# Reading group 2019-2020

[25/06/2020] | Bogdan Kozyrskiy led the discussion on the paper “Proximal Backpropagation” (ICLR 2018) by T. Frerix, T. Mollenhoff, M. Moeller and D. Cremers. |
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[18/06/2020] | Lucas Pascal led the discussion on the paper “Robust Learning Through Cross-Task Consistency” (CVPR 2020) by A. Zamir et al. |
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[08/06/2020] | Julien Audibert led the discussion on the paper “An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling” (preprint arXiv) by S. Bai, J. Z. Kolter and V. Koltun. |
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[02/06/2020] | Jonas Wacker led the discussion on the paper “Inter-domain Gaussian Processes for Sparse Inference using Inducing Features” (NeurIPS 2009) by M. Lázaro-Gredilla and A. Figueiras-Vidal. |
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[11/05/2020] | Rosa Candela led the discussion on the paper “Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-sensitive Learning” (ICML 2018) by S. Depeweg, J. Hernandez-Lobato, F. Doshi-Velez and S. Udluft. |
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[05/05/2020] | Matthieu Da Silva–Filarder led the discussion on the paper “Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models” (NeurIPS 2019) by Y. Shi, N. Siddharth, B. Paige and P. H.S. Torr. |
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[29/04/2020] | Ugo Lecerf led the discussion on the paper “Distributional Reinforcement Learning for Efficient Exploration” (ICML 2019) by B. Mavrin et al. |
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[15/04/2020] | Maurizio Filippone led the discussion on the paper “Learning under Model Misspecification: Applications to Variational and Ensemble methods”. | [PDF] |

[08/04/2020] | Pietro Michiardi led the discussion on the paper “The Loss Surfaces of Multilayer Networks”. | [PDF] |

[31/03/2020] | Motonobu Kanagawa led the discussion on the paper “Prediction of the Epidemic Peak of Coronavirus Disease in Japan, 2020.”. | [PDF] |

[26/03/2020] | Simone Rossi led the discussion on the paper “Implicit Posterior Variational Inference for Deep Gaussian Processes”. | [PDF] |

[09/03/2020] | Dimitrios Milios led the discussion on the paper “How Good is the Bayes Posterior in Deep Neural Networks Really?”. | [PDF] |

[13/02/2020] | Dimitrios Milios led the discussion on the paper “Neural Tangent Kernel: Convergence and Generalization in Neural Networks”. | [PDF] |

[23/01/2020] | Sébastien Marmin led the discussion on the paper “Stein Variational Gradient Descent With Matrix-Valued Kernels”. | [PDF] |

[16/01/2020] | Jonas Wacker led the discussion on the paper “Data-dependent compression of random features for large-scale kernel approximation”. | [PDF] |

[12/12/2019] | Gia-Lac Tran led the discussion on the paper “Semi-Implicit Variational Inference”. | [PDF] |

[05/12/2019] | Graziano Mita led the discussion on the paper “Unsupervised Learning of Disentangled Representations”. | |

[28/11/2019] | Dimitrios Milios led the discussion on the paper “Sparse Orthogonal Variational Inference for Gaussian Processes”. | [PDF] |

[14/11/2019] | Ugo Lecerf led the discussion on the paper “Statistics and Samples in Distributional Reinforcement Learning”. | [PDF] |

[07/11/2019] | Rosa Candela led the discussion on the paper “Distribution Calibration for Regression”. | [PDF] |

[24/10/2019] | Maurizio Filippone led the discussion on the paper “Towards a Unified Analysis of Random Fourier Features”. | [PDF] |

[10/10/2019] | Matthieu Da Silva–Filarder led the discussion on the paper “PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation”. | [PDF] |

[03/10/2019] | Motonobu Kanagawa led the discussion on the paper “Kernel Recursive ABC: Point Estimation with Intractable Likelihood”. | [PDF] |

[26/09/2019] | Maria A. Zuluaga led the discussion on the paper “Online Meta Learning”. | [PDF] |

[19/09/2019] | Simone Rossi led the discussion on the paper “Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm”. | [PDF] |

[11/09/2019] | Pietro Michiardi led the discussion on the paper “A Variational Analysis of Stochastic Gradient Algorithms” (ICML 2016) by S. Mandt, M. Hoffman and D. Blei. |
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