| Minimax Classification with 0-1 Loss and Performance Guarantees | Oct 15, 2020 | ClassificationGeneral Classification | CodeCode Available | 1 |
| Effective Sample Size, Dimensionality, and Generalization in Covariate Shift Adaptation | Oct 2, 2020 | Dimensionality ReductionDomain Adaptation | CodeCode Available | 1 |
| Generalization Guarantees for Imitation Learning | Aug 5, 2020 | Generalization BoundsImitation Learning | CodeCode Available | 1 |
| Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality | Aug 2, 2020 | Generalization BoundsTime Series | CodeCode Available | 1 |
| Learning Robust State Abstractions for Hidden-Parameter Block MDPs | Jul 14, 2020 | Generalization BoundsMeta Reinforcement Learning | CodeCode Available | 1 |
| Debiased Contrastive Learning | Jul 1, 2020 | Contrastive LearningGeneralization Bounds | CodeCode Available | 1 |
| Improving Generalization by Controlling Label-Noise Information in Neural Network Weights | Feb 19, 2020 | Data AugmentationGeneralization Bounds | CodeCode Available | 1 |
| PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees | Feb 13, 2020 | Gaussian ProcessesGeneralization Bounds | CodeCode Available | 1 |
| PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction | Dec 31, 2019 | Generalization BoundsLearning Theory | CodeCode Available | 1 |
| Bridging Theory and Algorithm for Domain Adaptation | Apr 11, 2019 | Domain AdaptationGeneralization Bounds | CodeCode Available | 1 |
| On PAC-Bayesian Bounds for Random Forests | Oct 23, 2018 | Generalization Bounds | CodeCode Available | 1 |
| Optimal Auctions through Deep Learning: Advances in Differentiable Economics | Jun 12, 2017 | Deep LearningGeneralization Bounds | CodeCode Available | 1 |
| Estimating individual treatment effect: generalization bounds and algorithms | Jun 13, 2016 | Causal InferenceGeneralization Bounds | CodeCode Available | 1 |
| Deep Learning and the Information Bottleneck Principle | Mar 9, 2015 | Deep LearningGeneralization Bounds | CodeCode Available | 1 |
| Information-Theoretic Generalization Bounds of Replay-based Continual Learning | Jul 16, 2025 | Continual LearningGeneralization Bounds | —Unverified | 0 |
| Tuning without Peeking: Provable Privacy and Generalization Bounds for LLM Post-Training | Jul 2, 2025 | Data PoisoningGeneralization Bounds | —Unverified | 0 |
| Tight Generalization Error Bounds for Stochastic Gradient Descent in Non-convex Learning | Jun 23, 2025 | Generalization Bounds | —Unverified | 0 |
| Sharp Generalization Bounds for Foundation Models with Asymmetric Randomized Low-Rank Adapters | Jun 17, 2025 | Generalization Boundsparameter-efficient fine-tuning | —Unverified | 0 |
| Stability Analysis of Physics-Informed Neural Networks via Variational Coercivity, Perturbation Bounds, and Concentration Estimates | Jun 16, 2025 | Generalization Bounds | —Unverified | 0 |
| Fairness Overfitting in Machine Learning: An Information-Theoretic Perspective | Jun 9, 2025 | FairnessGeneralization Bounds | —Unverified | 0 |
| Neural Drift Estimation for Ergodic Diffusions: Non-parametric Analysis and Numerical Exploration | May 30, 2025 | Generalization Bounds | —Unverified | 0 |
| Epistemic Errors of Imperfect Multitask Learners When Distributions Shift | May 29, 2025 | AttributeGeneralization Bounds | —Unverified | 0 |
| Learning Where to Learn: Training Distribution Selection for Provable OOD Performance | May 27, 2025 | Bilevel OptimizationGeneralization Bounds | CodeCode Available | 0 |
| Operator Learning for Schrödinger Equation: Unitarity, Error Bounds, and Time Generalization | May 23, 2025 | Generalization BoundsOperator learning | CodeCode Available | 0 |
| Fast Rate Bounds for Multi-Task and Meta-Learning with Different Sample Sizes | May 21, 2025 | Generalization BoundsMeta-Learning | —Unverified | 0 |
