All Papers

Title

Title
Towards Improved Research Methodologies for Industrial AI: A case study of false call reduction Korbinian Pfab Marcel Rothering 75 0 0 17 Jun 2025
Counterexample-Guided Repair of Reinforcement Learning Systems Using Safety Critics David Boetius Stefan Leue 96 0 0 24 May 2024
Simple Weak Coresets for Non-Decomposable Classification Measures Jayesh Malaviya Anirban Dasgupta Rachit Chhaya 149 0 0 15 Dec 2023
Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees Songkai Xue Yuekai Sun Mikhail Yurochkin FaML 81 0 0 15 Jan 2023
On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models Rohan Anil S. Gadanho Danya Huang Nijith Jacob Zhuoshu Li ... Cristina Pop Kevin Regan G. Shamir Rakesh Shivanna Qiqi Yan 3DV 124 43 0 12 Sep 2022
Improving Out-of-Distribution Detection via Epistemic Uncertainty Adversarial Training Derek Everett A. Nguyen Luke E. Richards Edward Raff OODD 95 3 0 05 Sep 2022
Reliable Decision from Multiple Subtasks through Threshold Optimization: Content Moderation in the Wild Donghyun Son Byounggyu Lew Kwanghee Choi Yongsu Baek Seungwoo Choi Beomjun Shin S. Ha Buru Chang 114 12 0 16 Aug 2022
Rank-based Decomposable Losses in Machine Learning: A Survey Shu Hu Xin Wang Siwei Lyu 130 34 0 18 Jul 2022
Attributing AUC-ROC to Analyze Binary Classifier Performance Arya Tafvizi Besim Avci Mukund Sundararajan 81 9 0 24 May 2022
AUC Maximization in the Era of Big Data and AI: A Survey Tianbao Yang Yiming Ying 269 213 0 28 Mar 2022
Deep AUC Maximization for Medical Image Classification: Challenges and Opportunities Tianbao Yang 136 5 0 01 Nov 2021
Assessing the Sufficiency of Arguments through Conclusion Generation Timon Ziegenbein Milad Alshomary Henning Wachsmuth ELM 90 26 0 26 Oct 2021
Fine-Tuning Pretrained Language Models With Label Attention for Biomedical Text Classification Bruce Nguyen Shaoxiong Ji MedIm 70 6 0 26 Aug 2021
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
Leveraging Uncertainty for Improved Static Malware Detection Under Extreme False Positive Constraints A. Nguyen Edward Raff Charles K. Nicholas James Holt 128 22 0 09 Aug 2021
Implicit Rate-Constrained Optimization of Non-decomposable Objectives Abhishek Kumar Harikrishna Narasimhan Andrew Cotter 154 11 0 23 Jul 2021
Momentum Accelerates the Convergence of Stochastic AUPRC Maximization Guanghui Wang Minghao Yang Lijun Zhang Tianbao Yang 100 22 0 02 Jul 2021
Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence Qi Qi Youzhi Luo Zhao Xu Shuiwang Ji Tianbao Yang 126 63 0 18 Apr 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
Deep Multilabel CNN for Forensic Footwear Impression Descriptor Identification M. Budka Akanda Wahid-Ul-Ashraf Scott Neville Alun Mackrill M. Bennett 51 11 0 09 Feb 2021
Eating Garlic Prevents COVID-19 Infection: Detecting Misinformation on the Arabic Content of Twitter S. Alqurashi Btool Hamoui Abdulaziz S. Alashaikh Ahmad Alhindi Eisa A. Alanazi 124 36 0 09 Jan 2021
Addressing the Real-world Class Imbalance Problem in Dermatology W. Weng Jonathan Deaton Vivek Natarajan Gamaleldin F. Elsayed Yuan Liu 84 14 0 09 Oct 2020
AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography Huazhu Fu Fei Li Xu Sun Xingxing Cao J. Liao ... Yan Kong Yongyong Ren Hrvoje Bogunović Xiulan Zhang Yanwu Xu 79 58 0 05 May 2020
General Framework for Binary Classification on Top Samples Lukáš Adam V. Mácha Václav Smídl Tomás Pevný 86 5 0 25 Feb 2020
Robust Optimization for Fairness with Noisy Protected Groups S. Wang Wenshuo Guo Harikrishna Narasimhan Andrew Cotter Maya R. Gupta Michael I. Jordan NoLa 102 122 0 21 Feb 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
The Real-World-Weight Cross-Entropy Loss Function: Modeling the Costs of Mislabeling Yaoshiang Ho S. Wookey 102 556 0 03 Jan 2020
AP-Perf: Incorporating Generic Performance Metrics in Differentiable Learning Rizal Fathony J. Zico Kolter FedML 108 17 0 02 Dec 2019
What is Fair? Exploring Pareto-Efficiency for Fairness Constrained Classifiers Ananth Balashankar Alyssa Lees Chris Welty L. Subramanian 129 24 0 30 Oct 2019
Conditional Learning of Fair Representations Han Zhao Amanda Coston T. Adel Geoffrey J. Gordon FaML 116 115 0 16 Oct 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
Coin_flipper at eHealth-KD Challenge 2019: Voting LSTMs for Key Phrases and Semantic Relation Identification Applied to Spanish eHealth Texts Neus Català Mario Martín 45 2 0 26 Sep 2019
Wasserstein Fair Classification Ray Jiang Aldo Pacchiano T. Stepleton Heinrich Jiang Silvia Chiappa 128 186 0 28 Jul 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
Learning Surrogate Losses Josif Grabocka Randolf Scholz Lars Schmidt-Thieme 98 42 0 24 May 2019
Graph Representations for Higher-Order Logic and Theorem Proving Aditya Sanjay Paliwal Sarah M. Loos M. Rabe Kshitij Bansal Christian Szegedy AI4CE NoLa 288 100 0 24 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
Clinically Accurate Chest X-Ray Report Generation Guanxiong Liu T. Hsu Matthew B. A. McDermott Willie Boag W. Weng Peter Szolovits Marzyeh Ghassemi MedIm 182 294 0 04 Apr 2019
Identifying and Correcting Label Bias in Machine Learning Heinrich Jiang Ofir Nachum FaML 173 294 0 15 Jan 2019
Stochastic Negative Mining for Learning with Large Output Spaces Sashank J. Reddi Satyen Kale Felix X. Yu D. Holtmann-Rice Jiecao Chen Sanjiv Kumar NoLa 103 62 0 16 Oct 2018
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals Andrew Cotter Heinrich Jiang S. Wang Taman Narayan Maya R. Gupta Seungil You Karthik Sridharan 171 163 0 11 Sep 2018
Two-Player Games for Efficient Non-Convex Constrained Optimization Andrew Cotter Heinrich Jiang Karthik Sridharan 168 121 0 17 Apr 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

Title

Towards Improved Research Methodologies for Industrial AI: A case study of false call reduction

Korbinian Pfab

Marcel Rothering

17 Jun 2025

Counterexample-Guided Repair of Reinforcement Learning Systems Using Safety Critics

David Boetius

Stefan Leue

24 May 2024

Simple Weak Coresets for Non-Decomposable Classification Measures

Jayesh Malaviya

Anirban Dasgupta

Rachit Chhaya

149

15 Dec 2023

Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees

15 Jan 2023

On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models

...

124

12 Sep 2022

Improving Out-of-Distribution Detection via Epistemic Uncertainty Adversarial Training

05 Sep 2022

Reliable Decision from Multiple Subtasks through Threshold Optimization: Content Moderation in the Wild

114

16 Aug 2022

Rank-based Decomposable Losses in Machine Learning: A Survey

Shu Hu

Xin Wang

Siwei Lyu

130

18 Jul 2022

Attributing AUC-ROC to Analyze Binary Classifier Performance

Arya Tafvizi

Besim Avci

Mukund Sundararajan

24 May 2022

AUC Maximization in the Era of Big Data and AI: A Survey

Tianbao Yang

Yiming Ying

269

213

28 Mar 2022

Deep AUC Maximization for Medical Image Classification: Challenges and Opportunities

Tianbao Yang

136

01 Nov 2021

Assessing the Sufficiency of Arguments through Conclusion Generation

Timon Ziegenbein

Milad Alshomary

Henning Wachsmuth

ELM

26 Oct 2021

Fine-Tuning Pretrained Language Models With Label Attention for Biomedical Text Classification

Bruce Nguyen

Shaoxiong Ji

MedIm

26 Aug 2021

sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel Classification

Gabriel Bénédict

Vincent Koops

Daan Odijk

Maarten de Rijke

145

24 Aug 2021

Leveraging Uncertainty for Improved Static Malware Detection Under Extreme False Positive Constraints

128

09 Aug 2021

Implicit Rate-Constrained Optimization of Non-decomposable Objectives

Abhishek Kumar

Harikrishna Narasimhan

Andrew Cotter

154

23 Jul 2021

Momentum Accelerates the Convergence of Stochastic AUPRC Maximization

100

02 Jul 2021

Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence

126

18 Apr 2021

A surrogate loss function for optimization of

F_β

score in binary classification with imbalanced data

Namgil Lee

Heejung Yang

Hojin Yoo

03 Apr 2021

Optimizing Black-box Metrics with Iterative Example Weighting

Gaurush Hiranandani

Jatin Mathur

Harikrishna Narasimhan

M. M. Fard

Oluwasanmi Koyejo

NoLa

112

18 Feb 2021

Deep Multilabel CNN for Forensic Footwear Impression Descriptor Identification

M. Budka

Akanda Wahid-Ul-Ashraf

Scott Neville

Alun Mackrill

M. Bennett

09 Feb 2021

Eating Garlic Prevents COVID-19 Infection: Detecting Misinformation on the Arabic Content of Twitter

S. Alqurashi

Btool Hamoui

Abdulaziz S. Alashaikh

Ahmad Alhindi

Eisa A. Alanazi

124

09 Jan 2021

Addressing the Real-world Class Imbalance Problem in Dermatology

W. Weng

Jonathan Deaton

Vivek Natarajan

Gamaleldin F. Elsayed

Yuan Liu

09 Oct 2020

AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography

...

Xiulan Zhang

Yanwu Xu

05 May 2020

General Framework for Binary Classification on Top Samples

25 Feb 2020

Robust Optimization for Fairness with Noisy Protected Groups

S. Wang

Wenshuo Guo

Harikrishna Narasimhan

102

122

21 Feb 2020

Optimizing Black-box Metrics with Adaptive Surrogates

Qijia Jiang

Olaoluwa Adigun

Harikrishna Narasimhan

M. M. Fard

Maya R. Gupta

20 Feb 2020

The Real-World-Weight Cross-Entropy Loss Function: Modeling the Costs of Mislabeling

Yaoshiang Ho

S. Wookey

102

556

03 Jan 2020

AP-Perf: Incorporating Generic Performance Metrics in Differentiable Learning

Rizal Fathony

J. Zico Kolter

FedML

108

02 Dec 2019

What is Fair? Exploring Pareto-Efficiency for Fairness Constrained Classifiers

129

30 Oct 2019

Conditional Learning of Fair Representations

116

115

16 Oct 2019

Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization offers Significant Performance and Efficiency Gains

26 Sep 2019

Coin_flipper at eHealth-KD Challenge 2019: Voting LSTMs for Key Phrases and Semantic Relation Identification Applied to Spanish eHealth Texts

Neus Català

Mario Martín

26 Sep 2019

Wasserstein Fair Classification

128

186

28 Jul 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

29 May 2019

Learning Surrogate Losses

Josif Grabocka

Randolf Scholz

Lars Schmidt-Thieme

24 May 2019

Graph Representations for Higher-Order Logic and Theorem Proving

Aditya Sanjay Paliwal

288

100

24 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

15 May 2019

Clinically Accurate Chest X-Ray Report Generation

Guanxiong Liu

T. Hsu

Matthew B. A. McDermott

182

294

04 Apr 2019

Identifying and Correcting Label Bias in Machine Learning

Heinrich Jiang

Ofir Nachum

FaML

173

294

15 Jan 2019

Stochastic Negative Mining for Learning with Large Output Spaces

Sanjiv Kumar

103

16 Oct 2018

Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals

171

163

11 Sep 2018

Two-Player Games for Efficient Non-Convex Constrained Optimization

Andrew Cotter

Heinrich Jiang

Karthik Sridharan

168

121

17 Apr 2018

Constrained Classification and Ranking via Quantiles

Alan Mackey

Xiyang Luo

Elad Eban

28 Feb 2018

Optimizing Non-decomposable Measures with Deep Networks

104

31 Jan 2018

Title
Towards Improved Research Methodologies for Industrial AI: A case study of false call reduction Korbinian Pfab Marcel Rothering 75 0 0 17 Jun 2025
Counterexample-Guided Repair of Reinforcement Learning Systems Using Safety Critics David Boetius Stefan Leue 96 0 0 24 May 2024
Simple Weak Coresets for Non-Decomposable Classification Measures Jayesh Malaviya Anirban Dasgupta Rachit Chhaya 149 0 0 15 Dec 2023
Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees Songkai Xue Yuekai Sun Mikhail Yurochkin FaML 81 0 0 15 Jan 2023
On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models Rohan Anil S. Gadanho Danya Huang Nijith Jacob Zhuoshu Li ... Cristina Pop Kevin Regan G. Shamir Rakesh Shivanna Qiqi Yan 3DV 124 43 0 12 Sep 2022
Improving Out-of-Distribution Detection via Epistemic Uncertainty Adversarial Training Derek Everett A. Nguyen Luke E. Richards Edward Raff OODD 95 3 0 05 Sep 2022
Reliable Decision from Multiple Subtasks through Threshold Optimization: Content Moderation in the Wild Donghyun Son Byounggyu Lew Kwanghee Choi Yongsu Baek Seungwoo Choi Beomjun Shin S. Ha Buru Chang 114 12 0 16 Aug 2022
Rank-based Decomposable Losses in Machine Learning: A Survey Shu Hu Xin Wang Siwei Lyu 130 34 0 18 Jul 2022
Attributing AUC-ROC to Analyze Binary Classifier Performance Arya Tafvizi Besim Avci Mukund Sundararajan 81 9 0 24 May 2022
AUC Maximization in the Era of Big Data and AI: A Survey Tianbao Yang Yiming Ying 269 213 0 28 Mar 2022
Deep AUC Maximization for Medical Image Classification: Challenges and Opportunities Tianbao Yang 136 5 0 01 Nov 2021
Assessing the Sufficiency of Arguments through Conclusion Generation Timon Ziegenbein Milad Alshomary Henning Wachsmuth ELM 90 26 0 26 Oct 2021
Fine-Tuning Pretrained Language Models With Label Attention for Biomedical Text Classification Bruce Nguyen Shaoxiong Ji MedIm 70 6 0 26 Aug 2021
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
Leveraging Uncertainty for Improved Static Malware Detection Under Extreme False Positive Constraints A. Nguyen Edward Raff Charles K. Nicholas James Holt 128 22 0 09 Aug 2021
Implicit Rate-Constrained Optimization of Non-decomposable Objectives Abhishek Kumar Harikrishna Narasimhan Andrew Cotter 154 11 0 23 Jul 2021
Momentum Accelerates the Convergence of Stochastic AUPRC Maximization Guanghui Wang Minghao Yang Lijun Zhang Tianbao Yang 100 22 0 02 Jul 2021
Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence Qi Qi Youzhi Luo Zhao Xu Shuiwang Ji Tianbao Yang 126 63 0 18 Apr 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
Deep Multilabel CNN for Forensic Footwear Impression Descriptor Identification M. Budka Akanda Wahid-Ul-Ashraf Scott Neville Alun Mackrill M. Bennett 51 11 0 09 Feb 2021
Eating Garlic Prevents COVID-19 Infection: Detecting Misinformation on the Arabic Content of Twitter S. Alqurashi Btool Hamoui Abdulaziz S. Alashaikh Ahmad Alhindi Eisa A. Alanazi 124 36 0 09 Jan 2021
Addressing the Real-world Class Imbalance Problem in Dermatology W. Weng Jonathan Deaton Vivek Natarajan Gamaleldin F. Elsayed Yuan Liu 84 14 0 09 Oct 2020
AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography Huazhu Fu Fei Li Xu Sun Xingxing Cao J. Liao ... Yan Kong Yongyong Ren Hrvoje Bogunović Xiulan Zhang Yanwu Xu 79 58 0 05 May 2020
General Framework for Binary Classification on Top Samples Lukáš Adam V. Mácha Václav Smídl Tomás Pevný 86 5 0 25 Feb 2020
Robust Optimization for Fairness with Noisy Protected Groups S. Wang Wenshuo Guo Harikrishna Narasimhan Andrew Cotter Maya R. Gupta Michael I. Jordan NoLa 102 122 0 21 Feb 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
The Real-World-Weight Cross-Entropy Loss Function: Modeling the Costs of Mislabeling Yaoshiang Ho S. Wookey 102 556 0 03 Jan 2020
AP-Perf: Incorporating Generic Performance Metrics in Differentiable Learning Rizal Fathony J. Zico Kolter FedML 108 17 0 02 Dec 2019
What is Fair? Exploring Pareto-Efficiency for Fairness Constrained Classifiers Ananth Balashankar Alyssa Lees Chris Welty L. Subramanian 129 24 0 30 Oct 2019
Conditional Learning of Fair Representations Han Zhao Amanda Coston T. Adel Geoffrey J. Gordon FaML 116 115 0 16 Oct 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
Coin_flipper at eHealth-KD Challenge 2019: Voting LSTMs for Key Phrases and Semantic Relation Identification Applied to Spanish eHealth Texts Neus Català Mario Martín 45 2 0 26 Sep 2019
Wasserstein Fair Classification Ray Jiang Aldo Pacchiano T. Stepleton Heinrich Jiang Silvia Chiappa 128 186 0 28 Jul 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
Learning Surrogate Losses Josif Grabocka Randolf Scholz Lars Schmidt-Thieme 98 42 0 24 May 2019
Graph Representations for Higher-Order Logic and Theorem Proving Aditya Sanjay Paliwal Sarah M. Loos M. Rabe Kshitij Bansal Christian Szegedy AI4CE NoLa 288 100 0 24 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
Clinically Accurate Chest X-Ray Report Generation Guanxiong Liu T. Hsu Matthew B. A. McDermott Willie Boag W. Weng Peter Szolovits Marzyeh Ghassemi MedIm 182 294 0 04 Apr 2019
Identifying and Correcting Label Bias in Machine Learning Heinrich Jiang Ofir Nachum FaML 173 294 0 15 Jan 2019
Stochastic Negative Mining for Learning with Large Output Spaces Sashank J. Reddi Satyen Kale Felix X. Yu D. Holtmann-Rice Jiecao Chen Sanjiv Kumar NoLa 103 62 0 16 Oct 2018
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals Andrew Cotter Heinrich Jiang S. Wang Taman Narayan Maya R. Gupta Seungil You Karthik Sridharan 171 163 0 11 Sep 2018
Two-Player Games for Efficient Non-Convex Constrained Optimization Andrew Cotter Heinrich Jiang Karthik Sridharan 168 121 0 17 Apr 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

Title

Towards Improved Research Methodologies for Industrial AI: A case study of false call reduction

Korbinian Pfab

Marcel Rothering

17 Jun 2025

Counterexample-Guided Repair of Reinforcement Learning Systems Using Safety Critics

David Boetius

Stefan Leue

24 May 2024

Simple Weak Coresets for Non-Decomposable Classification Measures

Jayesh Malaviya

Anirban Dasgupta