Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1410.6776
Cited By
Online and Stochastic Gradient Methods for Non-decomposable Loss Functions
24 October 2014
Purushottam Kar
Harikrishna Narasimhan
Prateek Jain
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Online and Stochastic Gradient Methods for Non-decomposable Loss Functions"
18 / 18 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
Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm
Huiyang Shao
Qianqian Xu
Zhiyong Yang
Shilong Bao
Qingming Huang
21
4
0
08 Oct 2022
Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC Maximization
Quanqi Hu
Yongjian Zhong
Tianbao Yang
25
16
0
01 Jun 2022
AUC Maximization in the Era of Big Data and AI: A Survey
Tianbao Yang
Yiming Ying
33
179
0
28 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
33
29
0
01 Mar 2022
Deep AUC Maximization for Medical Image Classification: Challenges and Opportunities
Tianbao Yang
30
3
0
01 Nov 2021
Implicit Rate-Constrained Optimization of Non-decomposable Objectives
Abhishek Kumar
Harikrishna Narasimhan
Andrew Cotter
13
10
0
23 Jul 2021
A surrogate loss function for optimization of
F
β
F_β
F
β
score in binary classification with imbalanced data
Namgil Lee
Heejung Yang
Hojin Yoo
21
8
0
03 Apr 2021
Optimizing Black-box Metrics with Adaptive Surrogates
Qijia Jiang
Olaoluwa Adigun
Harikrishna Narasimhan
M. M. Fard
Maya R. Gupta
19
16
0
20 Feb 2020
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
18
75
0
15 May 2019
Backdrop: Stochastic Backpropagation
Siavash Golkar
Kyle Cranmer
33
2
0
04 Jun 2018
Binary Classification with Karmic, Threshold-Quasi-Concave Metrics
Bowei Yan
Oluwasanmi Koyejo
Kai Zhong
Pradeep Ravikumar
8
31
0
02 Jun 2018
Constrained Classification and Ranking via Quantiles
Alan Mackey
Xiyang Luo
Elad Eban
19
6
0
28 Feb 2018
Optimizing Non-decomposable Measures with Deep Networks
Amartya Sanyal
Pawan Kumar
Purushottam Kar
S. Chawla
Fabrizio Sebastiani
22
26
0
31 Jan 2018
SpectralLeader: Online Spectral Learning for Single Topic Models
Tong Yu
B. Kveton
Zheng Wen
Hung Bui
Ole J. Mengshoel
BDL
14
0
0
21 Sep 2017
Surrogate Functions for Maximizing Precision at the Top
Purushottam Kar
Harikrishna Narasimhan
Prateek Jain
26
42
0
26 May 2015
Optimizing Non-decomposable Performance Measures: A Tale of Two Classes
Harikrishna Narasimhan
Purushottam Kar
Prateek Jain
16
45
0
26 May 2015
Optimal Distributed Online Prediction using Mini-Batches
O. Dekel
Ran Gilad-Bachrach
Ohad Shamir
Lin Xiao
177
683
0
07 Dec 2010
1