| Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework | Jun 1, 2024 | DecoderDistributed Computing | —Unverified | 0 |
| Review and Prospect of Algebraic Research in Equivalent Framework between Statistical Mechanics and Machine Learning Theory | May 31, 2024 | Learning Theory | —Unverified | 0 |
| Weak Robust Compatibility Between Learning Algorithms and Counterfactual Explanation Generation Algorithms | May 31, 2024 | counterfactualCounterfactual Explanation | —Unverified | 0 |
| Occam Gradient Descent | May 30, 2024 | image-classificationImage Classification | CodeCode Available | 0 |
| Scaling Laws for the Value of Individual Data Points in Machine Learning | May 30, 2024 | Data ValuationLearning Theory | CodeCode Available | 0 |
| Beyond Discrepancy: A Closer Look at the Theory of Distribution Shift | May 29, 2024 | Learning Theory | —Unverified | 0 |
| MODL: Multilearner Online Deep Learning | May 28, 2024 | Deep LearningLearning Theory | CodeCode Available | 0 |
| Unveiling the Cycloid Trajectory of EM Iterations in Mixed Linear Regression | May 28, 2024 | Interpretable Machine LearningLearning Theory | CodeCode Available | 0 |
| Dual VC Dimension Obstructs Sample Compression by Embeddings | May 27, 2024 | Learning Theory | —Unverified | 0 |
| Is Algorithmic Stability Testable? A Unified Framework under Computational Constraints | May 23, 2024 | Learning Theoryvalid | —Unverified | 0 |
| A Contextual Online Learning Theory of Brokerage | May 22, 2024 | Learning Theory | —Unverified | 0 |
| Learning Regularities from Data using Spiking Functions: A Theory | May 19, 2024 | Learning Theory | —Unverified | 0 |
| Preparing for Black Swans: The Antifragility Imperative for Machine Learning | May 18, 2024 | Continual LearningDecision Making | —Unverified | 0 |
| Using Degeneracy in the Loss Landscape for Mechanistic Interpretability | May 17, 2024 | Learning Theory | —Unverified | 0 |
| Nonparametric Control Koopman Operators | May 12, 2024 | Learning TheoryModel Predictive Control | —Unverified | 0 |
| Robust Semi-supervised Learning by Wisely Leveraging Open-set Data | May 11, 2024 | Learning Theory | —Unverified | 0 |
| Is Transductive Learning Equivalent to PAC Learning? | May 8, 2024 | Binary ClassificationLearning Theory | —Unverified | 0 |
| Data-Error Scaling in Machine Learning on Natural Discrete Combinatorial Mutation-prone Sets: Case Studies on Peptides and Small Molecules | May 8, 2024 | Learning Theory | CodeCode Available | 0 |
| Towards a Formal Creativity Theory: Preliminary results in Novelty and Transformativeness | May 3, 2024 | Learning Theory | —Unverified | 0 |
| Position: Understanding LLMs Requires More Than Statistical Generalization | May 3, 2024 | In-Context LearningLearning Theory | CodeCode Available | 0 |
| Barren Plateaus in Variational Quantum Computing | May 1, 2024 | Learning TheoryTensor Networks | —Unverified | 0 |
| Error Exponent in Agnostic PAC Learning | May 1, 2024 | Binary ClassificationKnowledge Distillation | —Unverified | 0 |
| Research on geometric figure classification algorithm based on Deep Learning | Apr 25, 2024 | Deep LearningLearning Theory | —Unverified | 0 |
| Data-Driven Performance Guarantees for Classical and Learned Optimizers | Apr 22, 2024 | Learning TheoryMeta-Learning | CodeCode Available | 0 |
| Generalization Error Bounds for Learning under Censored Feedback | Apr 14, 2024 | Learning TheoryRecommendation Systems | —Unverified | 0 |