Minimax Compression and Large Alphabet Approximation Through Poissonization and Tilting
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Information Theory"
DOI: 10.1109/tit.2017.2661990
Abstract: This paper introduces a convenient strategy for coding and predicting sequences of independent, identically distributed random variables generated from a large alphabet of size $m$ . In particular, the size of the sample is allowed… read more here.
Keywords: large alphabet; alphabet approximation; alphabet; minimax compression ... See more keywords
Feedback Capacity of Ising Channels With Large Alphabet via Reinforcement Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Information Theory"
DOI: 10.1109/tit.2022.3168729
Abstract: We propose a new method to compute the feedback capacity of unifilar finite state channels (FSCs) with memory using reinforcement learning (RL). The feedback capacity was previously estimated using its formulation as a Markov decision… read more here.
Keywords: capacity; alphabet size; feedback capacity; large alphabet ... See more keywords