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High-dimensional linear regression dataset with shrinkage priors
The dataset used in the paper is a high-dimensional linear regression dataset with shrinkage priors. -
Synthetic dataset for high-dimensional robust mean estimation
The dataset used in this paper is a synthetic dataset for high-dimensional robust mean estimation. -
Interpretable reduced-order modeling with time-scale separation
High-dimensional time series data generated by a complex latent dynamics -
Simulated dataset
The dataset used in this paper is a simulated dataset with 200 variables and 50 observations. The variables are generated from a multivariate normal distribution with a...
