High Dimensional Portfolio Selection with Cardinality Constraints
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Updated
Sep 27, 2022 - Python
High Dimensional Portfolio Selection with Cardinality Constraints
Python scripts from paper Optimal cleaning for singular values of cross-covariance matrices, by Florent Benaych-Georges, Jean-Philippe Bouchaud, Marc Potters (see https://arxiv.org/abs/1901.05543)
Presentation of the VSC model, a variant of VAE - 📔 High Dimensional Statistics
Python package for penalized sieve estimation in tensor product spaces for non-parametric regression and classification estimation.
Implementation and presentation of the Variational Sparse Coding (VSC) model. High Dimensional Statistics course project.
Advanced anomaly detection using topological data analysis and manifold learning.
Direct Python ports of Nonlinear Matrix Factorization implementations
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