Adrian Weller
Adrian Weller
Principal Research Fellow, Machine Learning, University of Cambridge
Verified email at - Homepage
Cited by
Cited by
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
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
Challenges for Transparency
A Weller
ICML 2017 Workshop on Human Interpretability (extended version available as …, 2017
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
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
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
Structured Evolution with Compact Architectures for Scalable Policy Optimization
K Choromanski, M Rowland, V Sindhwani, RE Turner, A Weller
arXiv preprint arXiv:1804.02395, 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
Blind Justice: Fairness with Encrypted Sensitive Attributes
N Kilbertus, A Gascón, MJ Kusner, M Veale, KP Gummadi, A Weller
arXiv preprint arXiv:1806.03281, 2018
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
Approximating the Bethe Partition Function
A Weller, T Jebara
Uncertainty in Artificial Intelligence, 2014
The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings
KM Choromanski, M Rowland, A Weller
Advances in Neural Information Processing Systems, 218-227, 2017
Understanding the Bethe Approximation: When and How can it go Wrong?
A Weller, K Tang, D Sontag, T Jebara
Uncertainty in Artificial Intelligence, 2014
Discovering Interpretable Representations for Both Deep Generative and Discriminative Models
T Adel, Z Ghahramani, A Weller
International Conference on Machine Learning, 50-59, 2018
Tightness of LP relaxations for almost balanced models
A Weller, M Rowland, D Sontag
Artificial Intelligence and Statistics, 47-55, 2016
Lost relatives of the Gumbel trick
M Balog, N Tripuraneni, Z Ghahramani, A Weller
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
Clamping variables and approximate inference
A Weller, T Jebara
Advances in Neural Information Processing Systems, 909-917, 2014
Bethe Bounds and Approximating the Global Optimum
A Weller, T Jebara
JMLR (AISTATS) 31, 618-631, 2013
The 2010 LABROSA chord recognition system
D Ellis, A Weller
Proc. of ISMIR (MIREX), 2010
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
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