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2023 European Conference on Computing in Construction 40th…
https://drf.eng.cam.ac.uk/sites/drf.eng.cam.ac.uk/files/ec32023_jinying_xu_261.pdf22 Mar 2024: are determined based on very broad boundaries, based on. interconnected economic sector information, and macro. -
People – Cambridge Centre for Earth Observation
https://eo.conservation.cam.ac.uk/people/22 Mar 2024: This interdisciplinary approach has contributed to a deeper understanding of the dynamics and impacts of various environmental and socio-economic factors. ... PhD Student. Amandine Debus is deeply interested in the convergence of Earth Observation and -
Beyond Distributive Fairness in Algorithmic Decision Making: Feature…
https://mlg.eng.cam.ac.uk/adrian/AAAI18-BeyondDistributiveFairness.pdf21 Mar 2024: Prior work in economics, law, and political science dis-tinguishes between direct and indirect discrimination, sug-gesting that the “wrong” of direct discrimination (which weidentify with violating process fairness) should be ... In Univer-sity of -
Orthogonal Estimation of Wasserstein Distances Mark Rowland∗1 Jiri…
https://mlg.eng.cam.ac.uk/adrian/AISTATS19-slicedwasserstein.pdf21 Mar 2024: physics (Jordan et al., 1998) and economics(Galichon, 2016), and are increasingly used in machinelearning (Arjovsky et al., 2017; Gulrajani et al., 2017;Peyré and Cuturi, 2018). -
The Case for Process Fairness in Learning:Feature Selection for ...
https://mlg.eng.cam.ac.uk/adrian/grgic.pdf21 Mar 2024: 3. Prior literature in social, economic, legal, and political sciences distinguishing between directdiscrimination and indirect discrimination makes similar observations as we do in this paper. -
Discovering Interpretable Representations for Both Deep Generative…
https://mlg.eng.cam.ac.uk/adrian/ICML18-Discovering.pdf21 Mar 2024: 1. IntroductionLearning interpretable data representations is becomingever more important as machine learning models grow insize and complexity, and as applications reach critical so-cial, economic and public health domains. -
A Unified Approach to Quantifying Algorithmic Unfairness: Measuring…
https://mlg.eng.cam.ac.uk/adrian/KDD2018_inequality_indices.pdf21 Mar 2024: Our core idea is to use existing inequalityindices from economics to measure how unequally the outcomes ofan algorithm benefit different individuals or groups in a population.Our work offers a justified ... In this paper, we propose to quantify -
Clamping Variables and Approximate Inference Adrian WellerColumbia…
https://mlg.eng.cam.ac.uk/adrian/NeurIPS14-clamp.pdf21 Mar 2024: In UAI, 2009. P. Milgrom. The envelope theorems. Department of Economics, Standford University, Mimeo, 1999. -
From Parity to Preference-based Notionsof Fairness in Classification…
https://mlg.eng.cam.ac.uk/adrian/NeurIPS17-from-parity-to-preference.pdf21 Mar 2024: In this paper, we draw inspiration from the fair-division and envy-freeness literature in economics and game theory and proposepreference-based notions of fairness—given the choice between various sets ... In this work, we introduce, formalize and -
Methods for Inference in Graphical Models
https://mlg.eng.cam.ac.uk/adrian/phd_FINAL.pdf21 Mar 2024: cave functions. They have attracted attention in combinatorics (Lovász, 1983), economics (Topkis,.
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