Online and Stochastic Gradient Methods for Non-decomposable Loss Functions

24 October 2014

Papers citing "Online and Stochastic Gradient Methods for Non-decomposable Loss Functions"

32 / 32 papers shown

Title
Stochastic Primal-Dual Double Block-Coordinate for Two-way Partial AUC Maximization Linli Zhou Bokun Wang My T. Thai Tianbao Yang 61 0 0 28 May 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
Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm Huiyang Shao Qianqian Xu Zhiyong Yang Shilong Bao Qingming Huang 153 5 0 08 Oct 2022
Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC Maximization Quanqi Hu Yongjian Zhong Tianbao Yang 185 17 0 01 Jun 2022
Counterfactual Learning To Rank for Utility-Maximizing Query Autocompletion Adam Block Rahul Kidambi Daniel N. Hill Thorsten Joachims Inderjit S. Dhillon CML 96 8 0 22 Apr 2022
AUC Maximization in the Era of Big Data and AI: A Survey Tianbao Yang Yiming Ying 269 213 0 28 Mar 2022
Large-scale Optimization of Partial AUC in a Range of False Positive Rates Yao Yao Qihang Lin Tianbao Yang 142 17 0 03 Mar 2022
When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee Dixian Zhu Gang Li Bokun Wang Xiaodong Wu Tianbao Yang 275 35 0 01 Mar 2022
Deep AUC Maximization for Medical Image Classification: Challenges and Opportunities Tianbao Yang 136 5 0 01 Nov 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 112 7 0 18 Feb 2021
How Good are Low-Rank Approximations in Gaussian Process Regression? C. Daskalakis P. Dellaportas A. Panos 117 4 0 03 Apr 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 Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization offers Significant Performance and Efficiency Gains Sathya Ravi Abhay Venkatesh G. Fung Vikas Singh 80 3 0 26 Sep 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
Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment Chen Huang Shuangfei Zhai Walter A. Talbott Miguel Angel Bautista Shi Sun Carlos Guestrin J. Susskind 109 78 0 15 May 2019
AdaCoSeg: Adaptive Shape Co-Segmentation with Group Consistency Loss Chenyang Zhu Kai Xu S. Chaudhuri L. Yi Leonidas Guibas Hao Zhang 3DPC 124 9 0 25 Mar 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 97 32 0 02 Jun 2018
Constrained Classification and Ranking via Quantiles Alan Mackey Xiyang Luo Elad Eban 89 6 0 28 Feb 2018
Optimizing Non-decomposable Measures with Deep Networks Amartya Sanyal Pawan Kumar Purushottam Kar Sanjay Chawla Fabrizio Sebastiani 104 28 0 31 Jan 2018
Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition Naoya Takeishi Yoshinobu Kawahara Takehisa Yairi 159 392 0 12 Oct 2017
SpectralLeader: Online Spectral Learning for Single Topic Models Tong Yu Branislav Kveton Zheng Wen Hung Bui Ole J. Mengshoel BDL 73 0 0 21 Sep 2017
Scalable Learning of Non-Decomposable Objectives Elad Eban Mariano Schain Alan Mackey A. Gordon R. Rifkin G. Elidan 84 112 0 16 Aug 2016
Support Vector Algorithms for Optimizing the Partial Area Under the ROC Curve Harikrishna Narasimhan S. Agarwal 56 39 0 13 May 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
Optimizing Non-decomposable Performance Measures: A Tale of Two Classes Harikrishna Narasimhan Purushottam Kar Prateek Jain 107 48 0 26 May 2015