Search Results for author:
Found 5 papers, 2 papers with code
Compression-based inference of network motif sets
The statistical inference of network motifs is however fraught with difficulties, from defining and sampling the right null model to accounting for the large number of possible motifs and their potential correlations in statistical testing.
Approximate information maximization for bandit games
Built on this principle, we propose a new class of bandit algorithms that maximize an approximation to the information of a key variable within the system.
Approximate information for efficient exploration-exploitation strategies
This paper addresses the exploration-exploitation dilemma inherent in decision-making, focusing on multi-armed bandit problems.
Statistical Tests for Force Inference in Heterogeneous Environments
We devise a method to detect and estimate forces in a heterogeneous environment based on experimentally recorded stochastic trajectories.
Biological Physics Chemical Physics Biomolecules Quantitative Methods
Temporal Gillespie algorithm: Fast simulation of contagion processes on time-varying networks
The Gillespie algorithm can be used for fast simulation of stochastic processes, and variants of it have been applied to simulate dynamical processes on static networks.
