Reading group 2018-2019

[25/07/2019] Maurizio Filippone led the discussion on the paper “A Bayesian Conjugate Gradient Method”. [PDF]
[11/07/2019] Sébastien Marmin led the discussion on the paper “Rates of Convergence for Sparse Variational Gaussian Process Regression”. [PDF]
[04/07/2019] Yufei Han led the discussion on the paper “Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation”. [PDF]
[27/06/2019] Simone Rossi led the discussion on the paper “A Contrastive Divergence for Combining Variational Inference and MCMC”. [PDF]
[02/05/2019] Jonas Wacker led the discussion on the paper “Direct Feedback Alignment Provides Learning in Deep Neural Networks”. [PDF]
[11/04/2019] Remi Domingues led the discussion on the paper “Attention is All You Need”. [PDF]
[28/03/2019] Pietro Michiardi led the discussion on the paper “Sparsified SGD with Memory”. [PDF]
[21/03/2019] Dimitrios Milios led the discussion on the paper “Bayesian Structured Prediction Using Gaussian Processes”. [PDF]
[14/03/2019] Alix Lhéritier led the discussion on the paper “Worst-Case Bounds for Gaussian Process Models”. [PDF]
[21/02/2019] Maurizio Filippone led the discussion on the paper “Neural Ordinary Differential Equations”. [PDF]
[07/02/2019] Graziano Mita led the discussion on the paper “A Bayesian Framework for Learning Rule Sets for Interpretable Classification”. [PDF]
[29/11/2018] Yufei Han led the discussion on the paper “CoCoA: A General Framework for Communication-Efficient Distributed Optimization”. [PDF]
[29/11/2018] Sébastien Marmin led the discussion on the paper “Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks”. [PDF]
[22/11/2018] Dimitrios Milios led the discussion on the paper “Mastering the game of Go with Deep Neural Networks & Tree Search”. [PDFBlog]
[15/11/2018] Rosa Candela led the discussion on the paper “Learning Scalable Deep Kernels with Recurrent Structure”. [PDF]
[08/11/2018] Gia-Lac Tran led the discussion on the paper “Fully Scalable Gaussian Processes using Subspace Inducing Inputs”. [PDF]
[25/10/2018] Simone Rossi led the discussion on the paper “Deterministic Variational Inference for Bayesian Neural Networks”. [PDF]
[18/10/2018] Kurt Cutajar led the discussion on the paper “Neural Processes”. [PDF]
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