D-SLR: The Disjoint Row-Sparse plus Low-Rank Decomposition

arXiv:2610.10636 · cs.LG, stat.ME, stat.ML · Submitted 2026-10-07 · Read on arXiv

cs.LG, stat.ME, stat.ML

Submitted: 2026-10-07

Updated: 2026-10-07

Terminology

• Outlier Pursuit — 18× in this paper
• Sparsity — 6× in this paper · explained in 4 episodes
• Calibration — 3× in this paper · explained in 7 episodes
• Regularization — 3× in this paper · explained in 3 episodes
• Verification — 3× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• Fingerprinting — 1× in this paper · explained in 2 episodes
• Matrix Completion — 1× in this paper · explained in 4 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• Reconstruction Error — 1× in this paper · explained in 2 episodes

Sources

• Gemma 3 Technical Report
• The Llama 3 Herd of Models
• Introduction to Coresets: Accurate Coresets

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