Cover Image

DDPM Score Matching and Distribution Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chewi, Sinho, Kalavasis, Alkis, Mehrotra, Anay, Montasser, Omar
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Data Structures and Algorithms Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Can SGD Select Good Fishermen? Local Convergence under Self-Selection Biases and Beyond
by: Kalavasis, Alkis, et al.
Published: (2025)

Linear Regression with Unknown Truncation Beyond Gaussian Features
by: Kouridakis, Alexandros, et al.
Published: (2026)

Mean Estimation from Coarse Data: Characterizations and Efficient Algorithms
by: Kalavasis, Alkis, et al.
Published: (2026)

Complexity of Non-Log-Concave Sampling in Fisher Information
by: Chewi, Sinho, et al.
Published: (2026)

A proximal gradient algorithm for composite log-concave sampling
by: Liu, Linghai, et al.
Published: (2026)

Transfer Learning Beyond Bounded Density Ratios
by: Kalavasis, Alkis, et al.
Published: (2024)

Efficient Parameter Estimation of Truncated Boolean Product Distributions
by: Fotakis, Dimitris, et al.
Published: (2020)

Fast parallel sampling under isoperimetry
by: Anari, Nima, et al.
Published: (2024)

Shifted Composition III: Local Error Framework for KL Divergence
by: Altschuler, Jason M., et al.
Published: (2024)

On Characterizations for Language Generation: Interplay of Hallucinations, Breadth, and Stability
by: Kalavasis, Alkis, et al.
Published: (2024)

On the Limits of Language Generation: Trade-Offs Between Hallucination and Mode Collapse
by: Kalavasis, Alkis, et al.
Published: (2024)

Smoothed Analysis of Learning from Positive Samples
by: Lee, Jane H., et al.
Published: (2025)

High-accuracy log-concave sampling with stochastic queries
by: Chen, Fan, et al.
Published: (2026)

Algorithmic warm starts for Hamiltonian Monte Carlo
by: Zhang, Matthew S., et al.
Published: (2026)

Derandomizing Multi-Distribution Learning
by: Larsen, Kasper Green, et al.
Published: (2024)

A Note on Non-Negative $L_1$-Approximating Polynomials
by: Lee, Jane H., et al.
Published: (2026)

Efficient Statistics With Unknown Truncation, Polynomial Time Algorithms, Beyond Gaussians
by: Lee, Jane H., et al.
Published: (2024)

What is Learnable in Valiant's Theory of the Learnable?
by: Hanneke, Steve, et al.
Published: (2026)

Improved Guarantees for Heterogeneous Treatment-Effect Estimation via Matrix Completion
by: Mehrotra, Anay, et al.
Published: (2026)

On the Learning Curves of Revenue Maximization
by: Hanneke, Steve, et al.
Published: (2026)

Learning Mixture Models via Efficient High-dimensional Sparse Fourier Transforms
by: Kalavasis, Alkis, et al.
Published: (2026)

Shifted Composition IV: Toward Ballistic Acceleration for Log-Concave Sampling
by: Altschuler, Jason M., et al.
Published: (2025)

Smaller Confidence Intervals From IPW Estimators via Data-Dependent Coarsening
by: Kalavasis, Alkis, et al.
Published: (2024)

Replicable Learning of Large-Margin Halfspaces
by: Kalavasis, Alkis, et al.
Published: (2024)

Computing High-dimensional Confidence Sets for Arbitrary Distributions
by: Gao, Chao, et al.
Published: (2025)

SoS Certifiability of Subgaussian Distributions and its Algorithmic Applications
by: Diakonikolas, Ilias, et al.
Published: (2024)

Sample-Adaptivity Tradeoff in On-Demand Sampling
by: Haghtalab, Nika, et al.
Published: (2025)

Is Transductive Learning Equivalent to PAC Learning?
by: Dughmi, Shaddin, et al.
Published: (2024)

Revisiting Agnostic PAC Learning
by: Hanneke, Steve, et al.
Published: (2024)

A Distribution Testing Approach to Clustering Distributions
by: Kumar, Gunjan, et al.
Published: (2025)

One-Shot Learning for k-SAT
by: Galanis, Andreas, et al.
Published: (2025)

Online Learning of Halfspaces with Massart Noise
by: Diakonikolas, Ilias, et al.
Published: (2024)

On Learning Parallel Pancakes with Mostly Uniform Weights
by: Diakonikolas, Ilias, et al.
Published: (2025)

Sample-Efficient Private Learning of Mixtures of Gaussians
by: Ashtiani, Hassan, et al.
Published: (2024)

Learning Confidence Ellipsoids and Applications to Robust Subspace Recovery
by: Gao, Chao, et al.
Published: (2025)

Statistical Query Lower Bounds for Learning Truncated Gaussians
by: Diakonikolas, Ilias, et al.
Published: (2024)

Learning the Sherrington-Kirkpatrick Model Even at Low Temperature
by: Chandrasekaran, Gautam, et al.
Published: (2024)

Learning Multinomial Logits in $O(n \log n)$ time
by: Chierichetti, Flavio, et al.
Published: (2026)

Robust Learning of Multi-index Models via Iterative Subspace Approximation
by: Diakonikolas, Ilias, et al.
Published: (2025)

A Near-optimal Algorithm for Learning Margin Halfspaces with Massart Noise
by: Diakonikolas, Ilias, et al.
Published: (2025)