Adrian Weller
Adrian Weller
Principal Research Fellow, Machine Learning, University of Cambridge
Verified email at eng.cam.ac.uk - Homepage
Title
Cited by
Cited by
Year
Accountability of AI under the law: The role of explanation
F Doshi-Velez, M Kortz, R Budish, C Bavitz, S Gershman, D O'Brien, ...
arXiv preprint arXiv:1711.01134, 2017
1882017
Concrete problems for autonomous vehicle safety: Advantages of Bayesian deep learning
R McAllister, Y Gal, A Kendall, M van der Wilk, A Shah, R Cipolla, ...
International Joint Conference on Artificial Intelligence (IJCAI), 2017
148*2017
From parity to preference-based notions of fairness in classification
MB Zafar, I Valera, M Rodriguez, K Gummadi, A Weller
Advances in Neural Information Processing Systems, 229-239, 2017
1302017
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
1162018
Challenges for Transparency
A Weller
ICML 2017 Workshop on Human Interpretability (extended version available as …, 2017
1012017
Beyond distributive fairness in algorithmic decision making: Feature selection for procedurally fair learning
N Grgić-Hlača, MB Zafar, KP Gummadi, A Weller
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
862018
Human perceptions of fairness in algorithmic decision making: A case study of criminal risk prediction
N Grgic-Hlaca, EM Redmiles, KP Gummadi, A Weller
Proceedings of the 2018 World Wide Web Conference, 903-912, 2018
842018
Explainable machine learning in deployment
U Bhatt, A Xiang, S Sharma, A Weller, A Taly, Y Jia, J Ghosh, R Puri, ...
Proceedings of the 2020 Conference on Fairness, Accountability, and …, 2020
782020
The Case for Process Fairness in Learning: Feature Selection for Fair Decision Making
N Grgic-Hlaca, MB Zafar, KP Gummadi, A Weller
NeurIPS Symposium on ML and the Law, 2016
682016
Structured Evolution with Compact Architectures for Scalable Policy Optimization
K Choromanski, M Rowland, V Sindhwani, RE Turner, A Weller
ICML, or arXiv preprint arXiv:1804.02395, 2018
672018
Leveraging data science to combat COVID-19: A comprehensive review
S Latif, M Usman, S Manzoor, W Iqbal, J Qadir, G Tyson, I Castro, A Razi, ...
IEEE Transactions on Artificial Intelligence, 2020
562020
Blind Justice: Fairness with Encrypted Sensitive Attributes
N Kilbertus, A Gascón, MJ Kusner, M Veale, KP Gummadi, A Weller
ICML, or arXiv preprint arXiv:1806.03281, 2018
502018
Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims
M Brundage, S Avin, J Wang, H Belfield, G Krueger, G Hadfield, H Khlaaf, ...
arXiv preprint arXiv:2004.07213, 2020
392020
The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings
KM Choromanski, M Rowland, A Weller
Advances in Neural Information Processing Systems, 218-227, 2017
39*2017
Discovering Interpretable Representations for Both Deep Generative and Discriminative Models
T Adel, Z Ghahramani, A Weller
International Conference on Machine Learning, 50-59, 2018
372018
Structured prediction models for chord transcription of music audio
A Weller, D Ellis, T Jebara
2009 International Conference on Machine Learning and Applications, 590-595, 2009
372009
Approximating the Bethe Partition Function
A Weller, T Jebara
Uncertainty in Artificial Intelligence, 2014
352014
Rethinking Attention with Performers
K Choromanski, V Likhosherstov, D Dohan, X Song, A Gane, T Sarlos, ...
arXiv preprint arXiv:2009.14794, 2020
342020
Transparency: motivations and challenges
A Weller
Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, 23-40, 2019
312019
Understanding the Bethe Approximation: When and How can it go Wrong?
A Weller, K Tang, D Sontag, T Jebara
Uncertainty in Artificial Intelligence, 2014
312014
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Articles 1–20