Silvia Chiappa

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Fairness with Continuous Optimal Transport

Whilst optimal transport (OT) is increasingly being recognized as a powe...
01/06/2021 ∙ by Silvia Chiappa, et al. ∙ 0 ∙ share

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Fairness in Machine Learning

Machine learning based systems are reaching society at large and in many...
12/31/2020 ∙ by Luca Oneto, et al. ∙ 0 ∙ share

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Explicit-Duration Markov Switching Models

Markov switching models (MSMs) are probabilistic models that employ mult...
09/12/2019 ∙ by Silvia Chiappa, et al. ∙ 0 ∙ share

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Wasserstein Fair Classification

We propose an approach to fair classification that enforces independence...
07/28/2019 ∙ by Ray Jiang, et al. ∙ 7 ∙ share

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Unsupervised Separation of Dynamics from Pixels

We present an approach to learn the dynamics of multiple objects from im...
07/20/2019 ∙ by Silvia Chiappa, et al. ∙ 0 ∙ share

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A Causal Bayesian Networks Viewpoint on Fairness

We offer a graphical interpretation of unfairness in a dataset as the pr...
07/15/2019 ∙ by Silvia Chiappa, et al. ∙ 0 ∙ share

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Meta-learning of Sequential Strategies

In this report we review memory-based meta-learning as a tool for buildi...
05/08/2019 ∙ by Pedro A. Ortega, et al. ∙ 16 ∙ share

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Degenerate Feedback Loops in Recommender Systems

Machine learning is used extensively in recommender systems deployed in ...
02/27/2019 ∙ by Ray Jiang, et al. ∙ 14 ∙ share

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Causal Reasoning from Meta-reinforcement Learning

Discovering and exploiting the causal structure in the environment is a ...
01/23/2019 ∙ by Ishita Dasgupta, et al. ∙ 0 ∙ share

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Path-Specific Counterfactual Fairness

We consider the problem of learning fair decision systems in complex sce...
02/22/2018 ∙ by Silvia Chiappa, et al. ∙ 0 ∙ share

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Recurrent Environment Simulators

Models that can simulate how environments change in response to actions ...
04/07/2017 ∙ by Silvia Chiappa, et al. ∙ 0 ∙ share

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Unified Treatment of Hidden Markov Switching Models

Many real-world problems encountered in several disciplines deal with th...
04/11/2011 ∙ by Silvia Chiappa, et al. ∙ 0 ∙ share

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Silvia Chiappa

Featured Co-authors

Yee Whye Teh

Pushmeet Kohli

Nando de Freitas

Nicolas Heess

Razvan Pascanu

Tor Lattimore

Shane Legg

András György

Shakir Mohamed

Aldo Pacchiano

Hado van Hasselt

Fairness with Continuous Optimal Transport

Fairness in Machine Learning

Explicit-Duration Markov Switching Models

Wasserstein Fair Classification

Unsupervised Separation of Dynamics from Pixels

A Causal Bayesian Networks Viewpoint on Fairness

Meta-learning of Sequential Strategies

Degenerate Feedback Loops in Recommender Systems

Causal Reasoning from Meta-reinforcement Learning

Path-Specific Counterfactual Fairness

Recurrent Environment Simulators

Unified Treatment of Hidden Markov Switching Models