Faster Sampling from Log-Concave Densities over Polytopes via Efficient Linear Solvers
Fuente:
arXiv
Saved in:
| Main Authors: | Mangoubi, Oren, Vishnoi, Nisheeth K. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Efficient Diffusion Models for Symmetric Manifolds
by: Mangoubi, Oren, et al.
Published: (2025)
by: Mangoubi, Oren, et al.
Published: (2025)
Private Low-Rank Approximation for Covariance Matrices, Dyson Brownian Motion, and Eigenvalue-Gap Bounds for Gaussian Perturbations
by: Mangoubi, Oren, et al.
Published: (2025)
by: Mangoubi, Oren, et al.
Published: (2025)
Perturbation Bounds for Low-Rank Inverse Approximations under Noise
by: Tran, Phuc, et al.
Published: (2025)
by: Tran, Phuc, et al.
Published: (2025)
Coresets for Clustering Under Stochastic Noise
by: Huang, Lingxiao, et al.
Published: (2025)
by: Huang, Lingxiao, et al.
Published: (2025)
Complexity of Non-Log-Concave Sampling in Fisher Information
by: Chewi, Sinho, et al.
Published: (2026)
by: Chewi, Sinho, et al.
Published: (2026)
Centralized Selection with Preferences in the Presence of Biases
by: Celis, L. Elisa, et al.
Published: (2024)
by: Celis, L. Elisa, et al.
Published: (2024)
Spectral Perturbation Bounds for Low-Rank Approximation with Applications to Privacy
by: Tran, Phuc, et al.
Published: (2025)
by: Tran, Phuc, et al.
Published: (2025)
Faster Spectral Density Estimation and Sparsification in the Nuclear Norm
by: Jin, Yujia, et al.
Published: (2024)
by: Jin, Yujia, et al.
Published: (2024)
Sample-Efficient Optimization over Generative Priors via Coarse Learnability
by: Awasthi, Pranjal, et al.
Published: (2025)
by: Awasthi, Pranjal, et al.
Published: (2025)
Singular Subspace Perturbation Bounds via Rectangular Random Matrix Diffusions
by: Lai, Peiyao, et al.
Published: (2024)
by: Lai, Peiyao, et al.
Published: (2024)
Accelerated Relax-and-Round for Concave Coverage Problems
by: Fahrbach, Matthew, et al.
Published: (2026)
by: Fahrbach, Matthew, et al.
Published: (2026)
Faster Graph Embeddings via Coarsening
by: Fahrbach, Matthew, et al.
Published: (2020)
by: Fahrbach, Matthew, et al.
Published: (2020)
Faster and Space Efficient Indexing for Locality Sensitive Hashing
by: Verma, Bhisham Dev, et al.
Published: (2025)
by: Verma, Bhisham Dev, et al.
Published: (2025)
Log-concave Sampling from a Convex Body with a Barrier: a Robust and Unified Dikin Walk
by: Gu, Yuzhou, et al.
Published: (2024)
by: Gu, Yuzhou, et al.
Published: (2024)
FPTAS for Holant Problems with Log-Concave Signatures
by: He, Kun, et al.
Published: (2024)
by: He, Kun, et al.
Published: (2024)
Efficient Sample-optimal Learning of Gaussian Tree Models via Sample-optimal Testing of Gaussian Mutual Information
by: Gayen, Sutanu, et al.
Published: (2024)
by: Gayen, Sutanu, et al.
Published: (2024)
Faster Low-Rank Approximation and Kernel Ridge Regression via the Block-Nyström Method
by: Garg, Sachin, et al.
Published: (2025)
by: Garg, Sachin, et al.
Published: (2025)
A Faster $k$-means++ Algorithm
by: Liang, Jiehao, et al.
Published: (2022)
by: Liang, Jiehao, et al.
Published: (2022)
Faster Diffusion Sampling with Randomized Midpoints: Sequential and Parallel
by: Gupta, Shivam, et al.
Published: (2024)
by: Gupta, Shivam, et al.
Published: (2024)
No-Regret M${}^{\natural}$-Concave Function Maximization: Stochastic Bandit Algorithms and Hardness of Adversarial Full-Information Setting
by: Oki, Taihei, et al.
Published: (2024)
by: Oki, Taihei, et al.
Published: (2024)
Faster Algorithms for Agnostically Learning Disjunctions and their Implications
by: Diakonikolas, Ilias, et al.
Published: (2025)
by: Diakonikolas, Ilias, et al.
Published: (2025)
Matchings Under Biased and Correlated Evaluations
by: Kumar, Amit, et al.
Published: (2025)
by: Kumar, Amit, et al.
Published: (2025)
Data-Efficient Learning via Clustering-Based Sensitivity Sampling: Foundation Models and Beyond
by: Axiotis, Kyriakos, et al.
Published: (2024)
by: Axiotis, Kyriakos, et al.
Published: (2024)
Sample-Efficient Linear Regression with Self-Selection Bias
by: Gaitonde, Jason, et al.
Published: (2024)
by: Gaitonde, Jason, et al.
Published: (2024)
Negative Momentum for Convex-Concave Optimization
by: Shugart, Henry, et al.
Published: (2026)
by: Shugart, Henry, et al.
Published: (2026)
Fit Like You Sample: Sample-Efficient Generalized Score Matching from Fast Mixing Diffusions
by: Qin, Yilong, et al.
Published: (2023)
by: Qin, Yilong, et al.
Published: (2023)
A Single-Sample Polylogarithmic Regret Bound for Nonstationary Online Linear Programming
by: Xu, Haoran, et al.
Published: (2026)
by: Xu, Haoran, et al.
Published: (2026)
A Faster Generalized Two-Stage Approximate Top-K
by: Samaga, Yashas, et al.
Published: (2025)
by: Samaga, Yashas, et al.
Published: (2025)
Efficient, Low-Regret, Online Reinforcement Learning for Linear MDPs
by: John, Philips George, et al.
Published: (2024)
by: John, Philips George, et al.
Published: (2024)
Private Edge Density Estimation for Random Graphs: Optimal, Efficient and Robust
by: Chen, Hongjie, et al.
Published: (2024)
by: Chen, Hongjie, et al.
Published: (2024)
Efficient Adaptive Data Analysis over Dense Distributions
by: Huh, Joon Suk
Published: (2026)
by: Huh, Joon Suk
Published: (2026)
Solving Dense Linear Systems Faster Than via Preconditioning
by: Dereziński, Michał, et al.
Published: (2023)
by: Dereziński, Michał, et al.
Published: (2023)
Graph Neural Network-Informed Predictive Flows for Faster Ford-Fulkerson and PAC-Learnability
by: Wiesler, Eleanor, et al.
Published: (2026)
by: Wiesler, Eleanor, et al.
Published: (2026)
Efficient Algorithms for Verifying Kruskal Rank in Sparse Linear Regression and Related Applications
by: Zhou, Fengqin
Published: (2025)
by: Zhou, Fengqin
Published: (2025)
Learning Mixture Models via Efficient High-dimensional Sparse Fourier Transforms
by: Kalavasis, Alkis, et al.
Published: (2026)
by: Kalavasis, Alkis, et al.
Published: (2026)
Structure-Aware Spectral Sparsification via Uniform Edge Sampling
by: He, Kaiwen, et al.
Published: (2025)
by: He, Kaiwen, et al.
Published: (2025)
Log-Time K-Means Clustering for 1D Data: Novel Approaches with Proof and Implementation
by: Hyun, Jake
Published: (2024)
by: Hyun, Jake
Published: (2024)
Learning-Augmented Algorithms for Online Concave Packing and Convex Covering Problems
by: Grigorescu, Elena, et al.
Published: (2024)
by: Grigorescu, Elena, et al.
Published: (2024)
A Simple Learning-Augmented Algorithm for Online Packing with Concave Objectives
by: Grigorescu, Elena, et al.
Published: (2024)
by: Grigorescu, Elena, et al.
Published: (2024)
Sample-Adaptivity Tradeoff in On-Demand Sampling
by: Haghtalab, Nika, et al.
Published: (2025)
by: Haghtalab, Nika, et al.
Published: (2025)
Similar Items
-
Efficient Diffusion Models for Symmetric Manifolds
by: Mangoubi, Oren, et al.
Published: (2025) -
Private Low-Rank Approximation for Covariance Matrices, Dyson Brownian Motion, and Eigenvalue-Gap Bounds for Gaussian Perturbations
by: Mangoubi, Oren, et al.
Published: (2025) -
Perturbation Bounds for Low-Rank Inverse Approximations under Noise
by: Tran, Phuc, et al.
Published: (2025) -
Coresets for Clustering Under Stochastic Noise
by: Huang, Lingxiao, et al.
Published: (2025) -
Complexity of Non-Log-Concave Sampling in Fisher Information
by: Chewi, Sinho, et al.
Published: (2026)