Unification and Optimization of Robust Supervised Learning

arXiv:2605.28165 · cs.LG · Submitted 2026-05-27 · Read on arXiv

cs.LG

Submitted: 2026-05-27

Updated: 2026-10-14

Terminology

• Aggregation — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Degeneracies — 1× in this paper · explained in 2 episodes
• Distribution Shift — 1× in this paper · explained in 8 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 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: The Predictive Cost of ELBO Binding
• Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks