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| Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework | Jun 1, 2024 | DecoderDistributed Computing | —Unverified | 0 |
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| Dual VC Dimension Obstructs Sample Compression by Embeddings | May 27, 2024 | Learning Theory | —Unverified | 0 |
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| A Contextual Online Learning Theory of Brokerage | May 22, 2024 | Learning Theory | —Unverified | 0 |
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| 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 |
| 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 |
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| Towards a Formal Creativity Theory: Preliminary results in Novelty and Transformativeness | May 3, 2024 | Learning Theory | —Unverified | 0 |
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| Error Exponent in Agnostic PAC Learning | May 1, 2024 | Binary ClassificationKnowledge Distillation | —Unverified | 0 |
