Covariance estimation using Markov chain Monte Carlo
Fuente:
arXiv
Saved in:
| Main Authors: | Kook, Yunbum, Zhang, Matthew S. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Rényi-infinity constrained sampling with $d^3$ membership queries
by: Kook, Yunbum, et al.
Published: (2024)
by: Kook, Yunbum, et al.
Published: (2024)
In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies
by: Kook, Yunbum, et al.
Published: (2024)
by: Kook, Yunbum, et al.
Published: (2024)
Sampling and Integration of Logconcave Functions by Algorithmic Diffusion
by: Kook, Yunbum, et al.
Published: (2024)
by: Kook, Yunbum, et al.
Published: (2024)
Fast Tensor Completion via Approximate Richardson Iteration
by: Ghadiri, Mehrdad, et al.
Published: (2025)
by: Ghadiri, Mehrdad, et al.
Published: (2025)
Faster logconcave sampling from a cold start in high dimension
by: Kook, Yunbum, et al.
Published: (2025)
by: Kook, Yunbum, et al.
Published: (2025)
Zeroth-order Logconcave Sampling
by: Kook, Yunbum, et al.
Published: (2025)
by: Kook, Yunbum, et al.
Published: (2025)
Algorithmic warm starts for Hamiltonian Monte Carlo
by: Zhang, Matthew S., et al.
Published: (2026)
by: Zhang, Matthew S., et al.
Published: (2026)
Gaussian Cooling and Dikin Walks: The Interior-Point Method for Logconcave Sampling
by: Kook, Yunbum, et al.
Published: (2023)
by: Kook, Yunbum, et al.
Published: (2023)
Nearly Optimal Robust Covariance and Scatter Matrix Estimation Beyond Gaussians
by: Novikov, Gleb
Published: (2025)
by: Novikov, Gleb
Published: (2025)
High-dimensional estimation with missing data: Statistical and computational limits
by: Verchand, Kabir Aladin, et al.
Published: (2026)
by: Verchand, Kabir Aladin, et al.
Published: (2026)
Perspectives on Stochastic Localization
by: Shi, Bobby, et al.
Published: (2025)
by: Shi, Bobby, et al.
Published: (2025)
Lasso with Latents: Efficient Estimation, Covariate Rescaling, and Computational-Statistical Gaps
by: Kelner, Jonathan, et al.
Published: (2024)
by: Kelner, Jonathan, et al.
Published: (2024)
Computational and statistical lower bounds for low-rank estimation under general inhomogeneous noise
by: De, Debsurya, et al.
Published: (2025)
by: De, Debsurya, et al.
Published: (2025)
One-Shot Learning for k-SAT
by: Galanis, Andreas, et al.
Published: (2025)
by: Galanis, Andreas, et al.
Published: (2025)
CoinPress: Practical Private Mean and Covariance Estimation
by: Biswas, Sourav, et al.
Published: (2020)
by: Biswas, Sourav, et al.
Published: (2020)
Is Transductive Learning Equivalent to PAC Learning?
by: Dughmi, Shaddin, et al.
Published: (2024)
by: Dughmi, Shaddin, et al.
Published: (2024)
A Sub-Quadratic Time Algorithm for Robust Sparse Mean Estimation
by: Pensia, Ankit
Published: (2024)
by: Pensia, Ankit
Published: (2024)
Simple and Nearly-Optimal Sampling for Rank-1 Tensor Completion via Gauss-Jordan
by: Gomez-Leos, Alejandro, et al.
Published: (2024)
by: Gomez-Leos, Alejandro, et al.
Published: (2024)
SoS Certifiability of Subgaussian Distributions and its Algorithmic Applications
by: Diakonikolas, Ilias, et al.
Published: (2024)
by: Diakonikolas, Ilias, et al.
Published: (2024)
Revisiting Agnostic PAC Learning
by: Hanneke, Steve, et al.
Published: (2024)
by: Hanneke, Steve, et al.
Published: (2024)
Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination
by: Diakonikolas, Ilias, et al.
Published: (2024)
by: Diakonikolas, Ilias, et al.
Published: (2024)
Online Learning of Halfspaces with Massart Noise
by: Diakonikolas, Ilias, et al.
Published: (2024)
by: Diakonikolas, Ilias, et al.
Published: (2024)
Sample-Efficient Private Learning of Mixtures of Gaussians
by: Ashtiani, Hassan, et al.
Published: (2024)
by: Ashtiani, Hassan, et al.
Published: (2024)
A mixing time bound for Gibbs sampling from log-smooth log-concave distributions
by: Wadia, Neha S.
Published: (2024)
by: Wadia, Neha S.
Published: (2024)
Sample-Efficient Linear Regression with Self-Selection Bias
by: Gaitonde, Jason, et al.
Published: (2024)
by: Gaitonde, Jason, et al.
Published: (2024)
Implicit High-Order Moment Tensor Estimation and Learning Latent Variable Models
by: Diakonikolas, Ilias, et al.
Published: (2024)
by: Diakonikolas, Ilias, et al.
Published: (2024)
Transfer Learning Beyond Bounded Density Ratios
by: Kalavasis, Alkis, et al.
Published: (2024)
by: Kalavasis, Alkis, et al.
Published: (2024)
Faster Diffusion Sampling with Randomized Midpoints: Sequential and Parallel
by: Gupta, Shivam, et al.
Published: (2024)
by: Gupta, Shivam, et al.
Published: (2024)
Fast parallel sampling under isoperimetry
by: Anari, Nima, et al.
Published: (2024)
by: Anari, Nima, et al.
Published: (2024)
Statistical Query Lower Bounds for Learning Truncated Gaussians
by: Diakonikolas, Ilias, et al.
Published: (2024)
by: Diakonikolas, Ilias, et al.
Published: (2024)
On the hardness of learning under symmetries
by: Kiani, Bobak T., et al.
Published: (2024)
by: Kiani, Bobak T., et al.
Published: (2024)
SQ Lower Bounds for Non-Gaussian Component Analysis with Weaker Assumptions
by: Diakonikolas, Ilias, et al.
Published: (2024)
by: Diakonikolas, Ilias, et al.
Published: (2024)
Learning the Sherrington-Kirkpatrick Model Even at Low Temperature
by: Chandrasekaran, Gautam, et al.
Published: (2024)
by: Chandrasekaran, Gautam, et al.
Published: (2024)
Optimal Robust Estimation under Local and Global Corruptions: Stronger Adversary and Smaller Error
by: Pittas, Thanasis, et al.
Published: (2024)
by: Pittas, Thanasis, et al.
Published: (2024)
Almost-Optimal Local-Search Methods for Sparse Tensor PCA
by: Lovig, Max, et al.
Published: (2025)
by: Lovig, Max, et al.
Published: (2025)
A Note on Non-Negative $L_1$-Approximating Polynomials
by: Lee, Jane H., et al.
Published: (2026)
by: Lee, Jane H., et al.
Published: (2026)
Batch List-Decodable Linear Regression via Higher Moments
by: Diakonikolas, Ilias, et al.
Published: (2025)
by: Diakonikolas, Ilias, et al.
Published: (2025)
Linear Regression with Unknown Truncation Beyond Gaussian Features
by: Kouridakis, Alexandros, et al.
Published: (2026)
by: Kouridakis, Alexandros, et al.
Published: (2026)
Information-Computation Tradeoffs for Noiseless Linear Regression with Oblivious Contamination
by: Diakonikolas, Ilias, et al.
Published: (2025)
by: Diakonikolas, Ilias, et al.
Published: (2025)
Easy, robust approximate message passing for planted spike models
by: Ivkov, Misha, et al.
Published: (2026)
by: Ivkov, Misha, et al.
Published: (2026)
Similar Items
-
Rényi-infinity constrained sampling with $d^3$ membership queries
by: Kook, Yunbum, et al.
Published: (2024) -
In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies
by: Kook, Yunbum, et al.
Published: (2024) -
Sampling and Integration of Logconcave Functions by Algorithmic Diffusion
by: Kook, Yunbum, et al.
Published: (2024) -
Fast Tensor Completion via Approximate Richardson Iteration
by: Ghadiri, Mehrdad, et al.
Published: (2025) -
Faster logconcave sampling from a cold start in high dimension
by: Kook, Yunbum, et al.
Published: (2025)