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Found 6 papers, 1 papers with code
Constrained Independent Vector Analysis with Reference for Multi-Subject fMRI Analysis
Independent vector analysis (IVA) generalizes ICA to multiple datasets, i. e., to multi-subject data, and in addition to higher-order statistical information in ICA, it leverages the statistical dependence across the datasets as an additional type of statistical diversity.
Better Generalization with Semantic IDs: A case study in Ranking for Recommendations
We showcase how we use them as a replacement of item IDs in a resource-constrained ranking model used in an industrial-scale video sharing platform.
On Asymptotic Linear Convergence of Projected Gradient Descent for Constrained Least Squares
This manuscript presents a unified framework for the local convergence analysis of projected gradient descent in the context of constrained least squares.
A Closed-Form Bound on the Asymptotic Linear Convergence of Iterative Methods via Fixed Point Analysis
In this letter, we take into account the effect of the first-order approximation error and present a closed-form bound on the convergence in terms of the number of iterations required for the distance between the iterate and the limit point to reach an arbitrarily small fraction of the initial distance.
Exact Linear Convergence Rate Analysis for Low-Rank Symmetric Matrix Completion via Gradient Descent
Factorization-based gradient descent is a scalable and efficient algorithm for solving low-rank matrix completion.
Parkinson's Disease Digital Biomarker Discovery with Optimized Transitions and Inferred Markov Emissions
These observations were modeled as a cycle of hidden states with randomness allowing deviation from a canonical pattern of transitions and emissions, under the hypothesis that the averaged features of hidden states would serve to informatively characterize classes of patients/controls.
