Experiments with Random Projection

Sanjoy Dasgupta

Experiments with Random Projection

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arxiv 1301.3849 v1 pith:BX24QUI3 submitted 2013-01-16 cs.LG stat.ML

Sanjoy Dasgupta This is my paper · ORCID

classification cs.LGstat.ML

keywords experimentsprojectionrandomdatadimensionalitygausianshereidentified

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Recent theoretical work has identified random projection as a promising dimensionality reduction technique for learning mixtures of Gausians. Here we summarize these results and illustrate them by a wide variety of experiments on synthetic and real data.

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Compressed Bayesian Tensor Regression
stat.ME 2025-10 reject novelty 6.0 of 10

Compressed Bayesian tensor regression uses random projections to shrink tensor inputs before a low-rank Bayesian fit, reporting better out-of-sample forecasts at lower computational cost than uncompressed tensor regression.

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