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| Boosting with the Logistic Loss is Consistent | May 13, 2013 | Generalization Bounds | —Unverified | 0 |
| An Information-Theoretic Framework for Out-of-Distribution Generalization with Applications to Stochastic Gradient Langevin Dynamics | Mar 29, 2024 | Generalization BoundsOut-of-Distribution Generalization | —Unverified | 0 |
| Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data | Oct 16, 2023 | counterfactualEpidemiology | —Unverified | 0 |
| Chaining Mutual Information and Tightening Generalization Bounds | Jun 11, 2018 | Generalization Bounds | —Unverified | 0 |
| A Nonlinear Kernel Support Matrix Machine for Matrix Learning | Jul 20, 2017 | Generalization Bounds | —Unverified | 0 |
| Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics | Oct 5, 2019 | Deep LearningGeneralization Bounds | —Unverified | 0 |
| Classification with Deep Neural Networks and Logistic Loss | Jul 31, 2023 | Binary ClassificationClassification | —Unverified | 0 |
| Class-wise Generalization Error: an Information-Theoretic Analysis | Jan 5, 2024 | Generalization Bounds | —Unverified | 0 |
| Boosting the kernelized shapelets: Theory and algorithms for local features | Sep 5, 2017 | Binary ClassificationGeneral Classification | —Unverified | 0 |