Number of items: 18.
Cave, SJ and Nyrup, R and Vold, K and Weller, A (2018) Motivations and Risks of Machine Ethics[40pt]. Proceedings of the IEEE. ISSN 0018-9219
Balog, M and Tripuraneni, N and Ghahramani, Z and Weiler, A (2017) Lost relatives of the Gumbel trick. 34th International Conference on Machine Learning, ICML 2017, 1. pp. 588-606.
Weller, A and Jebara, T Approximating the Bethe partition function. (Unpublished)
Weller, A and Jebara, T Bethe Bounds and Approximating the Global Optimum. (Unpublished)
Kilbertus, N and Gascón, A and Kusner, MJ and Veale, M and Gummadi, KP and Weller, A Blind Justice: Fairness with Encrypted Sensitive Attributes. PMLR, 80. pp. 2630-2639. (Unpublished)
Ahn, S and Chertkov, M and Weller, A and Shin, J Bucket Renormalization for Approximate Inference. (Unpublished)
Weller, A Challenges for Transparency. (Unpublished)
Weller, A and Domke, J Clamping Improves TRW and Mean Field Approximations. (Unpublished)
Zafar, MB and Valera, I and Rodriguez, MG and Gummadi, KP and Weller, A From Parity to Preference-based Notions of Fairness in Classification. (Unpublished)
Ahn, S and Chertkov, M and Shin, J and Weller, A Gauged Mini-Bucket Elimination for Approximate Inference. (Unpublished)
Grgić-Hlača, N and Redmiles, EM and Gummadi, KP and Weller, A Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction. (Unpublished)
Grgić-Hlača, N and Zafar, MB and Gummadi, KP and Weller, A On Fairness, Diversity and Randomness in Algorithmic Decision Making. (Unpublished)
Kim, B and Varshney, KR and Weller, A Proceedings of the 2018 ICML Workshop on Human Interpretability in Machine Learning (WHI 2018). (Unpublished)
Speicher, T and Heidari, H and Grgic-Hlaca, N and Gummadi, KP and Singla, A and Weller, A and Zafar, MB A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices. (Unpublished)
Choromanski, K and Rowland, M and Weller, A The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings. (Unpublished)
Conference or Workshop Item
McAllister, R and Gal, Y and Kendall, A and Van Der Wilk, M and Shah, A and Cipolla, R and Weller, A (2017) Concrete problems for autonomous vehicle safety: Advantages of Bayesian deep learning. In: IJCAI-17, 2017-8-19 to 2017-8-25, Melbourne, Australia pp. 4745-4753..
Grgic-Hlaca, N and Zafar, MB and Gummadi, KP and Weller, A Beyond Distributive Fairness in Algorithmic Decision Making: Feature Selection for Procedurally Fair Learning. In: AAAI 2018, 2018-2-2 to --. (Unpublished)
Balog, M and Tripuraneni, N and Ghahramani, Z and Weller, A Lost Relatives of the Gumbel Trick. In: ICML 2017, 2017-8-6 to 2017-8-11, International Conference Centre, Sydney, Australia. (Unpublished)