Ryan Theisen
Ryan Theisen
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Taxonomizing local versus global structure in neural network loss landscapes
Y Yang, L Hodgkinson, R Theisen, J Zou, JE Gonzalez, K Ramchandran, ...
Advances in Neural Information Processing Systems 34, 18722-18733, 2021
Deterministic versus stochastic consensus dynamics on graphs
D Weber, R Theisen, S Motsch
Journal of Statistical Physics 176, 40-68, 2019
Asymptotic flocking for the three-zone model
F Cao, S Motsch, A Reamy, R Theisen
Mathematical Biosciences and Engineering 17 (6), 7692-7707, 2020
Good classifiers are abundant in the interpolating regime
R Theisen, J Klusowski, M Mahoney
International Conference on Artificial Intelligence and Statistics, 3376-3384, 2021
Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data
Y Yang, R Theisen, L Hodgkinson, JE Gonzalez, K Ramchandran, ...
arXiv preprint arXiv:2202.02842, 2022
Evaluating State-of-the-Art Classification Models Against Bayes Optimality
R Theisen, H Wang, LR Varshney, C Xiong, R Socher
Advances in Neural Information Processing Systems 34, 2021
Global capacity measures for deep relu networks via path sampling
R Theisen, JM Klusowski, H Wang, NS Keskar, C Xiong, R Socher
arXiv preprint arXiv:1910.10245, 2019
When are ensembles really effective?
R Theisen, H Kim, Y Yang, L Hodgkinson, MW Mahoney
arXiv preprint arXiv:2305.12313, 2023
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