Feige, Ilya

7 publications

ICML 2023 Task-Specific Experimental Design for Treatment Effect Estimation Bethany Connolly, Kim Moore, Tobias Schwedes, Alexander Adam, Gary Willis, Ilya Feige, Christopher Frye

ACML 2021 Improving Gaussian Mixture Latent Variable Model Convergence with Optimal Transport Benoit Gaujac, Ilya Feige, David Barber

ECML-PKDD 2021 Learning Disentangled Representations with the Wasserstein Autoencoder Benoit Gaujac, Ilya Feige, David Barber

ICLR 2021 Shapley Explainability on the Data Manifold Christopher Frye, Damien de Mijolla, Tom Begley, Laurence Cowton, Megan Stanley, Ilya Feige

NeurIPS 2020 Asymmetric Shapley Values: Incorporating Causal Knowledge into Model-Agnostic Explainability Christopher Frye, Colin Rowat, Ilya Feige

MLJ 2019 Improving Latent Variable Descriptiveness by Modelling Rather than Ad-Hoc Factors Alex Mansbridge, Roberto Fierimonte, Ilya Feige, David Barber

ICML 2019 Invariant-Equivariant Representation Learning for Multi-Class Data Ilya Feige