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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
2632019
A Contextual Bandit Bake-off
A Bietti, A Agarwal, J Langford
Journal of Machine Learning Research 22 (133), 1-49, 2021
131*2021
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
1122019
A Kernel Perspective for Regularizing Deep Neural Networks
A Bietti, G Mialon, D Chen, J Mairal
International Conference on Machine Learning (ICML), 2019
93*2019
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
832020
Deep Equals Shallow for ReLU Networks in Kernel Regimes
A Bietti, F Bach
International Conference on Learning Representations (ICLR), 2021
812021
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
612022
Learning Single-Index Models with Shallow Neural Networks
A Bietti, J Bruna, C Sanford, MJ Song
Advances in Neural Information Processing Systems (NeurIPS), 2022
602022
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
53*2021
Invariance and Stability of Deep Convolutional Representations
A Bietti, J Mairal
Advances in Neural Information Processing Systems (NIPS), 2017
432017
Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite-Sum Structure
A Bietti, J Mairal
Advances in Neural Information Processing Systems (NIPS), 2017
412017
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
34*2022
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
322015
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
292023
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
262021
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
242023
Active learning for object detection on satellite images
A Bietti
Technical report, Technical report, Caltech, 2012
212012
Approximation and Learning with Deep Convolutional Models: a Kernel Perspective
A Bietti
International Conference on Learning Representations (ICLR), 2022
202022
Multiple Physics Pretraining for Physical Surrogate Models
M McCabe, BRS Blancard, LH Parker, R Ohana, M Cranmer, A Bietti, ...
arXiv preprint arXiv:2310.02994, 2023
162023
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
132023
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Artículos 1–20