3 papers
cs.LG2026
Detection and Evaluation of Clusters within Sequential Data
Alexander Van Werde, Albert Senen-Cerda, Gianluca Kosmella +1
Sequential data is ubiquitous -- it is routinely gathered to gain insights into complex processes such as behavioral, biological, or physical processes. Challengingly, such data no…
math.PR2026
Sharp concentration for sums of matrices with Markovian dependence through universality
Alexander Van Werde, Jaron Sanders
We prove that a sum of random matrices generated by a -mixing Markov chain has similar spectral properties to a Gaussian matrix with the same mean and covariance structure. Thi…
cs.LG2025
Score-Aware Policy-Gradient and Performance Guarantees using Local Lyapunov Stability
Céline Comte, Matthieu Jonckheere, Jaron Sanders +1
In this paper, we introduce a policy-gradient method for model-based reinforcement learning (RL) that exploits a type of stationary distributions commonly obtained from Markov deci…