Hao Yang

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All published works

Action	Title	Year	Authors
+	Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness	2023	Zahra Ashktorab Benjamin Hoover Mayank Agarwal Casey Dugan Werner Geyer Hao Yang Mikhail Yurochkin

Common Coauthors

Coauthor	Papers Together
Zahra Ashktorab	1
Werner Geyer	1
Mikhail Yurochkin	1
Benjamin Hoover	1
Casey Dugan	1
Mayank Agarwal	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Fairness through awareness	2012	Cynthia Dwork Moritz Hardt Toniann Pitassi Omer Reingold Richard S. Zemel	1
+ PDF Chat	Inherent Tradeoffs in the Fair Determination of Risk Scores	2023	Manish Raghavan	1
+	Equality of Opportunity in Supervised Learning	2016	Moritz Hardt Eric Price Nathan Srebro	1
+ PDF Chat	Fairness in Criminal Justice Risk Assessments: The State of the Art	2018	Richard A. Berk Hoda Heidari Shahin Jabbari Michael Kearns Aaron Roth	1
+	Beyond Parity: Fairness Objectives for Collaborative Filtering	2017	Sirui Yao Bert Huang	1
+	Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making	2018	Michael Veale Max Van Kleek Reuben Binns	1
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	1
+	How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness	2018	Nripsuta Ani Saxena Karen Huang Evan DeFilippis Goran Radanović David C. Parkes Yang Liu	1
+ PDF Chat	Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification	2019	Daniel Borkan Lucas Dixon Jeffrey Sorensen Nithum Thain Lucy Vasserman	1
+	Metric Learning for Individual Fairness	2019	Christina Ilvento	1
+	Evaluating Gender Bias in Machine Translation	2019	Gabriel Stanovsky Noah A. Smith Luke Zettlemoyer	1
+	Counterfactual Fairness in Text Classification through Robustness	2019	Sahaj Garg Vincent Perot Nicole Limtiaco Ankur Taly Ed H. Alex Beutel	1
+ PDF Chat	Reducing Gender Bias in Abusive Language Detection	2018	Ji Ho Park Jamin Shin Pascale Fung	1
+	Two-Player Games for Efficient Non-Convex Constrained Optimization	2018	Andrew Cotter Heinrich Jiang Karthik Sridharan	1
+ PDF Chat	A comparative study of fairness-enhancing interventions in machine learning	2019	Sorelle A. Friedler Carlos Scheidegger Suresh Venkatasubramanian Sonam Choudhary Evan P. Hamilton Derek Roth	1
+	Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments	2017	Alexandra Chouldechova	1
+	The Woman Worked as a Babysitter: On Biases in Language Generation	2019	Emily Sheng Kai-Wei Chang Prem Natarajan Nanyun Peng	1
+	Debiasing Embeddings for Reduced Gender Bias in Text Classification	2019	Flavien Prost Nithum Thain Tolga Bolukbasi	1
+	HuggingFace's Transformers: State-of-the-art Natural Language Processing	2019	Thomas Wolf Lysandre Debut Victor Sanh Julien Chaumond Clément Delangue Anthony Moi Pierric Cistac Tim Rault Rémi Louf Morgan Funtowicz	1
+	Training individually fair ML models with Sensitive Subspace Robustness	2019	Mikhail Yurochkin Amanda Bower Yuekai Sun	1
+	Auditing ML Models for Individual Bias and Unfairness	2020	Songkai Xue Mikhail Yurochkin Yuekai Sun	1
+ PDF Chat	Do I Look Like a Criminal? Examining how Race Presentation Impacts Human Judgement of Recidivism	2020	Keri Mallari Kori Inkpen Paul Johns Sarah Tan Divya Ramesh Ece Kamar	1
+	Towards Understanding Gender Bias in Relation Extraction	2020	Andrew Gaut Tony Sun Shirlyn Tang Yuxin Huang Jing Qian Mai ElSherief Jieyu Zhao Diba Mirza Elizabeth Belding Kai-Wei Chang	1
+	Two Simple Ways to Learn Individual Fairness Metrics from Data	2020	Debarghya Mukherjee Mikhail Yurochkin Moulinath Banerjee Yuekai Sun	1
+	SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness	2020	Mikhail Yurochkin Yuekai Sun	1
+ PDF Chat	Improving Fairness in Machine Learning Systems: What Do Industry Practitioners Need?	2019	Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miro Dudík Hanna Wallach	1
+	UNQOVERing Stereotyping Biases via Underspecified Questions	2020	Tao Li Daniel Khashabi Tushar Khot Ashish Sabharwal Vivek Srikumar	1
+	WILDS: A Benchmark of in-the-Wild Distribution Shifts	2020	Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang Akshay Balsubramani Weihua Hu Michihiro Yasunaga Richard L. Phillips Irena Gao	1
+	Statistical inference for individual fairness	2021	Subha Maity Songkai Xue Mikhail Yurochkin Yuekai Sun	1
+ PDF Chat	Detecting Race and Gender Bias in Visual Representation of AI on Web Search Engines	2021	Mykola Makhortykh Aleksandra Urman Roberto Ulloa	1
+	Towards Involving End-users in Interactive Human-in-the-loop AI Fairness	2022	Yuri Nakao Simone Stumpf Subeida Ahmed Aisha Naseer Lorenzo Strappelli	1
+ PDF Chat	Assessing the Fairness of AI Systems: AI Practitioners' Processes, Challenges, and Needs for Support	2022	Michael Madaio Lisa Egede Hariharan Subramonyam Jennifer Wortman Vaughan Hanna Wallach	1
+ PDF Chat	Towards Responsible AI: A Design Space Exploration of Human-Centered Artificial Intelligence User Interfaces to Investigate Fairness	2022	Yuri Nakao Lorenzo Strappelli Simone Stumpf Aisha Naseer Daniele Regoli Giulia Del Gamba	1
+ PDF Chat	Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits	2022	Wesley Hanwen Deng Manish Nagireddy Michelle Seng Ah Lee Jatinder Singh Zhiwei Steven Wu Kenneth Holstein Haiyi Zhu	1
+ PDF Chat	Your fairness may vary: Pretrained language model fairness in toxic text classification	2022	Ioana Baldini Dennis Wei Karthikeyan Natesan Ramamurthy Moninder Singh Mikhail Yurochkin	1
+	Post-processing for Individual Fairness	2021	Felix Petersen Debarghya Mukherjee Yuekai Sun Mikhail Yurochkin	1
+	Algorithm Fairness in AI for Medicine and Healthcare	2021	Richard J. Chen Tiffany Chen Jana Lipková Judy J. Wang Drew F. K. Williamson Ming Y. Lu Sharifa Sahai Faisal Mahmood	1
+	Designing Toxic Content Classification for a Diversity of Perspectives	2021	Dinesh Kumar Patrick Gage Kelley Sunny Consolvo Joshua Mason Elie Bursztein Zakir Durumeric Kurt Thomas Michael Bailey	1
+	UnQovering Stereotyping Biases via Underspecified Questions	2020	Tao Li Tushar Khot Daniel Khashabi Ashish Sabharwal Vivek Srikumar	1
+ PDF Chat	Improving Fairness in Machine Learning Systems	2019	Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miro Dudík Hanna Wallach	1
+	Mathematical Notions vs. Human Perception of Fairness: A Descriptive Approach to Fairness for Machine Learning	2019	Megha Srivastava Hoda Heidari Andreas Krause	1
+	Aequitas: A Bias and Fairness Audit Toolkit	2018	Pedro Saleiro Benedict Kuester Loren Hinkson Jesse London Abby Stevens Ari Anisfeld Kit T. Rodolfa Rayid Ghani	1
+	A Reductions Approach to Fair Classification	2018	Alekh Agarwal Alina Beygelzimer Miroslav Dudı́k John Langford Hanna Wallach	1
+	On Measures of Biases and Harms in NLP	2021	Sunipa Dev Emily Sheng Jieyu Zhao Aubrie Amstutz Jiao Sun Yu Hou Mattie Sanseverino Ji‐In Kim Akihiro Nishi Nanyun Peng	1
+	Gerrymandering individual fairness	2023	Tim Räz	1