Ryan Theisen

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 12

Top Topics

Classification Models

Linear Classifiers

Top Venues

Publications

Yaoqing Yang, Ryan Theisen, Liam Hodgkinson, Joseph E. Gonzalez, Kannan Ramchandran, Charles H. Martin, Michael W. Mahoney
Test Accuracy vs. Generalization Gap: Model Selection in NLP without Accessing Training or Testing Data. KDD (2023)
Ryan Theisen, Hyunsuk Kim, Yaoqing Yang, Liam Hodgkinson, Michael W. Mahoney
When are ensembles really effective? CoRR (2023)
Ryan Theisen, Hyunsuk Kim, Yaoqing Yang, Liam Hodgkinson, Michael W. Mahoney
When are ensembles really effective? NeurIPS (2023)
Ryan Park, Ryan Theisen, Navriti Sahni, Marcel Patek, Anna Cichonska, Rayees Rahman
Preference Optimization for Molecular Language Models. CoRR (2023)
Yaoqing Yang, Ryan Theisen, Liam Hodgkinson, Joseph E. Gonzalez, Kannan Ramchandran, Charles H. Martin, Michael W. Mahoney
Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data. CoRR (2022)
Yaoqing Yang, Liam Hodgkinson, Ryan Theisen, Joe Zou, Joseph E. Gonzalez, Kannan Ramchandran, Michael W. Mahoney
Taxonomizing local versus global structure in neural network loss landscapes. CoRR (2021)
Ryan Theisen, Huan Wang, Lav R. Varshney, Caiming Xiong, Richard Socher
Evaluating State-of-the-Art Classification Models Against Bayes Optimality. CoRR (2021)
Yaoqing Yang, Liam Hodgkinson, Ryan Theisen, Joe Zou, Joseph E. Gonzalez, Kannan Ramchandran, Michael W. Mahoney
Taxonomizing local versus global structure in neural network loss landscapes. NeurIPS (2021)
Ryan Theisen, Huan Wang, Lav R. Varshney, Caiming Xiong, Richard Socher
Evaluating State-of-the-Art Classification Models Against Bayes Optimality. NeurIPS (2021)
Ryan Theisen, Jason M. Klusowski, Michael W. Mahoney
Good Classifiers are Abundant in the Interpolating Regime. AISTATS (2021)
Ryan Theisen, Jason M. Klusowski, Michael W. Mahoney
Good linear classifiers are abundant in the interpolating regime. CoRR (2020)
Ryan Theisen, Jason M. Klusowski, Huan Wang, Nitish Shirish Keskar, Caiming Xiong, Richard Socher
Global Capacity Measures for Deep ReLU Networks via Path Sampling. CoRR (2019)