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cs.LG2026
Search Dimension in Unlabeled Projection Pursuit: A Scaling Law for Subspace Restriction
Rares Dimitrie Grozavescu, Mark Girolami
Projection pursuit searches for a direction along which the data look least Gaussian. When the observation space contains a large Gaussian complement, the empirical objective can b…
stat.ME2026
Beyond Laplace: Closed-form wrapped Gaussian posterior approximations on statistical manifolds
Marcelo Hartmann, Luu Hoang Phuc Hau, Anton Mallasto +5
In Bayesian statistics, the Laplace approximation provides a computationally efficient approximation to posterior distributions. However, its Gaussian form restricts it to elliptic…