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Ryan Theisen
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2020 – today
- 2024
- [c6]Hyunsuk Kim, Liam Hodgkinson, Ryan Theisen, Michael W. Mahoney:
How many classifiers do we need? NeurIPS 2024 - [i8]Hyunsuk Kim, Liam Hodgkinson, Ryan Theisen, Michael W. Mahoney:
How many classifiers do we need? CoRR abs/2411.00328 (2024) - 2023
- [c5]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: 3011-3021 - [c4]Ryan Theisen, Hyunsuk Kim, Yaoqing Yang, Liam Hodgkinson, Michael W. Mahoney:
When are ensembles really effective? NeurIPS 2023 - [i7]Ryan Theisen, Hyunsuk Kim, Yaoqing Yang, Liam Hodgkinson, Michael W. Mahoney:
When are ensembles really effective? CoRR abs/2305.12313 (2023) - [i6]Ryan Park, Ryan Theisen, Navriti Sahni, Marcel Patek, Anna Cichonska, Rayees Rahman:
Preference Optimization for Molecular Language Models. CoRR abs/2310.12304 (2023) - 2022
- [i5]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 abs/2202.02842 (2022) - 2021
- [c3]Ryan Theisen, Jason M. Klusowski, Michael W. Mahoney:
Good Classifiers are Abundant in the Interpolating Regime. AISTATS 2021: 3376-3384 - [c2]Ryan Theisen, Huan Wang, Lav R. Varshney, Caiming Xiong, Richard Socher:
Evaluating State-of-the-Art Classification Models Against Bayes Optimality. NeurIPS 2021: 9367-9377 - [c1]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: 18722-18733 - [i4]Ryan Theisen, Huan Wang, Lav R. Varshney, Caiming Xiong, Richard Socher:
Evaluating State-of-the-Art Classification Models Against Bayes Optimality. CoRR abs/2106.03357 (2021) - [i3]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 abs/2107.11228 (2021) - 2020
- [i2]Ryan Theisen, Jason M. Klusowski, Michael W. Mahoney:
Good linear classifiers are abundant in the interpolating regime. CoRR abs/2006.12625 (2020) - no results
2010 – 2019
- 2019
- [i1]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 abs/1910.10245 (2019) - no results
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