Abstract Information-directed sampling (IDS) has revealed its potential as a data-efficient
algorithm for reinforcement learning (RL). However, theoretical understanding of IDS for …

Point-to-point permutation channels are useful models of communication networks and
biological storage mechanisms and have received theoretical attention in recent years …

Recent advancements in DNA-based storage prototypes focus on encoding information
across multiple DNA molecules. This approach utilizes high-throughput sequencing …

Encoding data as a set of unordered strings is receiving great attention as it captures one of
the basic features of DNA storage systems. However, the challenge of constructing optimal …

DNA-based storage is an emerging technology that provides high information density and
longevity. Noise and errors are present in almost every stage of the process: writing, storing …

Over the last 70 years, information theory and coding has enabled communication
technologies that have had an astounding impact on our lives. This is possible due to the …

Propelled by recent advances in the study of point-to-point permutation channels, which
stem from communication networks and biological communications applications, we analyze …

We consider a molecular channel, in which messages are encoded to the frequency of
objects (or concentration of molecules) in a pool, and whose output during reading time is a …

Wasserstein distortion is a one-parameter family of distortion measures that was recently
proposed to unify fidelity and realism constraints. After establishing continuity results for …

Permutation networks and multiple-access channels (MACs) are objects of interest in
modern information theory which find application in modeling biological storage …