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Found 4 papers, 1 papers with code
Near-Optimal differentially private low-rank trace regression with guaranteed private initialization
We also propose a differentially private algorithm for estimating $M$ based on Riemannian optimization (DP-RGrad), which achieves a near-optimal convergence rate with the DP-initialization and sample size of $n \geq \wt O(r (d_1 + d_2))$.
Optimal Differentially Private PCA and Estimation for Spiked Covariance Matrices
Estimating a covariance matrix and its associated principal components is a fundamental problem in contemporary statistics.
Time Series Generation with Masked Autoencoder
This paper shows that masked autoencoder with extrapolator (ExtraMAE) is a scalable self-supervised model for time series generation.
IDEA: Interpretable Dynamic Ensemble Architecture for Time Series Prediction
We enhance the accuracy and generalization of univariate time series point prediction by an explainable ensemble on the fly.
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