Statistical Learning
Learning via Wasserstein-Based High Probability Generalisation Bounds
Neural Information Processing Systems
The authors contributed equally to this work 37th Conference on Neural Information Processing Systems (NeurIPS 2023). Developing upper bounds on the generalisation gap, i.e., generalisation bounds has been a longstanding topic in statistical learning.
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Diversifying Spatial-Temporal Perception for Video Domain Generalization Kun-Y u Lin
Neural Information Processing Systems
However, existing video classification models rely on the i.i.d.
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