news
| Sep 2025 | Fast Rate Bounds for Multi-Task and Meta-Learning with Different Sample Sizes got accepted to NeurIPS 2025. |
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| May 2025 | A new preprint Federated Learning with Unlabeled Clients: Personalization Can Happen in Low Dimensions is on Arxiv. |
| Jan 2025 | A new preprint Deep Multi-Task Learning Has Low Amortized Intrinsic Dimensionality is on Arxiv. |
| May 2024 | More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms got accepted to ICML 2024. |
| Jan 2024 | Communication-Efficient Federated Learning With Data and Client Heterogeneity got accepted to AISTATS 2024. |
| Jan 2024 | PeFLL: Personalized Federated Learning by Learning to Learn got accepted to ICLR 2024. |