conftrace_

covariance estimation

98 papers

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Co-occurring keywords

high-dimensional statistics (145) differential privacy (1016) graphical model (864) covariance matrix (101) mean estimation (70) precision matrix (58) robust estimation (168) robust statistics (102) gaussian graphical model (106) sparse estimation (88)

Papers

Optimal Bounds for Tyler’s M-Estimator for Elliptical Distributions ALT 2026
On Purely Private Covariance Estimation ALT 2026
Positive Definite Sparse Covariance Estimation via Dual Space Optimization AAAI 2026
From Sparse to Dense Functional Data in High Dimensions: Revisiting Phase Transitions from a Non-Asymptotic Perspective JMLR 2025
Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits NIPS 2024
Dimension-free Structured Covariance Estimation COLT 2024
Neural Network Augmented Kalman Filter for Robust Acoustic Howling Suppression INTERSPEECH 2024
Oja's Algorithm for Streaming Sparse PCA NIPS 2024
Methods for recovering conditional independence graphs (Abstract Reprint) IJCAI 2024
Estimating Noise Correlations Across Continuous Conditions With Wishart Processes NIPS 2023
Robust covariance estimation with missing values and cell-wise contamination NIPS 2023
Covariance-adaptive best arm identification NIPS 2023
Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry ICML 2023
On the Consistency of Maximum Likelihood Estimation of Probabilistic Principal Component Analysis NIPS 2023
A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm NIPS 2023
A Pretty Fast Algorithm for Adaptive Private Mean Estimation COLT 2023
Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation ICCV 2023
Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares CVPR 2023
Fast, Sample-Efficient, Affine-Invariant Private Mean and Covariance Estimation for Subgaussian Distributions COLT 2023
Online Change-Point Detection in High-Dimensional Covariance Structure with Application to Dynamic Networks JMLR 2023
A Nonconvex Framework for Structured Dynamic Covariance Recovery JMLR 2022
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models ICML 2022
On perfectness in Gaussian graphical models AISTATS 2022
New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma NIPS 2022
Estimating graphical models for count data with applications to single-cell gene network NIPS 2022