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Michèle Sebag

LRI

DCDILP: a distributed learning method for large-scale causal structure learning

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Jun 15, 2024
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High-Dimensional Causal Discovery: Learning from Inverse Covariance via Independence-based Decomposition

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Nov 25, 2022
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From graphs to DAGs: a low-complexity model and a scalable algorithm

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Apr 10, 2022
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Frugal Machine Learning

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Nov 05, 2021
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Distribution-Based Invariant Deep Networks for Learning Meta-Features

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Jun 24, 2020
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Variational Auto-Encoder: not all failures are equal

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Mar 04, 2020
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From abstract items to latent spaces to observed data and back: Compositional Variational Auto-Encoder

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Jan 22, 2020
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Automated Machine Learning with Monte-Carlo Tree Search (Extended Version)

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Jun 01, 2019
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New Losses for Generative Adversarial Learning

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Jul 26, 2018
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SAM: Structural Agnostic Model, Causal Discovery and Penalized Adversarial Learning

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Mar 13, 2018
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