Optimizing Non-decomposable Performance Measures: A Tale of Two Classes

26 May 2015

Papers citing "Optimizing Non-decomposable Performance Measures: A Tale of Two Classes"

12 / 12 papers shown

Title
A General Online Algorithm for Optimizing Complex Performance Metrics Wojciech Kotłowski Marek Wydmuch Erik Schultheis Rohit Babbar Krzysztof Dembczyñski 46 0 0 20 Jun 2024
A comprehensive theoretical framework for the optimization of neural networks classification performance with respect to weighted metrics Francesco Marchetti Sabrina Guastavino C. Campi F. Benvenuto Michele Piana 15 1 0 22 May 2023
sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel Classification Gabriel Bénédict Vincent Koops Daan Odijk Maarten de Rijke 32 30 0 24 Aug 2021
Implicit Rate-Constrained Optimization of Non-decomposable Objectives Abhishek Kumar Harikrishna Narasimhan Andrew Cotter 18 10 0 23 Jul 2021
A surrogate loss function for optimization of $F_β$ score in binary classification with imbalanced data Namgil Lee Heejung Yang Hojin Yoo 21 8 0 03 Apr 2021
Attentional-Biased Stochastic Gradient Descent Q. Qi Yi Tian Xu R. L. Jin W. Yin Tianbao Yang ODL 26 12 0 13 Dec 2020
Optimizing Black-box Metrics with Adaptive Surrogates Qijia Jiang Olaoluwa Adigun Harikrishna Narasimhan M. M. Fard Maya R. Gupta 22 16 0 20 Feb 2020
Backdrop: Stochastic Backpropagation Siavash Golkar Kyle Cranmer 36 2 0 04 Jun 2018
Binary Classification with Karmic, Threshold-Quasi-Concave Metrics Bowei Yan Oluwasanmi Koyejo Kai Zhong Pradeep Ravikumar 10 31 0 02 Jun 2018
Optimizing Non-decomposable Measures with Deep Networks Amartya Sanyal Pawan Kumar Purushottam Kar S. Chawla Fabrizio Sebastiani 25 26 0 31 Jan 2018
Satisfying Real-world Goals with Dataset Constraints Gabriel Goh Andrew Cotter Maya R. Gupta M. Friedlander OffRL 9 212 0 24 Jun 2016
Surrogate Functions for Maximizing Precision at the Top Purushottam Kar Harikrishna Narasimhan Prateek Jain 26 42 0 26 May 2015