Learning the identity: a case study of how SGD selects among functional decompositions
cs.LG
Submitted: 2026-09-30
Updated: 2026-09-30
Code: https://github.com/andyrdt/identity-learning
Sources
- Understanding and inverse design of implicit bias in stochastic learning: a geometric perspective
- Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
- Does SGD Seek Flatness or Sharpness? An Exactly Solvable Model
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: The Predictive Cost of ELBO Binding
- Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks