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"

19 / 19 papers shown

Title
Probabilistic Consistency in Machine Learning and Its Connection to Uncertainty Quantification P. Patrone Anthony J. Kearsley 31 0 0 29 Jul 2025
A General Online Algorithm for Optimizing Complex Performance Metrics Wojciech Kotłowski Marek Wydmuch Erik Schultheis Rohit Babbar Krzysztof Dembczyñski 113 1 0 20 Jun 2024
Simple Weak Coresets for Non-Decomposable Classification Measures Jayesh Malaviya Anirban Dasgupta Rachit Chhaya 149 0 0 15 Dec 2023
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 66 1 0 22 May 2023
sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel Classification Gabriel Bénédict Vincent Koops Daan Odijk Maarten de Rijke 145 35 0 24 Aug 2021
Implicit Rate-Constrained Optimization of Non-decomposable Objectives Abhishek Kumar Harikrishna Narasimhan Andrew Cotter 154 11 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 52 11 0 03 Apr 2021
Optimizing Black-box Metrics with Iterative Example Weighting Gaurush Hiranandani Jatin Mathur Harikrishna Narasimhan M. M. Fard Oluwasanmi Koyejo NoLa 108 7 0 18 Feb 2021
Attentional-Biased Stochastic Gradient Descent Q. Qi Yi Tian Xu Rong Jin W. Yin Tianbao Yang ODL 140 12 0 13 Dec 2020
Optimizing Black-box Metrics with Adaptive Surrogates Qijia Jiang Olaoluwa Adigun Harikrishna Narasimhan M. M. Fard Maya R. Gupta 65 18 0 20 Feb 2020
AP-Perf: Incorporating Generic Performance Metrics in Differentiable Learning Rizal Fathony J. Zico Kolter FedML 108 17 0 02 Dec 2019
Optimizing Generalized Rate Metrics through Game Equilibrium Harikrishna Narasimhan Andrew Cotter Maya R. Gupta 81 4 0 06 Sep 2019
$Calibrated Surrogate Maximization of Linear-fractional Utility in Binary Classification$ Calibrated Surrogate Maximization of Linear-fractional Utility in Binary Classification Han Bao Masashi Sugiyama 93 19 0 29 May 2019
Backdrop: Stochastic Backpropagation Siavash Golkar Kyle Cranmer 76 2 0 04 Jun 2018
Binary Classification with Karmic, Threshold-Quasi-Concave Metrics Bowei Yan Oluwasanmi Koyejo Kai Zhong Pradeep Ravikumar 85 32 0 02 Jun 2018
Optimizing Non-decomposable Measures with Deep Networks Amartya Sanyal Pawan Kumar Purushottam Kar Sanjay Chawla Fabrizio Sebastiani 104 28 0 31 Jan 2018
Satisfying Real-world Goals with Dataset Constraints Gabriel Goh Andrew Cotter Maya R. Gupta M. Friedlander OffRL 133 215 0 24 Jun 2016
Online Optimization Methods for the Quantification Problem Purushottam Kar Shuai Li Harikrishna Narasimhan Sanjay Chawla Fabrizio Sebastiani 93 46 0 13 May 2016
Surrogate Functions for Maximizing Precision at the Top Purushottam Kar Harikrishna Narasimhan Prateek Jain 113 44 0 26 May 2015