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Sorelle A. Friedler
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- affiliation: Haverford College
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2020 – today
- 2024
- [c23]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: 660-686 - [i20]Dennis Robert Windham, Caroline J. Wendt, Alex Crane, Sorelle A. Friedler, Blair D. Sullivan, Aaron Clauset:
Fast algorithms to improve fair information access in networks. CoRR abs/2409.03127 (2024) - [i19]Oghenefejiro Isaacs Anigboro, Charlie M. Crawford, Danaë Metaxa, Sorelle A. Friedler:
Identity-related Speech Suppression in Generative AI Content Moderation. CoRR abs/2409.13725 (2024) - 2023
- [c22]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: 1038-1048 - [c21]Ashkan Bashardoust, Sorelle A. Friedler, Carlos Scheidegger, Blair D. Sullivan, Suresh Venkatasubramanian:
Reducing Access Disparities in Networks using Edge Augmentation✱. FAccT 2023: 1635-1651 - 2022
- [c20]Lydia Reader, Pegah Nokhiz, Cathleen Power, Neal Patwari, Suresh Venkatasubramanian, Sorelle A. Friedler:
Models for understanding and quantifying feedback in societal systems. FAccT 2022: 1765-1775 - [c19]Kathi Fisler, Sorelle A. Friedler, Kevin Lin, Suresh Venkatasubramanian:
Approaches for Weaving Responsible Computing into Data Structures and Algorithms Courses. SIGCSE (2) 2022: 1049-1050 - [i18]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 abs/2205.14867 (2022) - [i17]Ashkan Bashardoust, Sorelle A. Friedler, Carlos Eduardo Scheidegger, Blair D. Sullivan, Suresh Venkatasubramanian:
Reducing Access Disparities in Networks using Edge Augmentation. CoRR abs/2209.07616 (2022) - 2021
- [j12]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): 136-143 (2021) - [c18]Suresh Venkatasubramanian, Carlos Scheidegger, Sorelle A. Friedler, Aaron Clauset:
Fairness in Networks: Social Capital, Information Access, and Interventions. KDD 2021: 4078-4079 - [c17]Indra Kumar, Carlos Scheidegger, Suresh Venkatasubramanian, Sorelle A. Friedler:
Shapley Residuals: Quantifying the limits of the Shapley value for explanations. NeurIPS 2021: 26598-26608 - 2020
- [c16]Dylan Slack, Sorelle A. Friedler, Emile Givental:
Fairness warnings and fair-MAML: learning fairly with minimal data. FAT* 2020: 200-209 - [c15]I. Elizabeth Kumar, Suresh Venkatasubramanian, Carlos Scheidegger, Sorelle A. Friedler:
Problems with Shapley-value-based explanations as feature importance measures. ICML 2020: 5491-5500 - [i16]I. Elizabeth Kumar, Suresh Venkatasubramanian, Carlos Scheidegger, Sorelle A. Friedler:
Problems with Shapley-value-based explanations as feature importance measures. CoRR abs/2002.11097 (2020) - [i15]Hannah C. Beilinson, Nasanbayar Ulzii-Orshikh, Ashkan Bashardoust, Sorelle A. Friedler, Carlos Eduardo Scheidegger, Suresh Venkatasubramanian:
Clustering via Information Access in a Network. CoRR abs/2010.12611 (2020)
2010 – 2019
- 2019
- [j11]Harry A. Levin, Sorelle A. Friedler:
Automated Congressional Redistricting. ACM J. Exp. Algorithmics 24(1): 1.10:1-1.10:24 (2019) - [j10]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): 251-255 (2019) - [c14]Andrew D. Selbst, danah boyd, Sorelle A. Friedler, Suresh Venkatasubramanian, Janet Vertesi:
Fairness and Abstraction in Sociotechnical Systems. FAT 2019: 59-68 - [c13]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: 329-338 - [c12]Charles T. Marx, Richard L. Phillips, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian:
Disentangling Influence: Using disentangled representations to audit model predictions. NeurIPS 2019: 4498-4508 - [c11]Mohsen Abbasi, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian:
Fairness in representation: quantifying stereotyping as a representational harm. SDM 2019: 801-809 - [c10]Benjamin Fish, Ashkan Bashardoust, danah boyd, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian:
Gaps in Information Access in Social Networks? WWW 2019: 480-490 - [i14]Mohsen Abbasi, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian:
Fairness in representation: quantifying stereotyping as a representational harm. CoRR abs/1901.09565 (2019) - [i13]Sorelle A. Friedler, Chitradeep Dutta Roy, Carlos Scheidegger, Dylan Slack:
Assessing the Local Interpretability of Machine Learning Models. CoRR abs/1902.03501 (2019) - [i12]Benjamin Fish, Ashkan Bashardoust, danah boyd, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian:
Gaps in Information Access in Social Networks. CoRR abs/1903.02047 (2019) - [i11]Charles T. Marx, Richard Lanas Phillips, Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian:
Disentangling Influence: Using Disentangled Representations to Audit Model Predictions. CoRR abs/1906.08652 (2019) - [i10]Dylan Slack, Sorelle A. Friedler, Emile Givental:
Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data. CoRR abs/1908.09092 (2019) - [i9]Dylan Slack, Sorelle A. Friedler, Emile Givental:
Fair Meta-Learning: Learning How to Learn Fairly. CoRR abs/1911.04336 (2019) - [i8]Kadan Lottick, Silvia Susai, Sorelle A. Friedler, Jonathan P. Wilson:
Energy Usage Reports: Environmental awareness as part of algorithmic accountability. CoRR abs/1911.08354 (2019) - 2018
- [j9]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): 95-122 (2018) - [j8]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): 32-35 (2018) - [c9]Danielle Ensign, Sorelle A. Friedler, Scott Neville, Carlos Eduardo Scheidegger, Suresh Venkatasubramanian:
Decision making with limited feedback. ALT 2018: 359-367 - [c8]Richard L. Phillips, Kyu Hyun Chang, Sorelle A. Friedler:
Interpretable Active Learning. FAT 2018: 49-61 - [c7]Danielle Ensign, Sorelle A. Friedler, Scott Neville, Carlos Scheidegger, Suresh Venkatasubramanian:
Runaway Feedback Loops in Predictive Policing. FAT 2018: 160-171 - [c6]Sorelle A. Friedler:
Optimizing Society? Ensuring Fairness in Automated Decision-Making (Invited Talk). SWAT 2018: 2:1-2:1 - [e1]Sorelle A. Friedler, Christo Wilson:
Conference on Fairness, Accountability and Transparency, FAT 2018, 23-24 February 2018, New York, NY, USA. Proceedings of Machine Learning Research 81, PMLR 2018 [contents] - [i7]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 abs/1802.04422 (2018) - 2017
- [j7]Solon Barocas, danah boyd, Sorelle A. Friedler, Hanna M. Wallach:
Social and Technical Trade-Offs in Data Science. Big Data 5(2): 71-72 (2017) - [i6]Danielle Ensign, Sorelle A. Friedler, Scott Neville, Carlos Eduardo Scheidegger, Suresh Venkatasubramanian:
Runaway Feedback Loops in Predictive Policing. CoRR abs/1706.09847 (2017) - [i5]Richard L. Phillips, Kyu Hyun Chang, Sorelle A. Friedler:
Interpretable Active Learning. CoRR abs/1708.00049 (2017) - 2016
- [j6]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): 73-76 (2016) - [c5]Philip Adler, Casey Falk, Sorelle A. Friedler, Gabriel Rybeck, Carlos Scheidegger, Brandon Smith, Suresh Venkatasubramanian:
Auditing Black-Box Models for Indirect Influence. ICDM 2016: 1-10 - [c4]F. Betül Atalay, Sorelle A. Friedler, Dianna Xu:
Convex Hull for Probabilistic Points. SIBGRAPI 2016: 48-55 - [i4]Philip Adler, Casey Falk, Sorelle A. Friedler, Gabriel Rybeck, Carlos Scheidegger, Brandon Smith, Suresh Venkatasubramanian:
Auditing Black-box Models by Obscuring Features. CoRR abs/1602.07043 (2016) - [i3]Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian:
On the (im)possibility of fairness. CoRR abs/1609.07236 (2016) - 2015
- [j5]Sorelle A. Friedler, David M. Mount:
A sensor-based framework for kinetic data compression. Comput. Geom. 48(3): 147-168 (2015) - [c3]Michael Feldman, Sorelle A. Friedler, John Moeller, Carlos Scheidegger, Suresh Venkatasubramanian:
Certifying and Removing Disparate Impact. KDD 2015: 259-268 - 2014
- [i2]F. Betül Atalay, Sorelle A. Friedler, Dianna Xu:
Convex Hull for Probabilistic Points. CoRR abs/1412.1039 (2014) - [i1]Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian:
Certifying and removing disparate impact. CoRR abs/1412.3756 (2014) - 2011
- [j4]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): 37-41 (2011) - 2010
- [b1]Sorelle A. Friedler:
Geometric Algorithms for Objects in Motion. University of Maryland, College Park, MD, USA, 2010 - [j3]Sorelle A. Friedler, David M. Mount:
Approximation algorithm for the kinetic robust K-center problem. Comput. Geom. 43(6-7): 572-586 (2010) - [j2]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): 47-50 (2010) - [c2]Sorelle A. Friedler, David M. Mount:
Spatio-temporal Range Searching over Compressed Kinetic Sensor Data. ESA (1) 2010: 386-397
2000 – 2009
- 2009
- [c1]Sorelle A. Friedler, David M. Mount:
Compressing Kinetic Data from Sensor Networks. ALGOSENSORS 2009: 191-202 - 2008
- [j1]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): 1467-1485 (2008)
Coauthor Index
aka: Carlos Eduardo Scheidegger
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last updated on 2024-10-16 21:21 CEST by the dblp team
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