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Found 6 papers, 0 papers with code
Weighted Spectral Filters for Kernel Interpolation on Spheres: Estimates of Prediction Accuracy for Noisy Data
In this paper, we introduce a weighted spectral filter approach to reduce the condition number of the kernel matrix and then stabilize kernel interpolation.
On the Estimation Performance of Generalized Power Method for Heteroscedastic Probabilistic PCA
The heteroscedastic probabilistic principal component analysis (PCA) technique, a variant of the classic PCA that considers data heterogeneity, is receiving more and more attention in the data science and signal processing communities.
Decentralized Weakly Convex Optimization Over the Stiefel Manifold
We focus on a class of non-smooth optimization problems over the Stiefel manifold in the decentralized setting, where a connected network of $n$ agents cooperatively minimize a finite-sum objective function with each component being weakly convex in the ambient Euclidean space.
Orthogonal Group Synchronization with Incomplete Measurements: Error Bounds and Linear Convergence of the Generalized Power Method
In this paper, we focus on the orthogonal group synchronization problem with general additive noise models under incomplete measurements, which is much more general than the commonly considered setting of complete measurements.
Sparse High-Order Portfolios via Proximal DCA and SCA
Optimization for the MVSKC model is of great difficulty in two parts.
Joint Bandwidth Allocation and Path Selection in WANs with Path Cardinality Constraints
Almost all existing works deal with such a problem using relaxation techniques to transform it to be a convex optimization problem.
