| On the Sample Complexity of Imitation Learning for Smoothed Model Predictive Control | Jun 2, 2023 | Imitation LearningLearning Theory | —Unverified | 0 |
| Improving Energy Conserving Descent for Machine Learning: Theory and Practice | Jun 1, 2023 | Learning Theory | CodeCode Available | 0 |
| Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability | May 31, 2023 | Binary ClassificationClassification | —Unverified | 0 |
| Benign Overfitting in Deep Neural Networks under Lazy Training | May 30, 2023 | Learning Theory | —Unverified | 0 |
| Embedding Inequalities for Barron-type Spaces | May 30, 2023 | Learning Theory | —Unverified | 0 |
| Improving Generalization of Complex Models under Unbounded Loss Using PAC-Bayes Bounds | May 30, 2023 | Learning Theory | —Unverified | 0 |
| How many samples are needed to leverage smoothness? | May 25, 2023 | Learning Theory | —Unverified | 0 |
| Data-driven Mixed Integer Optimization through Probabilistic Multi-variable Branching | May 21, 2023 | Learning Theory | —Unverified | 0 |
| Uniform-in-Time Wasserstein Stability Bounds for (Noisy) Stochastic Gradient Descent | May 20, 2023 | Generalization BoundsLearning Theory | —Unverified | 0 |
| How Spurious Features Are Memorized: Precise Analysis for Random and NTK Features | May 20, 2023 | Learning TheoryMemorization | CodeCode Available | 0 |
| Supervised learning with probabilistic morphisms and kernel mean embeddings | May 10, 2023 | Learning Theory | —Unverified | 0 |
| Learnability with Time-Sharing Computational Resource Concerns | May 3, 2023 | Learning TheoryScheduling | —Unverified | 0 |
| The ART of Transfer Learning: An Adaptive and Robust Pipeline | Apr 30, 2023 | Learning TheorySparse Learning | —Unverified | 0 |
| Optimal PAC Bounds Without Uniform Convergence | Apr 18, 2023 | Binary ClassificationClassification | —Unverified | 0 |
| Challenges of learning multi-scale dynamics with AI weather models: Implications for stability and one solution | Apr 14, 2023 | Decision MakingDeep Learning | CodeCode Available | 0 |
| Depth Separation with Multilayer Mean-Field Networks | Apr 3, 2023 | Learning Theory | —Unverified | 0 |
| Bayesian Free Energy of Deep ReLU Neural Network in Overparametrized Cases | Mar 28, 2023 | Learning Theory | —Unverified | 0 |
| Type-II Saddles and Probabilistic Stability of Stochastic Gradient Descent | Mar 23, 2023 | Learning Theory | —Unverified | 0 |
| Uniform Risk Bounds for Learning with Dependent Data Sequences | Mar 21, 2023 | Learning Theory | —Unverified | 0 |
| Lower Generalization Bounds for GD and SGD in Smooth Stochastic Convex Optimization | Mar 19, 2023 | Generalization BoundsLearning Theory | —Unverified | 0 |
| Distribution-free Deviation Bounds and The Role of Domain Knowledge in Learning via Model Selection with Cross-validation Risk Estimation | Mar 15, 2023 | Learning TheoryModel Selection | —Unverified | 0 |
| ERUDITE: Human-in-the-Loop IoT for an Adaptive Personalized Learning System | Mar 7, 2023 | Learning Theory | —Unverified | 0 |
| Margin theory for the scenario-based approach to robust optimization in high dimension | Mar 7, 2023 | Learning Theory | —Unverified | 0 |
| Near Optimal Memory-Regret Tradeoff for Online Learning | Mar 3, 2023 | Learning Theory | —Unverified | 0 |
| Learning curves for deep structured Gaussian feature models | Mar 1, 2023 | Learning Theory | —Unverified | 0 |