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Spencer Frei
Spencer Frei
Adresă de e-mail confirmată pe ucdavis.edu - Pagina de pornire
Titlu
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Benign Overfitting without Linearity: Neural Network Classifiers Trained by Gradient Descent for Noisy Linear Data
S Frei, NS Chatterji, PL Bartlett
Conference on Learning Theory (COLT), 2022
732022
Trained Transformers Learn Linear Models In-Context
R Zhang, S Frei, PL Bartlett
Journal of Machine Learning Research 25 (49), 2024
682024
Agnostic Learning of a Single Neuron with Gradient Descent
S Frei, Y Cao, Q Gu
Advances in Neural Information Processing Systems (NeurIPS), 2020
552020
Algorithm-dependent generalization bounds for overparameterized deep residual networks
S Frei, Y Cao, Q Gu
Advances in Neural Information Processing Systems (NeurIPS), 2019
362019
Implicit Bias in Leaky ReLU Networks Trained on High-Dimensional Data
S Frei, G Vardi, PL Bartlett, N Srebro, W Hu
International Conference on Learning Representations (ICLR), 2023
272023
Proxy Convexity: A Unified Framework for the Analysis of Neural Networks Trained by Gradient Descent
S Frei, Q Gu
Advances in Neural Information Processing Systems (NeurIPS), 2021
252021
Random Feature Amplification: Feature Learning and Generalization in Neural Networks
S Frei, NS Chatterji, PL Bartlett
Journal of Machine Learning Research 24 (303), 2023
222023
Provable Generalization of SGD-trained Neural Networks of Any Width in the Presence of Adversarial Label Noise
S Frei, Y Cao, Q Gu
International Conference on Machine Learning (ICML), 2021
192021
Benign Overfitting in Linear Classifiers and Leaky ReLU Networks from KKT Conditions for Margin Maximization
S Frei, G Vardi, PL Bartlett, N Srebro
Conference on Learning Theory (COLT), 2023
182023
Self-training converts weak learners to strong learners in mixture models
S Frei, D Zou, Z Chen, Q Gu
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
182022
Agnostic Learning of Halfspaces with Gradient Descent via Soft Margins
S Frei, Y Cao, Q Gu
International Conference on Machine Learning (ICML), 2021
182021
Provable Robustness of Adversarial Training for Learning Halfspaces with Noise
D Zou, S Frei, Q Gu
International Conference on Machine Learning (ICML), 2021
132021
A lower bound for in range- bond percolation in two and three dimensions
S Frei, E Perkins
Electronic Journal of Probability 21, 2016
112016
Benign Overfitting and Grokking in ReLU Networks for XOR Cluster Data
Z Xu, Y Wang, S Frei, G Vardi, W Hu
International Conference on Learning Representations (ICLR), 2024
102024
Hemodynamic latency is associated with reduced intelligence across the lifespan: an fMRI DCM study of aging, cerebrovascular integrity, and cognitive ability.
AE Anderson, M Diaz‑Santos, S Frei, BH Dang, P Kaur, P Lyden, ...
Brain Structure & Function, 2020
92020
The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU Networks
S Frei, G Vardi, PL Bartlett, N Srebro
Advances in Neural Information Processing Systems (NeurIPS), 2023
82023
On thermal resistance in concentric residential geothermal heat exchangers
S Frei, K Lockwood, G Stewart, J Boyer, BS Tilley
Journal of Engineering Mathematics 86 (1), 103-124, 2014
42014
Minimum-Norm Interpolation Under Covariate Shift
N Mallinar, A Zane, S Frei, B Yu
arXiv preprint arXiv:2404.00522, 2024
2024
The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning
N Ghosh, S Frei, W Ha, B Yu
arXiv preprint arXiv:2308.03215, 2023
2023
Statistical Learning with Neural Networks Trained by Gradient Descent
S Frei
UCLA, 2021
2021
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