024)
by: Chekroun, Mickaël D., et al.
Published: (2024)
Statistical-Computational Trade-offs in Learning Multi-Index Models via Harmonic Analysis
by: Latourelle-Vigeant, Hugo, et al.
Published: (2026)
by: Latourelle-Vigeant, Hugo, et al.
Published: (2026)
Statistical Inference in High-dimensional Poisson Regression with Applications to Mediation Analysis
by: Rakshit, Prabrisha, et al.
Published: (2024)
by: Rakshit, Prabrisha, et al.
Published: (2024)
Generalized Principal Component Analysis for Large-dimensional Matrix Factor Model
by: He, Yong, et al.
Published: (2024)
by: He, Yong, et al.
Published: (2024)
A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models
by: Suh, Namjoon, et al.
Published: (2024)
by: Suh, Namjoon, et al.
Published: (2024)
Statistical Inference on Latent Space Models for Network Data
by: Li, Jinming, et al.
Published: (2023)
by: Li, Jinming, et al.
Published: (2023)
Statistical Inference for Subgraph Frequencies of Exchangeable Hyperedge Models
by: Bhattacharya, Ayoushman, et al.
Published: (2025)
by: Bhattacharya, Ayoushman, et al.
Published: (2025)
A Statistical Test for Comparing the Linkage and Admixture Model Based on Central Limit Theorems
by: Heinzel, Carola Sophia
Published: (2025)
by: Heinzel, Carola Sophia
Published: (2025)
Observable Geometry of Singular Statistical Models
by: Plummer, Sean
Published: (2026)
by: Plummer, Sean
Published: (2026)
Statistical Inference on High Dimensional Gaussian Graphical Regression Models
by: Meng, Xuran, et al.
Published: (2024)
by: Meng, Xuran, et al.
Published: (2024)
$L^2$ over Wasserstein: Statistical Analysis for Optimal Transport
by: Passeggeri, Riccardo, et al.
Published: (2026)
by: Passeggeri, Riccardo, et al.
Published: (2026)
A Statistical Framework and Analysis for Perfect Radar Pulse Compression
by: Chada, Neil K., et al.
Published: (2023)
by: Chada, Neil K., et al.
Published: (2023)
Similar Items
-
Generalization bounds for score-based generative models: a synthetic proof
by: Stéphanovitch, Arthur, et al.
Published: (2025) -
Wasserstein GANs are Minimax Optimal Distribution Estimators
by: Stéphanovitch, Arthur, et al.
Published: (2023) -
Generative model for optimal density estimation on unknown manifold
by: Stéphanovitch, Arthur
Published: (2025) -
Integral Probability Metrics on submanifolds: interpolation inequalities and optimal inference
by: Stéphanovitch, Arthur
Published: (2024) -
Regularity of the score function in generative models
by: Stéphanovitch, Arthur
Published: (2025)