covariance estimation

ACE-Merging: Data-Free Model Merging with Adaptive Covariance Estimation CVPR 2026 Gaussian Graphical Learning via PSD Constraint for Blockwise Missing Multimodal Data UAI 2026 On Purely Private Covariance Estimation ALT 2026 On the Curse of Dimensionality in Private Sparse Covariance Estimation and PCA COLT 2026 Optimal Bounds for Tyler’s M-Estimator for Elliptical Distributions ALT 2026 Positive Definite Sparse Covariance Estimation via Dual Space Optimization AAAI 2026 Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs ICLR 2025 From Sparse to Dense Functional Data in High Dimensions: Revisiting Phase Transitions from a Non-Asymptotic Perspective JMLR 2025 Heavy-tailed Estimation is Easier than Adversarial Contamination COLT 2025 Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applications AISTATS 2025 On the Utility of Equal Batch Sizes for Inference in Stochastic Gradient Descent JMLR 2025 Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression ICLR 2025 Dimension-free Structured Covariance Estimation COLT 2024 Methods for recovering conditional independence graphs (Abstract Reprint) IJCAI 2024 Neural Network Augmented Kalman Filter for Robust Acoustic Howling Suppression Interspeech 2024 Oja's Algorithm for Streaming Sparse PCA NeurIPS 2024 TIC-TAC: A Framework For Improved Covariance Estimation In Deep Heteroscedastic Regression ICML 2024 Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits NeurIPS 2024 A Pretty Fast Algorithm for Adaptive Private Mean Estimation COLT 2023 A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm NeurIPS 2023 Covariance-adaptive best arm identification NeurIPS 2023 Estimating Noise Correlations Across Continuous Conditions With Wishart Processes NeurIPS 2023 Fast, Sample-Efficient, Affine-Invariant Private Mean and Covariance Estimation for Subgaussian Distributions COLT 2023 Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares CVPR 2023 Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation ICCV 2023