Muhammad Bilal Zafar

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	Visi	Nuo 2020
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Krishna P. GummadiHead, Networked Systems Group, MPI-SWSPatvirtintas el. paštas mpi-sws.org
Manuel Gomez RodriguezFaculty, Max Planck Institute for Software Systems (MPI-SWS)Patvirtintas el. paštas mpi-sws.org
Isabel ValeraSaarland University and Max Planck Institute for Software SystemsPatvirtintas el. paštas cs.uni-saarland.de
Michele DoniniHelsingPatvirtintas el. paštas helsing.ai
Adrian WellerDirector of Research, Machine Learning, University of CambridgePatvirtintas el. paštas eng.cam.ac.uk
Krishnaram KenthapadiOracle Health AIPatvirtintas el. paštas CS.Stanford.EDU
Saptarshi GhoshDepartment of CSE, Indian Institute of Technology Kharagpur, IndiaPatvirtintas el. paštas cse.iitkgp.ac.in
Sanjiv DasSanta Clara UniversityPatvirtintas el. paštas scu.edu
Cédric ArchambeauDirector of AI at Helsing. Ex Principal Applied Scientist at AWS.Patvirtintas el. paštas helsing.ai
Niloy GangulyDepartment of CSE, Indian Institute of Technology, KharagpurPatvirtintas el. paštas cse.iitkgp.ac.in
Parantapa BhattacharyaResearch Scientist, Biocomplexity Institute & Initiative, University of VirginiaPatvirtintas el. paštas virginia.edu
Juhi KulshresthaDepartment of Computer Science, Aalto UniversityPatvirtintas el. paštas aalto.fi
Till SpeicherPhD student, Planck Institute for Software Systems (MPI-SWS)Patvirtintas el. paštas mpi-sws.org
Motahhare EslamiCarnegie Mellon UniversityPatvirtintas el. paštas andrew.cmu.edu
Karrie KarahaliosUniversity of IllinoisPatvirtintas el. paštas cs.uiuc.edu
Adish SinglaTenured Faculty, Max Planck Institute for Software Systems (MPI-SWS), GermanyPatvirtintas el. paštas mpi-sws.org
Robin SchmuckerPostdoctoral Researcher, CMU and UC BerkeleyPatvirtintas el. paštas cs.cmu.edu
Hoda HeidariCarnegie Mellon UniversityPatvirtintas el. paštas cmu.edu
Aniket KatePurdue University / Supra ResearchPatvirtintas el. paštas purdue.edu
Valerio PerroneApplied Science Manager, AmazonPatvirtintas el. paštas amazon.com

Stebėti

Muhammad Bilal Zafar

Ruhr University Bochum & Research Center for Trustworthy Data Science and Security

Patvirtintas el. paštas rub.de - Pagrindinis puslapis

Algorithmic Fairness Interpretability Ethical AI


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Fairness Constraints: Mechanisms for Fair Classification MB Zafar, I Valera, MG Rodriguez, KP Gummadi 20th International Conference on Artificial Intelligence and Statistics …, 2017	1582	2017
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment MB Zafar, I Valera, MG Rodriguez, KP Gummadi 26th International World Wide Web Conference (WWW), 2017	1489	2017
Fairness constraints: A flexible approach for fair classification MB Zafar, I Valera, M Gomez-Rodriguez, KP Gummadi Journal of Machine Learning Research 20 (75), 1-42, 2019	454	2019
A unified approach to quantifying algorithmic unfairness: Measuring individual &group unfairness via inequality indices T Speicher, H Heidari, N Grgic-Hlaca, KP Gummadi, A Singla, A Weller, ... Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018	352	2018
The Case for Process Fairness in Learning: Feature Selection for Fair Decision Making N Grgic-Hlaca, MB Zafar, KP Gummadi, A Weller NIPS Symposium on ML and the Law, 2016	296	2016
Quantifying Search Bias: Investigating Sources of Bias for Political Searches in Social Media J Kulshrestha, M Eslami, J Messias, MB Zafar, S Ghosh, I Shibpur, ... 20th ACM Conference on Computer-Supported Cooperative Work and Social …, 2017	283	2017
From Parity to Preference-based Notions of Fairness in Classification MB Zafar, I Valera, MG Rodriguez, KP Gummadi, A Weller 31st Conference on Neural Information Processing Systems (NIPS), 2017	282	2017
Beyond Distributive Fairness in Algorithmic Decision Making: Feature Selection for Procedurally Fair Learning N Grgic-Hlaca, MB Zafar, KP Gummadi, A Weller 32nd AAAI Conference on Artificial Intelligence (AAAI-18), 2018	261	2018
Inferring User Interests in the Twitter Social Network P Bhattacharya, MB Zafar, N Ganguly, S Ghosh, KP Gummadi 8th ACM Conference on Recommender Systems (RecSys), 2014	162	2014
Search bias quantification: investigating political bias in social media and web search J Kulshrestha, M Eslami, J Messias, MB Zafar, S Ghosh, KP Gummadi, ... Information Retrieval Journal 22, 188-227, 2019	142	2019
On Sampling the Wisdom of Crowds: Random vs. Expert Sampling of the Twitter Stream S Ghosh, MB Zafar, P Bhattacharya, N Sharma, N Ganguly, K Gummadi 22nd ACM International Conference on Information & Knowledge Management …, 2013	95	2013
Fair bayesian optimization V Perrone, M Donini, MB Zafar, R Schmucker, K Kenthapadi, ... Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 854-863, 2021	92	2021
Listening to Whispers of Ripple: Linking Wallets and Deanonymizing Transactions in the Ripple Network P Moreno-Sanchez, MB Zafar, A Kate Privacy Enhancing Technologies Symposium (PETS), 2016	89	2016
Characterizing Information Diets of Social Media Users J Kulshrestha, MB Zafar, LE Noboa, KP Gummadi, S Ghosh 9th International AAAI Conference on Web and Social Media (ICWSM), 2015	59	2015
Amazon sagemaker clarify: Machine learning bias detection and explainability in the cloud M Hardt, X Chen, X Cheng, M Donini, J Gelman, S Gollaprolu, J He, ... Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021	58	2021
Sampling Content from Online Social Networks: Comparing Random vs. Expert Sampling of the Twitter Stream MB Zafar, P Bhattacharya, N Ganguly, KP Gummadi, S Ghosh ACM Transactions on the Web (TWEB), 2015	58	2015
Strength in Numbers: Robust Tamper Detection in Crowd Computations B Viswanath, MA Bashir, MB Zafar, S Bouget, S Guha, KP Gummadi, ... 2015 ACM Conference on Online Social Networks (COSN), 2015	57	2015
Deep Twitter Diving: Exploring Topical Groups in Microblogs at Scale P Bhattacharya, S Ghosh, J Kulshrestha, M Mondal, MB Zafar, N Ganguly, ... 17th ACM Conference on Computer-Supported Cooperative Work & Social …, 2014	54	2014
Amazon sagemaker model monitor: A system for real-time insights into deployed machine learning models D Nigenda, Z Karnin, MB Zafar, R Ramesha, A Tan, M Donini, ... Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022	50	2022
On Fairness, Diversity and Randomness in Algorithmic Decision Making N Grgić-Hlača, MB Zafar, KP Gummadi, A Weller 4th Workshop on Fairness, Accountability, and Transparency in Machine …, 2017	44	2017

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