The Premise Is the Problem: Exchangeability Failure in Self-Monitored Test-Time Adaptation
cs.LG, stat.ML
Submitted: 2026-10-04
Updated: 2026-10-04
Comments: 49 pages, 9 figures
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Sequential Harmful Shift Detection Without Labels
- Chronos: Learning the Language of Time Series
- Chronos-2: From Univariate to Universal Forecasting
- Online Learning Rate Adaptation with Hypergradient Descent
- Change detection with conformal martingales: new optimal constructions, and suboptimality of existing methods
- Learning the Context of Errors: Black-Box Online Adaptation of Time Series Foundation Models
- Kernel-based Optimally Weighted Conformal Time-Series Prediction
- When and Where to Reset Matters for Long-Term Test-Time Adaptation
- Rethinking Evaluation in the Era of Time Series Foundation Models: (Un)known Information Leakage Challenges
- Towards Stable Test-Time Adaptation in Dynamic Wild World
- Conformal Prediction for Time-series Forecasting with Change Points
- Betting on Moments: Legendre Jumper Martingales for Online Exchangeability Testing
- Tent: Fully Test-time Adaptation by Entropy Minimization
- Towards Principled Test-Time Adaptation for Time Series Forecasting
- Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt
- Proactive Model Adaptation Against Concept Drift for Online Time Series Forecasting
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