| PAC-Bayesian Learning of Aggregated Binary Activated Neural Networks with Probabilities over Representations | Oct 28, 2021 | Generalization Bounds | —Unverified | 0 |
| Learning-Based Low-Rank Approximations | Oct 30, 2019 | Generalization Bounds | —Unverified | 0 |
| Learning Better Structured Representations Using Low-rank Adaptive Label Smoothing | Jan 1, 2021 | Generalization BoundsMachine Translation | —Unverified | 0 |
| On generalization in moment-based domain adaptation | Feb 19, 2020 | Domain AdaptationGeneralization Bounds | —Unverified | 0 |
| Learning Capacity: A Measure of the Effective Dimensionality of a Model | May 27, 2023 | Generalization Bounds | —Unverified | 0 |
| Learning Decisions Offline from Censored Observations with ε-insensitive Operational Costs | Aug 14, 2024 | Generalization Bounds | —Unverified | 0 |
| Learning Distributions by Generative Adversarial Networks: Approximation and Generalization | May 25, 2022 | Generalization BoundsLearning Theory | —Unverified | 0 |
| Learning Fair Scoring Functions: Bipartite Ranking under ROC-based Fairness Constraints | Feb 19, 2020 | FairnessGeneralization Bounds | —Unverified | 0 |
| Learning finite-dimensional coding schemes with nonlinear reconstruction maps | Dec 23, 2018 | Generalization BoundsRepresentation Learning | —Unverified | 0 |
| Learning from non-irreducible Markov chains | Oct 8, 2021 | Generalization Bounds | —Unverified | 0 |
