Beyond Marginal Monitoring: Distributed Joint-Distribution Testing for Data Concept Drift in Large Scale E-Commerce Operations

arXiv:2610.08132 · cs.DC, cs.LG, stat.ME, stat.ML · Submitted 2026-10-06 · Read on arXiv

cs.DC, cs.LG, stat.ME, stat.ML

Submitted: 2026-10-06

Updated: 2026-10-06

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Concept Drift — 1× in this paper · explained in 4 episodes

Sources

• Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift
• Open-Source Drift Detection Tools in Action: Insights from Two Use Cases
• A Framework for Evaluating and Benchmarking Concept Drift Detection Methods
• Learner-based Concept Drift Detection: Analysis and Evaluation
• Online Shift Detection and Conformal Adaptation for Deployed Safety Classifiers
• Challenges in Benchmarking Stream Learning Algorithms with Real-world Data
• Generalized Sliced Wasserstein Distances

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