Showing results 1 to 11 of 11
Title | Author(s) | Issue Date | |
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Data-Dependent Generalization Bounds for Multi-Class Classification Journal:IEEE Transactions on Information Theory | 2019 | ||
Fine-grained Generalisation Analysis of Inductive Matrix Completion Proceeding/Conference:Advances in Neural Information Processing Systems | 2021 | ||
Fine-grained Generalization Analysis of Structured Output Prediction Proceeding/Conference:IJCAI International Joint Conference on Artificial Intelligence | 2021 | ||
Fine-grained Generalization Analysis of Vector-valued Learning Proceeding/Conference:35th AAAI Conference on Artificial Intelligence, AAAI 2021 | 2021 | ||
Learning Interpretable Concept Groups in CNNs Proceeding/Conference:IJCAI International Joint Conference on Artificial Intelligence | 2021 | ||
Local rademacher complexity-based learning guarantees for multi-task learning Journal:Journal of Machine Learning Research | 2018 | ||
Localized multiple kernel learning|A convex approach Proceeding/Conference:Journal of Machine Learning Research | 2016 | ||
Multi-class SVMs: From tighter data-dependent generalization bounds to novel algorithms Proceeding/Conference:Advances in Neural Information Processing Systems | 2015 | ||
Norm-Based Generalisation Bounds for Deep Multi-Class Convolutional Neural Networks Proceeding/Conference:35th AAAI Conference on Artificial Intelligence, AAAI 2021 | 2021 | ||
On the Generalization Analysis of Adversarial Learning Proceeding/Conference:Proceedings of Machine Learning Research | 2022 | ||
Sharper generalization bounds for pairwise learning Proceeding/Conference:Advances in Neural Information Processing Systems | 2020 |