Publications
Entropy in Data Compression, Additive Combinatorics and Probability
(2022)
(doi: 10.17863/CAM.93608)
Information in probability: Another information-theoretic proof of a finite de Finetti theorem
(2022)
(doi: 10.48550/arxiv.2204.05033)
The Entropic Central Limit Theorem for Discrete Random Variables
– IEEE International Symposium on Information Theory - Proceedings
(2022)
00,
708
Information-theoretic de Finetti-style theorems
– 2022 IEEE INFORMATION THEORY WORKSHOP (ITW)
(2022)
00,
71
An information-theoretic proof of a finite de finetti theorem
– Electronic Communications in Probability
(2021)
26,
1
(doi: 10.1214/21-ECP428)
An Information-Theoretic Proof of a Finite de Finetti Theorem
(2021)
(doi: 10.48550/arxiv.2104.03882)
Fundamental Limits of Lossless Data Compression With Side Information
– IEEE Transactions on Information Theory
(2021)
67,
2680
(doi: 10.1109/TIT.2021.3062614)
Sharp second-order pointwise asymptotics for lossless compression with side information
– Entropy
(2020)
22,
705
(doi: 10.3390/e22060705)
Lossless Data Compression with Side Information: Nonasymptotics and Dispersion
– 2020 IEEE International Symposium on Information Theory (ISIT)
(2020)
2020-June,
2179
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