Performance Analysis
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Persistent Test-time Adaptation in Recurring Testing Scenarios
Neural Information Processing Systems
Current test-time adaptation (TT A) approaches aim to adapt a machine learning model to environments that change continuously.
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RashomonGB: Analyzing the Rashomon Effect and Mitigating Predictive Multiplicity in Gradient Boosting
Neural Information Processing Systems
The Rashomon effect is a mixed blessing in responsible machine learning.
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Tangent Space Causal Inference: Leveraging Vector Fields for Causal Discovery in Dynamical Systems Kurt Butler
Neural Information Processing Systems
The TSCI approach is model-agnostic and can be used as a drop-in replacement for CCM and its generalizations.
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