| Algorithm-Dependent Bounds for Representation Learning of Multi-Source Domain Adaptation | Apr 4, 2023 | Domain AdaptationGeneralization Bounds | CodeCode Available | 0 | 5 |
| Learning Overlapping Representations for the Estimation of Individualized Treatment Effects | Jan 14, 2020 | Generalization Boundsregression | CodeCode Available | 0 | 5 |
| Consistent Sparse Deep Learning: Theory and Computation | Feb 25, 2021 | Deep LearningGeneralization Bounds | CodeCode Available | 0 | 5 |
| Consistent Structured Prediction with Max-Min Margin Markov Networks | Jul 2, 2020 | Binary ClassificationGeneralization Bounds | CodeCode Available | 0 | 5 |
| Learning Where to Learn: Training Distribution Selection for Provable OOD Performance | May 27, 2025 | Bilevel OptimizationGeneralization Bounds | CodeCode Available | 0 | 5 |
| Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures | Feb 19, 2024 | Generalization BoundsLearning Theory | CodeCode Available | 0 | 5 |
| Simplified and Unified Analysis of Various Learning Problems by Reduction to Multiple-Instance Learning | Nov 14, 2019 | Generalization BoundsMulti-Label Learning | CodeCode Available | 0 | 5 |
| Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability | Sep 27, 2022 | Generalization BoundsImage Retrieval | CodeCode Available | 0 | 5 |
| An adaptive nearest neighbor rule for classification | May 29, 2019 | ClassificationGeneral Classification | CodeCode Available | 0 | 5 |
| Minimum Description Length and Generalization Guarantees for Representation Learning | Feb 5, 2024 | Generalization BoundsRepresentation Learning | CodeCode Available | 0 | 5 |
| Estimating the Success of Unsupervised Image to Image Translation | Dec 21, 2017 | Generalization BoundsImage-to-Image Translation | CodeCode Available | 0 | 5 |
| Generalization Bounds for Heavy-Tailed SDEs through the Fractional Fokker-Planck Equation | Feb 12, 2024 | Generalization BoundsStochastic Optimization | CodeCode Available | 0 | 5 |
| An Algorithmic Framework for Fairness Elicitation | May 25, 2019 | FairnessGeneralization Bounds | CodeCode Available | 0 | 5 |
| Approximation and Learning with Deep Convolutional Models: a Kernel Perspective | Feb 19, 2021 | Additive modelsGeneralization Bounds | CodeCode Available | 0 | 5 |
| Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective | Jun 6, 2024 | Generalization BoundsIn-Context Learning | CodeCode Available | 0 | 5 |
| Double-Weighting for Covariate Shift Adaptation | May 15, 2023 | Generalization Bounds | CodeCode Available | 0 | 5 |
| Escaping the Curse of Dimensionality in Similarity Learning: Efficient Frank-Wolfe Algorithm and Generalization Bounds | Jul 20, 2018 | Generalization BoundsMetric Learning | CodeCode Available | 0 | 5 |
| Operator Learning for Schrödinger Equation: Unitarity, Error Bounds, and Time Generalization | May 23, 2025 | Generalization BoundsOperator learning | CodeCode Available | 0 | 5 |
| Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks | May 24, 2019 | Generalization Bounds | CodeCode Available | 0 | 5 |
| Diametrical Risk Minimization: Theory and Computations | Oct 24, 2019 | Generalization Bounds | CodeCode Available | 0 | 5 |
| Tighter Learning Guarantees on Digital Computers via Concentration of Measure on Finite Spaces | Feb 8, 2024 | Generalization Bounds | CodeCode Available | 0 | 5 |
| Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability | Feb 12, 2021 | Generalization BoundsMeta-Learning | CodeCode Available | 0 | 5 |
| Deep multi-Wasserstein unsupervised domain adaptation | Apr 30, 2019 | Domain AdaptationGeneralization Bounds | CodeCode Available | 0 | 5 |
| Adversarial Transform Particle Filters | Feb 10, 2025 | Generalization BoundsState Space Models | CodeCode Available | 0 | 5 |
| Random deep neural networks are biased towards simple functions | Dec 25, 2018 | General ClassificationGeneralization Bounds | CodeCode Available | 0 | 5 |
