Sorelle A. Friedler

65 papers A* 8A 1B 1C 1Journal 37Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Edge interventions can mitigate demographic and prestige disparities in the Computer Science coauthorship network. CoRR Kate Barnes, Mia Ellis-Einhorn, Carolina Chávez-Ruelas, Nayera Hasan, Mohammad Fanous, Blair D. Sullivan, Sorelle A. Friedler, Aaron Clauset
2025	J	`jnl`	Equalizing Closeness Centralities via Edge Additions. CoRR Alex Crane, Sorelle A. Friedler, Mihir Patel, Blair D. Sullivan
2025	A*	`conf`	Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse. ICLR Seung Hyun Cheon, Anneke Wernerfelt, Sorelle A. Friedler, Berk Ustun
2025	—	`conf`	Identity-related Speech Suppression in Generative AI Content Moderation. EAAMO Grace Proebsting, Oghenefejiro Isaacs Anigboro, Charlie M. Crawford, Danaé Metaxa, Sorelle A. Friedler
2025	J	`jnl`	Longitudinal Monitoring of LLM Content Moderation of Social Issues. CoRR Yunlang Dai, Emma Lurie, Danaé Metaxa, Sorelle A. Friedler
2024	—	`conf`	Auditing GPT's Content Moderation Guardrails: Can ChatGPT Write Your Favorite TV Show? FAccT Yaaseen Mahomed, Charlie M. Crawford, Sanjana Gautam, Sorelle A. Friedler, Danaë Metaxa
2024	J	`jnl`	Fast algorithms to improve fair information access in networks. CoRR Dennis Robert Windham, Caroline J. Wendt, Alex Crane, Sorelle A. Friedler, Blair D. Sullivan, Aaron Clauset
2024	J	`jnl`	Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse. CoRR Seung Hyun Cheon, Anneke Wernerfelt, Sorelle A. Friedler, Berk Ustun
2024	J	`jnl`	Identity-related Speech Suppression in Generative AI Content Moderation. CoRR Oghenefejiro Isaacs Anigboro, Charlie M. Crawford, Danaë Metaxa, Sorelle A. Friedler
2023	—	`conf`	Energy and Carbon Considerations of Fine-Tuning BERT. EMNLP (Findings) Xiaorong Wang, Clara Na, Emma Strubell, Sorelle A. Friedler, Sasha Luccioni
2023	J	`jnl`	Energy and Carbon Considerations of Fine-Tuning BERT. CoRR Xiaorong Wang, Clara Na, Emma Strubell, Sorelle A. Friedler, Sasha Luccioni
2023	—	`conf`	Measuring and mitigating voting access disparities: a study of race and polling locations in Florida and North Carolina. FAccT Mohsen Abbasi, Calvin Barrett, Kristian Lum, Sorelle A. Friedler, Suresh Venkatasubramanian
2023	—	`conf`	Reducing Access Disparities in Networks using Edge Augmentation✱. FAccT Ashkan Bashardoust, Sorelle A. Friedler, Carlos Scheidegger, Blair D. Sullivan, Suresh Venkatasubramanian
2022	—	`conf`	Approaches for Weaving Responsible Computing into Data Structures and Algorithms Courses. SIGCSE (2) Kathi Fisler, Sorelle A. Friedler, Kevin Lin, Suresh Venkatasubramanian
2022	J	`jnl`	Measuring and mitigating voting access disparities: a study of race and polling locations in Florida and North Carolina. CoRR Mohsen Abbasi, Suresh Venkatasubramanian, Sorelle A. Friedler, Kristian Lum, Calvin Barrett
2022	—	`conf`	Models for understanding and quantifying feedback in societal systems. FAccT Lydia Reader, Pegah Nokhiz, Cathleen Power, Neal Patwari, Suresh Venkatasubramanian, Sorelle A. Friedler
2022	J	`jnl`	Reducing Access Disparities in Networks using Edge Augmentation. CoRR Ashkan Bashardoust, Sorelle A. Friedler, Carlos Eduardo Scheidegger, Blair D. Sullivan, Suresh Venkatasubramanian
2021	A*	`conf`	Fairness in Networks: Social Capital, Information Access, and Interventions. KDD Suresh Venkatasubramanian, Carlos Scheidegger, Sorelle A. Friedler, Aaron Clauset
2021	A*	`conf`	Shapley Residuals: Quantifying the limits of the Shapley value for explanations. NeurIPS Indra Kumar, Carlos Scheidegger, Suresh Venkatasubramanian, Sorelle A. Friedler
2021	J	`jnl`	The (Im)possibility of fairness: different value systems require different mechanisms for fair decision making. Commun. ACM Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian
2020	J	`jnl`	Clustering via Information Access in a Network. CoRR Hannah C. Beilinson, Nasanbayar Ulzii-Orshikh, Ashkan Bashardoust, Sorelle A. Friedler, Carlos Eduardo Scheidegger, Suresh Venkatasubramanian
2020	—	`conf`	Fairness warnings and fair-MAML: learning fairly with minimal data. FAT* Dylan Slack, Sorelle A. Friedler, Emile Givental
2020	A*	`conf`	Problems with Shapley-value-based explanations as feature importance measures. ICML I. Elizabeth Kumar, Suresh Venkatasubramanian, Carlos Scheidegger, Sorelle A. Friedler
2020	J	`jnl`	Problems with Shapley-value-based explanations as feature importance measures. CoRR I. Elizabeth Kumar, Suresh Venkatasubramanian, Carlos Scheidegger, Sorelle A. Friedler
2019	—	`conf`	A comparative study of fairness-enhancing interventions in machine learning. FAT Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian, Sonam Choudhary, Evan P. Hamilton, Derek Roth
2019	J	`jnl`	Anthropogenic biases in chemical reaction data hinder exploratory inorganic synthesis. Nat. Xiwen Jia, Allyson Lynch, Yuheng Huang, Matthew Danielson, Immaculate Lang'at, Alexander Milder, Aaron E. Ruby, Hao Wang, Sorelle A. Friedler, Alexander J. Norquist, Joshua Schrier
2019	J	`jnl`	Assessing the Local Interpretability of Machine Learning Models. CoRR Sorelle A. Friedler, Chitradeep Dutta Roy, Carlos Scheidegger, Dylan Slack
2019	J	`jnl`	Automated Congressional Redistricting. ACM J. Exp. Algorithmics Harry A. Levin, Sorelle A. Friedler
2019	J	`jnl`	Disentangling Influence: Using Disentangled Representations to Audit Model Predictions. CoRR Charles T. Marx, Richard Lanas Phillips, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian
2019	A*	`conf`	Disentangling Influence: Using disentangled representations to audit model predictions. NeurIPS Charles T. Marx, Richard L. Phillips, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian
2019	J	`jnl`	Energy Usage Reports: Environmental awareness as part of algorithmic accountability. CoRR Kadan Lottick, Silvia Susai, Sorelle A. Friedler, Jonathan P. Wilson
2019	J	`jnl`	Fair Meta-Learning: Learning How to Learn Fairly. CoRR Dylan Slack, Sorelle A. Friedler, Emile Givental
2019	J	`jnl`	Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data. CoRR Dylan Slack, Sorelle A. Friedler, Emile Givental
2019	—	`conf`	Fairness and Abstraction in Sociotechnical Systems. FAT Andrew D. Selbst, danah boyd, Sorelle A. Friedler, Suresh Venkatasubramanian, Janet Vertesi
2019	A	`conf`	Fairness in representation: quantifying stereotyping as a representational harm. SDM Mohsen Abbasi, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian
2019	J	`jnl`	Fairness in representation: quantifying stereotyping as a representational harm. CoRR Mohsen Abbasi, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian
2019	J	`jnl`	Gaps in Information Access in Social Networks. CoRR Benjamin Fish, Ashkan Bashardoust, danah boyd, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian
2019	A*	`conf`	Gaps in Information Access in Social Networks? WWW Benjamin Fish, Ashkan Bashardoust, danah boyd, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian
2018	J	`jnl`	A comparative study of fairness-enhancing interventions in machine learning. CoRR Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian, Sonam Choudhary, Evan P. Hamilton, Derek Roth
2018	J	`jnl`	Auditing black-box models for indirect influence. Knowl. Inf. Syst. Philip Adler, Casey Falk, Sorelle A. Friedler, Tionney Nix, Gabriel Rybeck, Carlos Scheidegger, Brandon Smith, Suresh Venkatasubramanian
2018	—	`ed.`	Conference on Fairness, Accountability and Transparency, FAT 2018, 23-24 February 2018, New York, NY, USA FAT Sorelle A. Friedler, Christo Wilson
2018	B	`conf`	Decision making with limited feedback. ALT Danielle Ensign, Sorelle A. Friedler, Scott Neville, Carlos Eduardo Scheidegger, Suresh Venkatasubramanian
2018	—	`conf`	Interpretable Active Learning. FAT Richard L. Phillips, Kyu Hyun Chang, Sorelle A. Friedler
2018	J	`jnl`	NSF BIGDATA PI Meeting - Domain-Specific Research Directions and Data Sets. SIGMOD Rec. Lisa Singh, Amol Deshpande, Wenchao Zhou, Arindam Banerjee, Alex J. Bowers, Sorelle A. Friedler, H. V. Jagadish, George Karypis, Zoran Obradovic, Anil Vullikanti, Wangda Zuo
2018	—	`conf`	Optimizing Society? Ensuring Fairness in Automated Decision-Making (Invited Talk). SWAT Sorelle A. Friedler
2018	—	`conf`	Runaway Feedback Loops in Predictive Policing. FAT Danielle Ensign, Sorelle A. Friedler, Scott Neville, Carlos Scheidegger, Suresh Venkatasubramanian
2017	J	`jnl`	Interpretable Active Learning. CoRR Richard L. Phillips, Kyu Hyun Chang, Sorelle A. Friedler
2017	J	`jnl`	Runaway Feedback Loops in Predictive Policing. CoRR Danielle Ensign, Sorelle A. Friedler, Scott Neville, Carlos Eduardo Scheidegger, Suresh Venkatasubramanian
2017	J	`jnl`	Social and Technical Trade-Offs in Data Science. Big Data Solon Barocas, danah boyd, Sorelle A. Friedler, Hanna M. Wallach
2016	A*	`conf`	Auditing Black-Box Models for Indirect Influence. ICDM Philip Adler, Casey Falk, Sorelle A. Friedler, Gabriel Rybeck, Carlos Scheidegger, Brandon Smith, Suresh Venkatasubramanian
2016	J	`jnl`	Auditing Black-box Models by Obscuring Features. CoRR Philip Adler, Casey Falk, Sorelle A. Friedler, Gabriel Rybeck, Carlos Scheidegger, Brandon Smith, Suresh Venkatasubramanian
2016	—	`conf`	Convex Hull for Probabilistic Points. SIBGRAPI F. Betül Atalay, Sorelle A. Friedler, Dianna Xu
2016	J	`jnl`	Machine-learning-assisted materials discovery using failed experiments. Nat. Paul Raccuglia, Katherine C. Elbert, Philip Adler, Casey Falk, Malia B. Wenny, Aurelio Mollo, Matthias Zeller, Sorelle A. Friedler, Joshua Schrier, Alexander J. Norquist
2016	J	`jnl`	On the (im)possibility of fairness. CoRR Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian
2015	J	`jnl`	A sensor-based framework for kinetic data compression. Comput. Geom. Sorelle A. Friedler, David M. Mount
2015	A*	`conf`	Certifying and Removing Disparate Impact. KDD Michael Feldman, Sorelle A. Friedler, John Moeller, Carlos Scheidegger, Suresh Venkatasubramanian
2014	J	`jnl`	Certifying and removing disparate impact. CoRR Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian
2014	J	`jnl`	Convex Hull for Probabilistic Points. CoRR F. Betül Atalay, Sorelle A. Friedler, Dianna Xu
2011	J	`jnl`	Review of pioneering women in american mathematics: the pre-1940 PhD's by Judy Green and Jeanne LaDuke. SIGACT News Sorelle A. Friedler
2010	J	`jnl`	Approximation algorithm for the kinetic robust K-center problem. Comput. Geom. Sorelle A. Friedler, David M. Mount
2010	J	`jnl`	Change is possible: stories of women and minorities in mathematics by Patricia Clark Kenschaft, published by AMS, 2005 212 pages, softcover. SIGACT News Sorelle A. Friedler
2010	—	`—`	Geometric Algorithms for Objects in Motion. Sorelle A. Friedler
2010	—	`conf`	Spatio-temporal Range Searching over Compressed Kinetic Sensor Data. ESA (1) Sorelle A. Friedler, David M. Mount
2009	C	`conf`	Compressing Kinetic Data from Sensor Networks. ALGOSENSORS Sorelle A. Friedler, David M. Mount
2008	J	`jnl`	Enabling teachers to explore grade patterns to identify individual needs and promote fairer student assessment. Comput. Educ. Sorelle A. Friedler, Yee Lin Tan, Nir J. Peer, Ben Shneiderman