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Metric-Optimized Example Weights
v1v2v3 (latest)

Metric-Optimized Example Weights

27 May 2018
Sen Zhao
M. M. Fard
Harikrishna Narasimhan
Maya R. Gupta
ArXiv (abs)PDFHTML

Papers citing "Metric-Optimized Example Weights"

14 / 14 papers shown
An Efficient Plugin Method for Metric Optimization of Black-Box Models
Siddartha Devic
Nurendra Choudhary
Anirudh Srinivasan
Sahika Genc
Branislav Kveton
Gaurush Hiranandani
348
0
0
03 Mar 2025
The Benefits and Risks of Transductive Approaches for AI Fairness
The Benefits and Risks of Transductive Approaches for AI Fairness
Muhammed Razzak
Andreas Kirsch
Yarin Gal
205
0
0
17 Jun 2024
The Power of Few: Accelerating and Enhancing Data Reweighting with
  Coreset Selection
The Power of Few: Accelerating and Enhancing Data Reweighting with Coreset SelectionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Mohammad Jafari
Yimeng Zhang
Yihua Zhang
Sijia Liu
310
4
0
18 Mar 2024
Regularization Penalty Optimization for Addressing Data Quality Variance
  in OoD Algorithms
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD AlgorithmsAAAI Conference on Artificial Intelligence (AAAI), 2022
Runpeng Yu
Hong Zhu
Kaican Li
Lanqing Hong
Rui Zhang
Nan Ye
Shao-Lun Huang
Xiuqiang He
170
6
0
12 Jun 2022
Perspectives on Incorporating Expert Feedback into Model Updates
Perspectives on Incorporating Expert Feedback into Model UpdatesPatterns (Patterns), 2022
Valerie Chen
Umang Bhatt
Hoda Heidari
Adrian Weller
Ameet Talwalkar
224
15
0
13 May 2022
FORML: Learning to Reweight Data for Fairness
FORML: Learning to Reweight Data for Fairness
Bobby Yan
Skyler Seto
N. Apostoloff
FaML
231
12
0
03 Feb 2022
MetricOpt: Learning to Optimize Black-Box Evaluation Metrics
MetricOpt: Learning to Optimize Black-Box Evaluation MetricsComputer Vision and Pattern Recognition (CVPR), 2021
Chen Huang
Shuangfei Zhai
Pengsheng Guo
J. Susskind
215
14
0
21 Apr 2021
Optimizing Black-box Metrics with Iterative Example Weighting
Optimizing Black-box Metrics with Iterative Example WeightingInternational Conference on Machine Learning (ICML), 2021
Gaurush Hiranandani
Jatin Mathur
Harikrishna Narasimhan
M. M. Fard
Oluwasanmi Koyejo
NoLa
174
8
0
18 Feb 2021
Learning to Purify Noisy Labels via Meta Soft Label Corrector
Learning to Purify Noisy Labels via Meta Soft Label CorrectorAAAI Conference on Artificial Intelligence (AAAI), 2020
Yichen Wu
Jun Shu
Qi Xie
Qian Zhao
Deyu Meng
165
76
0
03 Aug 2020
Optimizing Black-box Metrics with Adaptive Surrogates
Optimizing Black-box Metrics with Adaptive SurrogatesInternational Conference on Machine Learning (ICML), 2020
Qijia Jiang
Olaoluwa Adigun
Harikrishna Narasimhan
M. M. Fard
Maya R. Gupta
133
18
0
20 Feb 2020
Invariant Risk Minimization Games
Invariant Risk Minimization GamesInternational Conference on Machine Learning (ICML), 2020
Kartik Ahuja
Karthikeyan Shanmugam
Kush R. Varshney
Amit Dhurandhar
OOD
342
271
0
11 Feb 2020
Mix and Match: An Optimistic Tree-Search Approach for Learning Models
  from Mixture Distributions
Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture DistributionsNeural Information Processing Systems (NeurIPS), 2019
Matthew Faw
Rajat Sen
Karthikeyan Shanmugam
Constantine Caramanis
Sanjay Shakkottai
322
3
0
23 Jul 2019
Task-Driven Data Verification via Gradient Descent
Task-Driven Data Verification via Gradient Descent
Siavash Golkar
Dong Wang
157
0
0
14 May 2019
Learning to Generalize from Sparse and Underspecified Rewards
Learning to Generalize from Sparse and Underspecified Rewards
Rishabh Agarwal
Chen Liang
Dale Schuurmans
Mohammad Norouzi
OffRL
463
103
0
19 Feb 2019
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