Sorelle A. Friedler

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 44

Top Venues

University of Maryland, College Park, MD, USA (PHD)

Education History

University of Maryland, College Park, MD, USA

PHD

Publications

Yaaseen Mahomed, Charlie M. Crawford, Sanjana Gautam, Sorelle A. Friedler, Danaë Metaxa
Auditing GPT's Content Moderation Guardrails: Can ChatGPT Write Your Favorite TV Show? FAccT (2024)
Mohsen Abbasi, Calvin Barrett, Kristian Lum, Sorelle A. Friedler, Suresh Venkatasubramanian
Measuring and mitigating voting access disparities: a study of race and polling locations in Florida and North Carolina. FAccT (2023)
Ashkan Bashardoust, Sorelle A. Friedler, Carlos Scheidegger, Blair D. Sullivan, Suresh Venkatasubramanian
Reducing Access Disparities in Networks using Edge Augmentation✱. FAccT (2023)
Mohsen Abbasi, Suresh Venkatasubramanian, Sorelle A. Friedler, Kristian Lum, Calvin Barrett
Measuring and mitigating voting access disparities: a study of race and polling locations in Florida and North Carolina. CoRR (2022)
Kathi Fisler, Sorelle A. Friedler, Kevin Lin, Suresh Venkatasubramanian
Approaches for Weaving Responsible Computing into Data Structures and Algorithms Courses. SIGCSE (2) (2022)
Ashkan Bashardoust, Sorelle A. Friedler, Carlos Eduardo Scheidegger, Blair D. Sullivan, Suresh Venkatasubramanian
Reducing Access Disparities in Networks using Edge Augmentation. CoRR (2022)
Suresh Venkatasubramanian, Carlos Scheidegger, Sorelle A. Friedler, Aaron Clauset
Fairness in Networks: Social Capital, Information Access, and Interventions. KDD (2021)
Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian
The (Im)possibility of fairness: different value systems require different mechanisms for fair decision making. Commun. ACM 64 (4) (2021)
Indra Kumar, Carlos Scheidegger, Suresh Venkatasubramanian, Sorelle A. Friedler
Shapley Residuals: Quantifying the limits of the Shapley value for explanations. NeurIPS (2021)
Hannah C. Beilinson, Nasanbayar Ulzii-Orshikh, Ashkan Bashardoust, Sorelle A. Friedler, Carlos Eduardo Scheidegger, Suresh Venkatasubramanian
Clustering via Information Access in a Network. CoRR (2020)
I. Elizabeth Kumar, Suresh Venkatasubramanian, Carlos Scheidegger, Sorelle A. Friedler
Problems with Shapley-value-based explanations as feature importance measures. CoRR (2020)
Dylan Slack, Sorelle A. Friedler, Emile Givental
Fairness warnings and fair-MAML: learning fairly with minimal data. FAT* (2020)
I. Elizabeth Kumar, Suresh Venkatasubramanian, Carlos Scheidegger, Sorelle A. Friedler
Problems with Shapley-value-based explanations as feature importance measures. ICML (2020)
Benjamin Fish, Ashkan Bashardoust, danah boyd, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian
Gaps in Information Access in Social Networks? WWW (2019)
Sorelle A. Friedler, Chitradeep Dutta Roy, Carlos Scheidegger, Dylan Slack
Assessing the Local Interpretability of Machine Learning Models. CoRR (2019)
Mohsen Abbasi, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian
Fairness in representation: quantifying stereotyping as a representational harm. CoRR (2019)
Harry A. Levin, Sorelle A. Friedler
Automated Congressional Redistricting. ACM J. Exp. Algorithmics 24 (1) (2019)
Dylan Slack, Sorelle A. Friedler, Emile Givental
Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data. CoRR (2019)
Charles T. Marx, Richard Lanas Phillips, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian
Disentangling Influence: Using Disentangled Representations to Audit Model Predictions. CoRR (2019)
Andrew D. Selbst, danah boyd, Sorelle A. Friedler, Suresh Venkatasubramanian, Janet Vertesi
Fairness and Abstraction in Sociotechnical Systems. FAT (2019)
Benjamin Fish, Ashkan Bashardoust, danah boyd, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian
Gaps in Information Access in Social Networks. CoRR (2019)
Dylan Slack, Sorelle A. Friedler, Emile Givental
Fair Meta-Learning: Learning How to Learn Fairly. CoRR (2019)
Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian, Sonam Choudhary, Evan P. Hamilton, Derek Roth
A comparative study of fairness-enhancing interventions in machine learning. FAT (2019)
Charles T. Marx, Richard L. Phillips, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian
Disentangling Influence: Using disentangled representations to audit model predictions. NeurIPS (2019)
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
Anthropogenic biases in chemical reaction data hinder exploratory inorganic synthesis. Nat. 573 (7773) (2019)
Kadan Lottick, Silvia Susai, Sorelle A. Friedler, Jonathan P. Wilson
Energy Usage Reports: Environmental awareness as part of algorithmic accountability. CoRR (2019)
Mohsen Abbasi, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian
Fairness in representation: quantifying stereotyping as a representational harm. SDM (2019)
Philip Adler, Casey Falk, Sorelle A. Friedler, Tionney Nix, Gabriel Rybeck, Carlos Scheidegger, Brandon Smith, Suresh Venkatasubramanian
Auditing black-box models for indirect influence. Knowl. Inf. Syst. 54 (1) (2018)
Danielle Ensign, Sorelle A. Friedler, Scott Neville, Carlos Scheidegger, Suresh Venkatasubramanian
Runaway Feedback Loops in Predictive Policing. FAT (2018)
Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian, Sonam Choudhary, Evan P. Hamilton, Derek Roth
A comparative study of fairness-enhancing interventions in machine learning. CoRR (2018)
Danielle Ensign, Sorelle A. Friedler, Scott Neville, Carlos Eduardo Scheidegger, Suresh Venkatasubramanian
Decision making with limited feedback. ALT (2018)
Sorelle A. Friedler
Optimizing Society? Ensuring Fairness in Automated Decision-Making (Invited Talk). SWAT (2018)
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
NSF BIGDATA PI Meeting - Domain-Specific Research Directions and Data Sets. SIGMOD Rec. 47 (3) (2018)
Richard L. Phillips, Kyu Hyun Chang, Sorelle A. Friedler
Interpretable Active Learning. FAT (2018)
Solon Barocas, danah boyd, Sorelle A. Friedler, Hanna M. Wallach
Social and Technical Trade-Offs in Data Science. Big Data 5 (2) (2017)
Richard L. Phillips, Kyu Hyun Chang, Sorelle A. Friedler
Interpretable Active Learning. CoRR (2017)
Danielle Ensign, Sorelle A. Friedler, Scott Neville, Carlos Eduardo Scheidegger, Suresh Venkatasubramanian
Runaway Feedback Loops in Predictive Policing. CoRR (2017)
Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian
On the (im)possibility of fairness. CoRR (2016)
Philip Adler, Casey Falk, Sorelle A. Friedler, Gabriel Rybeck, Carlos Scheidegger, Brandon Smith, Suresh Venkatasubramanian
Auditing Black-Box Models for Indirect Influence. ICDM (2016)
F. Betül Atalay, Sorelle A. Friedler, Dianna Xu
Convex Hull for Probabilistic Points. SIBGRAPI (2016)
Paul Raccuglia, Katherine C. Elbert, Philip Adler, Casey Falk, Malia B. Wenny, Aurelio Mollo, Matthias Zeller, Sorelle A. Friedler, Joshua Schrier, Alexander J. Norquist
Machine-learning-assisted materials discovery using failed experiments. Nat. 533 (7601) (2016)
Philip Adler, Casey Falk, Sorelle A. Friedler, Gabriel Rybeck, Carlos Scheidegger, Brandon Smith, Suresh Venkatasubramanian
Auditing Black-box Models by Obscuring Features. CoRR (2016)
Michael Feldman, Sorelle A. Friedler, John Moeller, Carlos Scheidegger, Suresh Venkatasubramanian
Certifying and Removing Disparate Impact. KDD (2015)
Sorelle A. Friedler, David M. Mount
A sensor-based framework for kinetic data compression. Comput. Geom. 48 (3) (2015)
F. Betül Atalay, Sorelle A. Friedler, Dianna Xu
Convex Hull for Probabilistic Points. CoRR (2014)
Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian
Certifying and removing disparate impact. CoRR (2014)
Sorelle A. Friedler
Review of pioneering women in american mathematics: the pre-1940 PhD's by Judy Green and Jeanne LaDuke. SIGACT News 42 (2) (2011)
Sorelle A. Friedler, David M. Mount
Spatio-temporal Range Searching over Compressed Kinetic Sensor Data. ESA (1) (2010)
Sorelle A. Friedler, David M. Mount
Approximation algorithm for the kinetic robust K-center problem. Comput. Geom. 43 (6-7) (2010)
Sorelle A. Friedler
Change is possible: stories of women and minorities in mathematics by Patricia Clark Kenschaft, published by AMS, 2005 212 pages, softcover. SIGACT News 41 (2) (2010)
Sorelle A. Friedler, David M. Mount
Compressing Kinetic Data from Sensor Networks. ALGOSENSORS (2009)
Sorelle A. Friedler, Yee Lin Tan, Nir J. Peer, Ben Shneiderman
Enabling teachers to explore grade patterns to identify individual needs and promote fairer student assessment. Comput. Educ. 51 (4) (2008)

Sorelle A. Friedler.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Sorelle A. Friedler