mailitics

Tag: view

  • A Bird’s-Eye View of Linear Algebra: Measure of a Map — Determinants

    A Bird’s-Eye View of Linear Algebra: Measure of a Map — Determinants We roll up our sleeves and start to deal with matrices The post A Bird’s-Eye View of Linear Algebra: Measure of a Map — Determinants appeared first on Towards Data Science. Rohit Pandey Go to original source

  • A Bird’s Eye View of Linear Algebra: The Basics

    A Bird’s Eye View of Linear Algebra: The Basics We think basis-free, we write basis-free, but when the chips are down we close the office door and compute with matrices like fury. The post A Bird’s Eye View of Linear Algebra: The Basics appeared first on Towards Data Science. Rohit Pandey Go to original source

  • Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior

    Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior arXiv:2504.18455v1 Announce Type: new Abstract: We study the problem of distributed multi-view representation learning. In this problem, $K$ agents observe each one distinct, possibly statistically correlated, view and independently extracts from it a suitable representation in a manner that a…

  • Nonlinear Sparse Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data

    Nonlinear Sparse Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data arXiv:2502.18756v1 Announce Type: new Abstract: Motivation: Biomedical studies increasingly produce multi-view high-dimensional datasets (e.g., multi-omics) that demand integrative analysis. Existing canonical correlation analysis (CCA) and generalized CCA methods address at most two of the following three key aspects simultaneously: (i) nonlinear dependence, (ii) sparsity for…

  • Multi-View Oriented GPLVM: Expressiveness and Efficiency

    Multi-View Oriented GPLVM: Expressiveness and Efficiency arXiv:2502.08253v1 Announce Type: new Abstract: The multi-view Gaussian process latent variable model (MV-GPLVM) aims to learn a unified representation from multi-view data but is hindered by challenges such as limited kernel expressiveness and low computational efficiency. To overcome these issues, we first introduce a new duality between the spectral…

  • Towards the Generalization of Multi-view Learning: An Information-theoretical Analysis

    Towards the Generalization of Multi-view Learning: An Information-theoretical Analysis arXiv:2501.16768v1 Announce Type: new Abstract: Multiview learning has drawn widespread attention for its efficacy in leveraging cross-view consensus and complementarity information to achieve a comprehensive representation of data. While multi-view learning has undergone vigorous development and achieved remarkable success, the theoretical understanding of its generalization behavior…