.. blogpost:: :title: Quelques papiers que j'aimerais avoir le temps de lire :keywords: articles :date: 2017-09-13 :categories: biblio * `Two New Approaches to Compressed Sensing Exhibiting Both Robust Sparse Recovery and the Grouping Effect `_ * `On the Consistency of Ordinal Regression Methods `_ * `Lens Depth Function and k-Relative Neighborhood Graph: Versatile Tools for Ordinal Data Analysis `_ * `Joint Label Inference in Networks `_ * `Dense Distributions from Sparse Samples: Improved Gibbs Sampling Parameter Estimators for LDA `_ * `Fundamental Conditions for Low-CP-Rank Tensor Completion `_ * `Averaged Collapsed Variational Bayes Inference `_ * `Communication-efficient Sparse Regression `_ * `Distributed Sequence Memory of Multidimensional Inputs in Recurrent Networks `_ * `Automatic Differentiation Variational Inference `_ * `A Unified Formulation and Fast Accelerated Proximal Gradient Method for Classification `_ * `Breaking the Curse of Dimensionality with Convex Neural Networks `_ * `Preference-based Teaching `_ * `Online Bayesian Passive-Aggressive Learning∗ `_ * `Learning Local Dependence In Ordered Data `_ * `Explaining the Success of AdaBoost and Random Forests as Interpolating Classifiers `_ * `Clustering from General Pairwise Observations with Applications to Time-varying Graphs∗ `_