Adrian Weller
Adrian Weller
Principal Research Fellow, Machine Learning, University of Cambridge
Verified email at eng.cam.ac.uk - Homepage
TitleCited byYear
Challenges for Transparency
A Weller
ICML 2017 Workshop on Human Interpretability (extended version available as …, 2017
622017
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
602017
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
48*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
392018
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
352018
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
352009
Beyond Distributive Fairness in Algorithmic Decision Making: Feature Selection for Procedurally Fair Learning
N Grgic-Hlaca, MB Zafar, KP Gummadi, A Weller
30*
Approximating the Bethe Partition Function
A Weller, T Jebara
Uncertainty in Artificial Intelligence, 2014
282014
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
272016
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
232018
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
192018
Tightness of LP relaxations for almost balanced models
A Weller, M Rowland, D Sontag
Artificial Intelligence and Statistics, 47-55, 2016
192016
Understanding the Bethe Approximation: When and How can it go Wrong?
A Weller, K Tang, D Sontag, T Jebara
Uncertainty in Artificial Intelligence, 2014
192014
The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings
KM Choromanski, M Rowland, A Weller
Advances in Neural Information Processing Systems, 218-227, 2017
16*2017
The 2010 LABROSA chord recognition system
D Ellis, A Weller
Proc. of ISMIR (MIREX), 2010
162010
Clamping variables and approximate inference
A Weller, T Jebara
Advances in Neural Information Processing Systems, 909-917, 2014
152014
Bethe Bounds and Approximating the Global Optimum
A Weller, T Jebara
JMLR (AISTATS) 31, 618-631, 2013
152013
Purple feed: Identifying high consensus news posts on social media
M Babaei, J Kulshrestha, A Chakraborty, F Benevenuto, KP Gummadi, ...
Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 10-16, 2018
122018
Train and Test Tightness of LP Relaxations in Structured Prediction
O Meshi, M Mahdavi, A Weller, D Sontag
International conference on machine learning (ICML), 2016
122016
On MAP inference by MWSS on Perfect Graphs
A Weller, T Jebara
Uncertainty in Artificial Intelligence, 2013
112013
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