Spencer Frei

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Peter BartlettProfessor, EECS and Statistics, UC BerkeleyGeverifieerd e-mailadres voor cs.berkeley.edu
Quanquan GuAssociate Professor of Computer Science, UCLAGeverifieerd e-mailadres voor cs.ucla.edu
Yuan CaoThe University of Hong KongGeverifieerd e-mailadres voor hku.hk
Gal VardiTTI-Chicago and Hebrew UniversityGeverifieerd e-mailadres voor ttic.edu
Nathan SrebroProfessor, TTIC and University of ChicagoGeverifieerd e-mailadres voor ttic.edu
Niladri S. ChatterjiPostdoctoral Researcher, Department of Computer Science, Stanford UniversityGeverifieerd e-mailadres voor cs.stanford.edu
Ruiqi ZhangPh.D. Student, Statistics Department at University of California, BerkeleyGeverifieerd e-mailadres voor berkeley.edu
Wei HuAssistant Professor of Computer Science and Engineering, University of MichiganGeverifieerd e-mailadres voor umich.edu
Difan ZouThe University of Hong KongGeverifieerd e-mailadres voor cs.hku.hk
Zixiang ChenGraduate Student of CS, UCLAGeverifieerd e-mailadres voor cs.ucla.edu
Edwin PerkinsProfessor of Mathematics, University of British ColumbiaGeverifieerd e-mailadres voor math.ubc.ca
Yutong WangPostdoctoral Research Fellow, University of MichiganGeverifieerd e-mailadres voor umich.edu
Zhiwei XuPhD student, University of MichiganGeverifieerd e-mailadres voor umich.edu
Burt S TilleyWorcester Polytechnic InstituteGeverifieerd e-mailadres voor wpi.edu
Bin YUProfessor of Statistics and EECS, UC BerkeleyGeverifieerd e-mailadres voor stat.berkeley.edu
Nikhil GhoshUniversity of California, BerkeleyGeverifieerd e-mailadres voor berkeley.edu
Wooseok HaUniversity of California, BerkeleyGeverifieerd e-mailadres voor berkeley.edu
Neil MallinarUC San DiegoGeverifieerd e-mailadres voor ucsd.edu

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Spencer Frei

UC Davis

Geverifieerd e-mailadres voor ucdavis.edu - Homepage

Machine Learning Statistics Optimization Large Language Models


Titel Sorteren op citaties Sorteren op jaar Sorteren op titel	Geciteerd door Geciteerd door	Jaar
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	73	2022
Trained Transformers Learn Linear Models In-Context R Zhang, S Frei, PL Bartlett Journal of Machine Learning Research 25 (49), 2024	67	2024
Agnostic Learning of a Single Neuron with Gradient Descent S Frei, Y Cao, Q Gu Advances in Neural Information Processing Systems (NeurIPS), 2020	55	2020
Algorithm-dependent generalization bounds for overparameterized deep residual networks S Frei, Y Cao, Q Gu Advances in Neural Information Processing Systems (NeurIPS), 2019	36	2019
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	27	2023
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	25	2021
Random Feature Amplification: Feature Learning and Generalization in Neural Networks S Frei, NS Chatterji, PL Bartlett Journal of Machine Learning Research 24 (303), 2023	21	2023
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	19	2021
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	18	2023
Agnostic Learning of Halfspaces with Gradient Descent via Soft Margins S Frei, Y Cao, Q Gu International Conference on Machine Learning (ICML), 2021	18	2021
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	17	2022
Provable Robustness of Adversarial Training for Learning Halfspaces with Noise D Zou, S Frei, Q Gu International Conference on Machine Learning (ICML), 2021	13	2021
A lower bound for in range- bond percolation in two and three dimensions S Frei, E Perkins Electronic Journal of Probability 21, 2016	11	2016
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	9	2024
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	9	2020
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	8	2023
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	4	2014
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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