Tyler Sypherd

15 papers A* 1A 1B 4Journal 9
YearRankTypeTitle / Venue / Authors
2023 A conf
Smoothly Giving up: Robustness for Simple Models.
AISTATS
Tyler Sypherd, Nathaniel Stromberg, Richard Nock, Visar Berisha, Lalitha Sankar
2023 J jnl
Smoothly Giving up: Robustness for Simple Models.
CoRR
Tyler Sypherd, Nathan Stromberg, Richard Nock, Visar Berisha, Lalitha Sankar
2022 J jnl
A Tunable Loss Function for Robust Classification: Calibration, Landscape, and Generalization.
IEEE Trans. Inf. Theory
Tyler Sypherd, Mario Díaz, John Kevin Cava, Gautam Dasarathy, Peter Kairouz, Lalitha Sankar
2022 J jnl
AugLoss: A Learning Methodology for Real-World Dataset Corruption.
CoRR
Kyle Otstot, John Kevin Cava, Tyler Sypherd, Lalitha Sankar
2022 A* conf
Being Properly Improper.
ICML
Tyler Sypherd, Richard Nock, Lalitha Sankar
2022 B conf
α-GAN: Convergence and Estimation Guarantees.
ISIT
Gowtham R. Kurri, Monica Welfert, Tyler Sypherd, Lalitha Sankar
2022 J jnl
α-GAN: Convergence and Estimation Guarantees.
CoRR
Gowtham R. Kurri, Monica Welfert, Tyler Sypherd, Lalitha Sankar
2021 J jnl
Being Properly Improper.
CoRR
Richard Nock, Tyler Sypherd, Lalitha Sankar
2021 B conf
Realizing GANs via a Tunable Loss Function.
ITW
Gowtham R. Kurri, Tyler Sypherd, Lalitha Sankar
2021 J jnl
Realizing GANs via a Tunable Loss Function.
CoRR
Gowtham R. Kurri, Tyler Sypherd, Lalitha Sankar
2020 J jnl
On the alpha-loss Landscape in the Logistic Model.
CoRR
Tyler Sypherd, Mario Díaz, Lalitha Sankar, Gautam Dasarathy
2020 B conf
On the α-loss Landscape in the Logistic Model.
ISIT
Tyler Sypherd, Mario Díaz, Lalitha Sankar, Gautam Dasarathy
2019 B conf
A Tunable Loss Function for Binary Classification.
ISIT
Tyler Sypherd, Mario Díaz, Lalitha Sankar, Peter Kairouz
2019 J jnl
A Tunable Loss Function for Binary Classification.
CoRR
Tyler Sypherd, Mario Díaz, Lalitha Sankar, Peter Kairouz
2019 J jnl
A Tunable Loss Function for Classification.
CoRR
Tyler Sypherd, Mario Díaz, Harshit Laddha, Lalitha Sankar, Peter Kairouz, Gautam Dasarathy