Tyler Sypherd

According to our database, Tyler Sypherd authored at least 10 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Smoothly Giving up: Robustness for Simple Models.

Tyler Sypherd, Nathaniel Stromberg, Richard Nock, Visar Berisha, Lalitha Sankar

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

A Tunable Loss Function for Robust Classification: Calibration, Landscape, and Generalization.

Tyler Sypherd, Mario Díaz, John Kevin Cava, Gautam Dasarathy, Peter Kairouz, Lalitha Sankar

IEEE Trans. Inf. Theory, 2022

AugLoss: A Learning Methodology for Real-World Dataset Corruption.

Kyle Otstot, John Kevin Cava, Tyler Sypherd, Lalitha Sankar

CoRR, 2022

α-GAN: Convergence and Estimation Guarantees.

Gowtham R. Kurri, Monica Welfert, Tyler Sypherd, Lalitha Sankar

Proceedings of the IEEE International Symposium on Information Theory, 2022

Being Properly Improper.

Tyler Sypherd, Richard Nock, Lalitha Sankar

Proceedings of the International Conference on Machine Learning, 2022

2021

Realizing GANs via a Tunable Loss Function.

Gowtham R. Kurri, Tyler Sypherd, Lalitha Sankar

Proceedings of the IEEE Information Theory Workshop, 2021

2020

On the alpha-loss Landscape in the Logistic Model.

Tyler Sypherd, Mario Díaz, Lalitha Sankar, Gautam Dasarathy

CoRR, 2020

On the α-loss Landscape in the Logistic Model.

Tyler Sypherd, Mario Díaz, Lalitha Sankar, Gautam Dasarathy

Proceedings of the IEEE International Symposium on Information Theory, 2020

2019

A Tunable Loss Function for Classification.

Tyler Sypherd, Mario Díaz, Harshit Laddha, Lalitha Sankar, Peter Kairouz, Gautam Dasarathy

CoRR, 2019

A Tunable Loss Function for Binary Classification.

Tyler Sypherd, Mario Díaz, Lalitha Sankar, Peter Kairouz

Proceedings of the IEEE International Symposium on Information Theory, 2019