Being Properly Improper

18 June 2021

Papers citing "Being Properly Improper"

10 / 10 papers shown

Title
Label Noise Robustness for Domain-Agnostic Fair Corrections via Nearest Neighbors Label Spreading Nathan Stromberg Rohan Ayyagari Sanmi Koyejo Richard Nock Lalitha Sankar 46 0 0 13 Jun 2024
Boosting with Tempered Exponential Measures Richard Nock Ehsan Amid Manfred K. Warmuth 8 5 0 08 Jun 2023
Smoothly Giving up: Robustness for Simple Models Tyler Sypherd Nathan Stromberg Richard Nock Visar Berisha Lalitha Sankar 18 1 0 17 Feb 2023
LegendreTron: Uprising Proper Multiclass Loss Learning Kevin Lam Christian J. Walder S. Penev Richard Nock 47 0 0 27 Jan 2023
AugLoss: A Robust Augmentation-based Fine Tuning Methodology Kyle Otstot J. Cava Tyler Sypherd Lalitha Sankar 21 0 0 05 Jun 2022
What killed the Convex Booster ? Yishay Mansour Richard Nock Robert C. Williamson 13 1 0 19 May 2022
Fair Wrapping for Black-box Predictions Alexander Soen Ibrahim M. Alabdulmohsin Sanmi Koyejo Yishay Mansour Nyalleng Moorosi Richard Nock Ke Sun Lexing Xie FaML 51 6 0 31 Jan 2022
Generative Trees: Adversarial and Copycat Richard Nock Mathieu Guillame-Bert 24 5 0 26 Jan 2022
On Tilted Losses in Machine Learning: Theory and Applications Tian Li Ahmad Beirami Maziar Sanjabi Virginia Smith 52 43 0 13 Sep 2021
A Tunable Loss Function for Robust Classification: Calibration, Landscape, and Generalization Tyler Sypherd Mario Díaz J. Cava Gautam Dasarathy Peter Kairouz Lalitha Sankar 15 27 0 05 Jun 2019