Statistics
Parametric families on large binary spaces
Strong confidence intervals for autoregression
Bayesian changepoint analysis for atomic force microscopy and soft material indentation
Tree Exploration for Bayesian RL Exploration
On the minimal penalty for Markov order estimation
Optimal designs for rational function regression
Time-Varying Autoregressions in Speech: Detection Theory and Applications
Some properties of the moment estimator of shape parameter for the gamma distribution
Proximal Methods for Hierarchical Sparse Coding
New Methods of Analysis of Narrative and Semantics in Support of Interactivity
Reconstruction of Epsilon-Machines in Predictive Frameworks and Decisional States
Bayesian methods to overcome the winners curse in genetic studies
Pac-bayesian bounds for sparse regression estimation with exponential weights
Graphical Models as Block-Tree Graphs
Learning Planar Ising Models
Elicitation of Weibull priors
Making Tensor Factorizations Robust to Non-Gaussian Noise
On resolving the Savage-Dickey paradox
Probabilistic Models over Ordered Partitions with Application in Learning to Rank
Efficient Bayesian Community Detection using Non-negative Matrix Factorisation
Fast Sparse Decomposition by Iterative Detection-Estimation
Pair-Wise Cluster Analysis
