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Improving Fair Predictions Using Variational Inference In Causal Models

Aug 25, 2020
Rik Helwegen, Christos Louizos, Patrick Forré


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Federated Learning of User Authentication Models

Jul 09, 2020
Hossein Hosseini, Sungrack Yun, Hyunsin Park, Christos Louizos, Joseph Soriaga, Max Welling


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Bayesian Bits: Unifying Quantization and Pruning

May 15, 2020
Mart van Baalen, Christos Louizos, Markus Nagel, Rana Ali Amjad, Ying Wang, Tijmen Blankevoort, Max Welling


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Up or Down? Adaptive Rounding for Post-Training Quantization

Apr 22, 2020
Markus Nagel, Rana Ali Amjad, Mart van Baalen, Christos Louizos, Tijmen Blankevoort


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Gradient $\ell_1$ Regularization for Quantization Robustness

Feb 18, 2020
Milad Alizadeh, Arash Behboodi, Mart van Baalen, Christos Louizos, Tijmen Blankevoort, Max Welling

* ICLR 2020 

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The Functional Neural Process

Jun 19, 2019
Christos Louizos, Xiahan Shi, Klamer Schutte, Max Welling


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DIVA: Domain Invariant Variational Autoencoders

May 24, 2019
Maximilian Ilse, Jakub M. Tomczak, Christos Louizos, Max Welling


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Relaxed Quantization for Discretized Neural Networks

Oct 03, 2018
Christos Louizos, Matthias Reisser, Tijmen Blankevoort, Efstratios Gavves, Max Welling


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Learning Sparse Neural Networks through $L_0$ Regularization

Jun 22, 2018
Christos Louizos, Max Welling, Diederik P. Kingma

* Published as a conference paper at the International Conference on Learning Representations (ICLR) 2018 

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Causal Effect Inference with Deep Latent-Variable Models

Nov 06, 2017
Christos Louizos, Uri Shalit, Joris Mooij, David Sontag, Richard Zemel, Max Welling

* Published as a conference paper at NIPS 2017 

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Bayesian Compression for Deep Learning

Nov 06, 2017
Christos Louizos, Karen Ullrich, Max Welling

* Published as a conference paper at NIPS 2017 

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The Variational Fair Autoencoder

Aug 10, 2017
Christos Louizos, Kevin Swersky, Yujia Li, Max Welling, Richard Zemel

* Fixed typo in eq. 3 and 4 

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Multiplicative Normalizing Flows for Variational Bayesian Neural Networks

Jun 12, 2017
Christos Louizos, Max Welling

* Appearing at the International Conference on Machine Learning (ICML) 2017 

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Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors

Jun 23, 2016
Christos Louizos, Max Welling

* Updated results with the original folds in the regression experiments. Appearing in the International Conference on Machine Learning (ICML) 2016 

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