covariance matrix

Covariance Scattering Transforms AAAI 2026 Meta-Dependence in Conditional Independence Testing UAI 2026 A Correlation Manifold Self-Attention Network for EEG Decoding IJCAI 2025 A General Adaptive Dual-level Weighting Mechanism for Remote Sensing Pansharpening CVPR 2025 Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation ICCV 2025 Efficient Sparse PCA via Block-Diagonalization ICLR 2025 Layered-Parameter Perturbation for Zeroth-Order Optimization of Optical Neural Networks AAAI 2025 Learning Gaussian DAG Models without Condition Number Bounds ICML 2025 Learning multivariate Gaussians with imperfect advice ICML 2025 Learning to Normalize on the SPD Manifold under Bures-Wasserstein Geometry CVPR 2025 Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers JMLR 2025 RiemStega: Covariance-Based Loss for Print-Proof Transmission of Data in Images WACV 2025 Wasserstein F-tests for Frechet regression on Bures-Wasserstein manifolds JMLR 2025 A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables ICLR 2024 Better Batch for Deep Probabilistic Time Series Forecasting AISTATS 2024 Causal-Driven Skill Prerequisite Structure Discovery AAAI 2024 Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits ICML 2024 Fundamental Limits of Distributed Covariance Matrix Estimation Under Communication Constraints ICML 2024 Graph Structure Inference with BAM: Neural Dependency Processing via Bilinear Attention NeurIPS 2024 Methods for recovering conditional independence graphs (Abstract Reprint) IJCAI 2024 Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning NeurIPS 2024 Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits NeurIPS 2024 Adaptive Riemannian stochastic gradient descent and reparameterization for Gaussian mixture model fitting ACML 2023 Bayesian Spanning Tree: Estimating the Backbone of the Dependence Graph JMLR 2023 Feature Adaptation for Sparse Linear Regression NeurIPS 2023