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Alberto Bietti
Alberto Bietti
Flatiron Institute, Simons Foundation
Dirección de correo verificada de nyu.edu - Página principal
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Año
On the Inductive Bias of Neural Tangent Kernels
A Bietti, J Mairal
Advances in Neural Information Processing Systems (NeurIPS), 2019
3152019
A Contextual Bandit Bake-off
A Bietti, A Agarwal, J Langford
Journal of Machine Learning Research 22 (133), 1-49, 2021
1582021
Group Invariance, Stability to Deformations, and Complexity of Deep Convolutional Representations
A Bietti, J Mairal
Journal of Machine Learning Research 20 (25), 1-49, 2019
1282019
Deep Equals Shallow for ReLU Networks in Kernel Regimes
A Bietti, F Bach
International Conference on Learning Representations (ICLR), 2021
1042021
Convergence and Stability of Graph Convolutional Networks on Large Random Graphs
N Keriven, A Bietti, S Vaiter
Advances in Neural Information Processing Systems (NeurIPS), 2020
1042020
Learning Single-Index Models with Shallow Neural Networks
A Bietti, J Bruna, C Sanford, MJ Song
Advances in Neural Information Processing Systems (NeurIPS), 2022
952022
A Kernel Perspective for Regularizing Deep Neural Networks
A Bietti, G Mialon, D Chen, J Mairal
International Conference on Machine Learning (ICML), 2019
95*2019
When does return-conditioned supervised learning work for offline reinforcement learning?
D Brandfonbrener, A Bietti, J Buckman, R Laroche, J Bruna
Advances in Neural Information Processing Systems (NeurIPS), 2022
882022
Birth of a Transformer: A Memory Viewpoint
A Bietti, V Cabannes, D Bouchacourt, H Jegou, L Bottou
Advances in Neural Information Processing Systems (NeurIPS), 2023
812023
On the Sample Complexity of Learning under Invariance and Geometric Stability
A Bietti, L Venturi, J Bruna
Advances in Neural Information Processing Systems (NeurIPS), 2021
72*2021
Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning
A Bietti, CY Wei, M Dudik, J Langford, S Wu
International Conference on Machine Learning (ICML), 2022
592022
Multiple Physics Pretraining for Physical Surrogate Models
M McCabe, BRS Blancard, LH Parker, R Ohana, M Cranmer, A Bietti, ...
Advances in Neural Information Processing Systems (NeurIPS), 2024
56*2024
xVal: A Continuous Number Encoding for Large Language Models
S Golkar, M Pettee, M Eickenberg, A Bietti, M Cranmer, G Krawezik, ...
arXiv preprint arXiv:2310.02989, 2023
552023
On Learning Gaussian Multi-index Models with Gradient Flow
A Bietti, J Bruna, L Pillaud-Vivien
arXiv preprint arXiv:2310.19793, 2023
452023
Invariance and Stability of Deep Convolutional Representations
A Bietti, J Mairal
Advances in Neural Information Processing Systems (NIPS), 2017
452017
Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite-Sum Structure
A Bietti, J Mairal
Advances in Neural Information Processing Systems (NIPS), 2017
392017
The SSL Interplay: Augmentations, Inductive Bias, and Generalization
V Cabannes, BT Kiani, R Balestriero, Y LeCun, A Bietti
International Conference on Machine Learning (ICML), 2023
382023
On the Universality of Graph Neural Networks on Large Random Graphs
N Keriven, A Bietti, S Vaiter
Advances in Neural Information Processing Systems (NeurIPS), 2021
352021
An online EM algorithm in hidden (semi-) Markov models for audio segmentation and clustering
A Bietti, F Bach, A Cont
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2015
332015
Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models
F Kunstner, R Yadav, A Milligan, M Schmidt, A Bietti
Advances in Neural Information Processing Systems (NeurIPS), 2024
322024
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Artículos 1–20