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Spencer Frei
Spencer Frei
Postdoctoral Researcher, UC Berkeley
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Agnostic Learning of a Single Neuron with Gradient Descent
S Frei, Y Cao, Q Gu
Advances in Neural Information Processing Systems (NeurIPS), 2020
302020
Algorithm-dependent generalization bounds for overparameterized deep residual networks
S Frei, Y Cao, Q Gu
Advances in Neural Information Processing Systems (NeurIPS), 2019
242019
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
102022
Agnostic Learning of Halfspaces with Gradient Descent via Soft Margins
S Frei, Y Cao, Q Gu
International Conference on Machine Learning (ICML), 2021
102021
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
92021
Provable Robustness of Adversarial Training for Learning Halfspaces with Noise
D Zou, S Frei, Q Gu
International Conference on Machine Learning (ICML), 2021
82021
A lower bound for in range- bond percolation in two and three dimensions
S Frei, E Perkins
Electronic Journal of Probability 21, 2016
82016
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
62022
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
42021
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
Random Feature Amplification: Feature Learning and Generalization in Neural Networks
S Frei, NS Chatterji, PL Bartlett
arXiv preprint arXiv:2202.07626, 2022
32022
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
32020
Statistical Learning with Neural Networks Trained by Gradient Descent
S Frei
UCLA, 2021
2021
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Articles 1–13