What Changed? Drift Detection with Real, Virtual, and Incomparable Diagnosis

arXiv:2609.27865 · cs.LG, cs.AI, cs.NE · Submitted 2026-08-20 · Read on arXiv

cs.LG, cs.AI, cs.NE

Submitted: 2026-08-20

Updated: 2026-08-20

Terminology

• Covariate Shift — 7× in this paper · explained in 2 episodes
• Benchmark — 5× in this paper · explained in 2 episodes
• Calibration — 4× in this paper · explained in 7 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Adaptation — 2× in this paper · explained in 1 episode
• Concept Drift — 2× in this paper · explained in 4 episodes
• Adaptive Monitoring — 1× in this paper · explained in 1 episode
• Benchmarking — 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: Local-Consistency Optimisation for Bayesian Neural Networks
• Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks