Search Dimension in Unlabeled Projection Pursuit: A Scaling Law for Subspace Restriction
cs.LG, math.ST, stat.ML, stat.TH
Submitted: 2026-09-29
Updated: 2026-09-29
Terminology
Sources
- Phase transition of the largest eigenvalue for non-null complex sample covariance matrices
- Overparametrized linear dimensionality reductions: From projection pursuit to two-layer neural networks
- Wasserstein Projection Pursuit of Non-Gaussian Signals
Related papers
- Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
- AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
- Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
- Convergence issues in Relational Concept Analysis based on AOC-posets
- Beliefs Beyond Posteriors: Local-Consistency Optimisation for Bayesian Neural Networks
- Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks