An agnostic approach to federated learning with class imbalance Z Shen, J Cervino, H Hassani, A Ribeiro International Conference on Learning Representations, 2021 | 51 | 2021 |
Learning by Transference: Training Graph Neural Networks on Growing Graphs J Cervino, L Ruiz, A Ribeiro IEEE Transactions on Signal Processing 71, 233-247, 2023 | 14* | 2023 |
Training stable graph neural networks through constrained learning J Cerviño, L Ruiz, A Ribeiro ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 9 | 2022 |
Multi-task Reinforcement Learning in Reproducing Kernel Hilbert Spaces via Cross-learning J Cervino, JA Bazerque, M Calvo-Fullana, A Ribeiro IEEE Transactions on Signal Processing 69, 5947 - 5962, 2021 | 7 | 2021 |
Meta-learning through coupled optimization in reproducing kernel hilbert spaces J Cerviño, JA Bazerque, M Calvo-Fullana, A Ribeiro 2019 American Control Conference (ACC), 4840-4846, 2019 | 4 | 2019 |
Training graph neural networks on growing stochastic graphs J Cervino, L Ruiz, A Ribeiro ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 3 | 2023 |
Learning globally smooth functions on manifolds J Cervino, LFO Chamon, BD Haeffele, R Vidal, A Ribeiro International Conference on Machine Learning, 3815-3854, 2023 | 2 | 2023 |
Multi-task Supervised Learning via Cross-learning J Cervino, JA Bazerque, M Calvo-Fullana, A Ribeiro 2021 29th European Signal Processing Conference (EUSIPCO), 2020 | 2 | 2020 |
A Manifold Perspective on the Statistical Generalization of Graph Neural Networks Z Wang, J Cervino, A Ribeiro arXiv preprint arXiv:2406.05225, 2024 | 1 | 2024 |
FastSample: Accelerating Distributed Graph Neural Network Training for Billion-Scale Graphs H Mostafa, A Grabowski, MA Turja, J Cervino, A Ribeiro, N Himayat arXiv preprint arXiv:2311.17847, 2023 | 1 | 2023 |
Intrinsically motivated graph exploration using network theories of human curiosity SP Patankar, M Ouellet, J Cervino, A Ribeiro, KA Murphy, DS Bassett Learning on Graphs Conference 2023, 2023 | 1 | 2023 |
Multi-Task Bias-Variance Trade-Off Through Functional Constraints J Cerviño, JA Bazerque, M Calvo-Fullana, A Ribeiro ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
Federated Representation Learning via Maximal Coding Rate Reduction J Cervino, N NaderiAlizadeh, A Ribeiro arXiv preprint arXiv:2210.00299, 2022 | | 2022 |
Parameter Critic: a Model Free Variance Reduction Method Through Imperishable Samples J Cervino, H Kumar, A Ribeiro arXiv preprint arXiv:2009.13668, 2020 | | 2020 |