Julian Asilis

Orcid: 0000-0002-7047-3861

According to our database1, Julian Asilis authored at least 10 papers between 2021 and 2025.

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Bibliography

2025
On Agnostic PAC Learning in the Small Error Regime.
CoRR, February, 2025

Local Regularizers Are Not Transductive Learners.
CoRR, February, 2025

Understanding Aggregations of Proper Learners in Multiclass Classification.
Proceedings of the International Conference on Algorithmic Learning Theory, 2025

Proper Learnability and the Role of Unlabeled Data.
Proceedings of the International Conference on Algorithmic Learning Theory, 2025

2024
Learnability is a Compact Property.
CoRR, 2024

Transductive Learning is Compact.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Open Problem: Can Local Regularization Learn All Multiclass Problems?
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

Regularization and Optimal Multiclass Learning.
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2022
Computable PAC Learning of Continuous Features.
Proceedings of the LICS '22: 37th Annual ACM/IEEE Symposium on Logic in Computer Science, Haifa, Israel, August 2, 2022

2021
On computable learning of continuous features.
CoRR, 2021


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