Understanding the Subspace Stabilization of the Hessian and Gradient Covariance Matrix

arXiv:2609.31983 · cs.LG, math.OC · Submitted 2026-09-25 · Read on arXiv

cs.LG, math.OC

Submitted: 2026-09-25

Updated: 2026-09-25

Terminology

• Gradient Flow — 6× in this paper · explained in 2 episodes
• Alignment — 4× in this paper · explained in 1 episode
• Fisher Information — 2× in this paper · explained in 3 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Scaling Laws — 1× in this paper · explained in 4 episodes
• Trace — 1× in this paper · explained in 2 episodes

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