Department of Engineering

Dr Adrian Weller - Publications

Number of items: 52.

Article

Bhatt, U and Antorán, J and Zhang, Y and Liao, QV and Sattigeri, P and Fogliato, R and Melançon, G and Krishnan, R and Stanley, J and Tickoo, O and Nachman, L and Chunara, R and Srikumar, M and Weller, A and Xiang, A (2021) Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty. AIES 2021 - Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society. pp. 401-413.

Coyle, D and Weller, A (2020) 'Explaining' machine learning reveals policy challenges. Science, 368. pp. 1433-1434. (Unpublished)

Cave, S and Nyrup, R and Vold, K and Weller, A (2019) Motivations and Risks of Machine Ethics. Proceedings of the IEEE, 107. pp. 562-574. ISSN 0018-9219

Weller, A (2019) Transparency: Motivations and Challenges. pp. 23-40. ISSN 0302-9743

Khajehnejad, M and Rezaei, AA and Babaei, M and Hoffmann, J and Jalili, M and Weller, A Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks. (Unpublished)

Weller, A and Jebara, T Approximating the Bethe partition function. (Unpublished)

Weller, A and Jebara, T Bethe Bounds and Approximating the Global Optimum. (Unpublished)

Ahn, S and Chertkov, M and Weller, A and Shin, J Bucket Renormalization for Approximate Inference. (Unpublished)

Ley, D and Bhatt, U and Weller, A δ-CLUE: Diverse Sets of Explanations for Uncertainty Estimates. (Unpublished)

Likhosherstov, V and Davis, J and Choromanski, K and Weller, A CWY Parametrization: a Solution for Parallelized Optimization of Orthogonal and Stiefel Matrices. (Unpublished)

Weller, A and Domke, J Clamping Improves TRW and Mean Field Approximations. (Unpublished)

Khajehnejad, A and Khajehnejad, M and Babaei, M and Gummadi, KP and Weller, A and Mirzasoleiman, B CrossWalk: Fairness-enhanced Node Representation Learning. (Unpublished)

Bakker, MA and Tu, DP and Valdés, HR and Gummadi, KP and Varshney, KR and Weller, A and Pentland, A DADI: Dynamic Discovery of Fair Information with Adversarial Reinforcement Learning. (Unpublished)

Bhatt, U and Chien, I and Zafar, MB and Weller, A DIVINE: Diverse Influential Training Points for Data Visualization and Model Refinement. (Unpublished)

Likhosherstov, V and Song, X and Choromanski, K and Davis, J and Weller, A Debiasing a First-order Heuristic for Approximate Bi-level Optimization. (Unpublished)

Grgić-Hlača, N and Weller, A and Redmiles, EM Dimensions of Diversity in Human Perceptions of Algorithmic Fairness. (Unpublished)

Wang, H and Grgic-Hlaca, N and Lahoti, P and Gummadi, KP and Weller, A An Empirical Study on Learning Fairness Metrics for COMPAS Data with Human Supervision. (Unpublished)

Bhatt, U and Weller, A and Moura, JMF Evaluating and Aggregating Feature-based Model Explanations. (Unpublished)

Bhatt, U and Xiang, A and Sharma, S and Weller, A and Taly, A and Jia, Y and Ghosh, J and Puri, R and Moura, JMF and Eckersley, P Explainable Machine Learning in Deployment. (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)

Margeloiu, A and Simidjievski, N and Jamnik, M and Weller, A Improving Interpretability in Medical Imaging Diagnosis using Adversarial Training. (Unpublished)

Kazhdan, D and Dimanov, B and Terre, HA and Jamnik, M and Liò, P and Weller, A Is Disentanglement all you need? Comparing Concept-based & Disentanglement Approaches. (Unpublished)

Teng, Y and Gao, W and Chalus, F and Choromanska, A and Goldfarb, D and Weller, A Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models. (Unpublished)

Bhatt, U and Andrus, M and Weller, A and Xiang, A Machine Learning Explainability for External Stakeholders. (Unpublished)

Choromanski, K and Likhosherstov, V and Dohan, D and Song, X and Gane, A and Sarlos, T and Hawkins, P and Davis, J and Belanger, D and Colwell, L and Weller, A Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers. (Unpublished)

Choromanski, K and Davis, JQ and Likhosherstov, V and Song, X and Slotine, J-J and Varley, J and Lee, H and Weller, A and Sindhwani, V An Ode to an ODE. (Unpublished)

Grgić-Hlača, N and Zafar, MB and Gummadi, KP and Weller, A On Fairness, Diversity and Randomness in Algorithmic Decision Making. (Unpublished)

Likhosherstov, V and Choromanski, K and Weller, A On the Expressive Power of Self-Attention Matrices. (Unpublished)

Rowland, M and Hron, J and Tang, Y and Choromanski, K and Sarlos, T and Weller, A Orthogonal Estimation of Wasserstein Distances. (Unpublished)

Kim, B and Varshney, KR and Weller, A Proceedings of the 2018 ICML Workshop on Human Interpretability in Machine Learning (WHI 2018). (Unpublished)

Choromanski, K and Likhosherstov, V and Dohan, D and Song, X and Gane, A and Sarlos, T and Hawkins, P and Davis, J and Mohiuddin, A and Kaiser, L and Belanger, D and Colwell, L and Weller, A Rethinking Attention with Performers. (Unpublished)

Knoll, C and Weller, A and Pernkopf, F Self-Guided Belief Propagation -- A Homotopy Continuation Method. (Unpublished)

Kilbertus, N and Ball, PJ and Kusner, MJ and Weller, A and Silva, R The Sensitivity of Counterfactual Fairness to Unmeasured Confounding. (Unpublished)

Choromanski, K and Cheikhi, D and Davis, J and Likhosherstov, V and Nazaret, A and Bahamou, A and Song, X and Akarte, M and Parker-Holder, J and Bergquist, J and Gao, Y and Pacchiano, A and Sarlos, T and Weller, A and Sindhwani, V Stochastic Flows and Geometric Optimization on the Orthogonal Group. (Unpublished)

Likhosherstov, V and Choromanski, K and Davis, J and Song, X and Weller, A Sub-Linear Memory: How to Make Performers SLiM. (Unpublished)

Likhosherstov, V and Song, X and Choromanski, K and Davis, J and Weller, A UFO-BLO: Unbiased First-Order Bilevel Optimization. (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 Jain, D and Parker-Holder, J and Song, X and Likhosherstov, V and Santara, A and Pacchiano, A and Tang, Y and Weller, A Unlocking Pixels for Reinforcement Learning via Implicit Attention. (Unpublished)

Book Section

Bhatnagar, S and Alexandrova, A and Avin, S and Cave, S and Cheke, L and Crosby, M and Feyereisl, J and Halina, M and Loe, BS and Ó hÉigeartaigh, S and Martínez-Plumed, F and Price, H and Shevlin, H and Weller, A and Winfield, A and Hernández-Orallo, J (2018) Mapping Intelligence: Requirements and Possibilities. In: Studies in Applied Philosophy, Epistemology and Rational Ethics. UNSPECIFIED, pp. 117-135.

Conference or Workshop Item

Dimanov, B and Bhatt, U and Jamnik, M and Weller, A (2020) You shouldn’t trust me: Learning models which conceal unfairness from multiple explanation methods. In: ECAI European Conference on Artificial Intelligence, 2020-8-29 to 2020-9-8 pp. 63-73..

Kazhdan, D and Dimanov, B and Jamnik, M and Liò, P and Weller, A (2020) Now you see me (CME): Concept-based model extraction. In: UNSPECIFIED.

Rowland, M and Choromanski, K and Chalus, F and Pacchiano, A and Sarlós, T and Turner, RE and Weller, A (2018) Geometrically coupled monte carlo sampling. In: NeurIPS 2018, -- to -- pp. 195-206..

Adel, T and Valera, I and Ghahramani, Z and Weller, A (2018) One-network adversarial fairness. In: AAAI 2019, -- to -- pp. 2412-2420..

McAllister, RT 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..

Choromanski, K and Rowland, M and Weller, A (2017) The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings. In: Neural Information Processing Systems 2017, 2017-12-4 to 2017-12-9, Long Beach Convention Center, Long Beach pp. 219-228..

Balog, M and Tripuraneni, N and Ghahramani, Z and Weiler, A (2017) Lost relatives of the Gumbel trick. In: UNSPECIFIED pp. 588-606..

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)

Kilbertus, N and Gascón, A and Kusner, MJ and Veale, M and Gummadi, KP and Weller, A Blind Justice: Fairness with Encrypted Sensitive Attributes. In: 35th International Conference on Machine Learning, 2018-7-10 to 2018-7-15, Stockholmsmässan, Stockholm Sweden pp. 2630-2639.. (Unpublished)

Antorán, J and Bhatt, U and Adel, T and Weller, A and Hernández-Lobato, JM Getting a CLUE: A Method for Explaining Uncertainty Estimates. In: ICLR 2021: Ninth International Conference on Learning Representations, 2021-5-3 to 2021-5-7. (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)

This list was generated on Sun Nov 28 17:30:07 2021 GMT.