2 citations · 2 across the 6 of their papers we have counts for
3 papers · 1 filter
Kernel-Based Differentiable Learning of Non-Parametric Directed Acyclic Graphical Models
Yurou Liang, Oleksandr Zadorozhnyi, Mathias Drton
Causal discovery amounts to learning a directed acyclic graph (DAG) that encodes a causal model. This model selection problem can be challenging due to its large combinatorial sear…
Restless dependent bandits with fading memory
Oleksandr Zadorozhnyi, Gilles Blanchard, Alexandra Carpentier
We study the stochastic multi-armed bandit problem in the case when the arm samples are dependent over time and generated from so-called weak $\cC$-mixing processes. We establish a…
Concentration of weakly dependent Banach-valued sums and applications to statistical learning methods
Gilles Blanchard, Oleksandr Zadorozhnyi
We obtain a Bernstein-type inequality for sums of Banach-valued random variables satisfying a weak dependence assumption of general type and under certain smoothness assumptions of…