Sepehr Heidari Advary

dblp:397/9965 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2026
0009-0009-4898-8541ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Coding theory · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Coding theory
channel coding
1.012026
Nonasymptotic Oblivious Relaying and Variable-Length Noisy Lossy Source Coding · IEEE Trans. Inf. Theory 2026
Coding theory
source coding
1.012026
Nonasymptotic Oblivious Relaying and Variable-Length Noisy Lossy Source Coding · IEEE Trans. Inf. Theory 2026
Coding theory › source coding
variable-length codes
1.012026
Nonasymptotic Oblivious Relaying and Variable-Length Noisy Lossy Source Coding · IEEE Trans. Inf. Theory 2026
Coding theory › source coding › rate-distortion theory
information bottleneck
0.312026
Nonasymptotic Oblivious Relaying and Variable-Length Noisy Lossy Source Coding · IEEE Trans. Inf. Theory 2026

Methods — techniques the papers use, named apart from their topics

strong functional representation lemma · 1.0poisson matching lemma · 1.0
YearPublicationVenuePosition
2026 Nonasymptotic Oblivious Relaying and Variable-Length Noisy Lossy Source Coding
abstract
The information bottleneck channel (or the oblivious relay channel) concerns a channel coding setting where the decoder does not directly observe the channel output. Rather, the channel output is relayed to the decoder by an oblivious relay (which does not know the codebook) via a rate-limited link. The capacity is known to be given by the information bottleneck. We study finite-blocklength achievability results of the channel, where the relay communicates to the decoder via fixed-length or variable-length codes. These two cases give rise to two different second-order versions of the information bottleneck. Our proofs utilize the nonasymptotic noisy lossy source coding results by Kostina and Verdú, the strong functional representation lemma, and the Poisson matching lemma. Moreover, we also give a novel nonasymptotic variable-length noisy lossy source coding result.
Yanxiao Liu 0003, Sepehr Heidari Advary, Cheuk Ting Li
IEEE Trans. Inf. Theory2
2025 Nonasymptotic Oblivious Relaying and Variable-Length Noisy Lossy Source Coding
abstract
The information bottleneck channel (or the oblivious relay channel) concerns a channel coding setting where the decoder does not directly observe the channel output. Rather, the channel output is relayed to the decoder by an oblivious relay (which does not know the codebook) via a rate-limited link. The capacity is known to be given by the information bottleneck. We study finite-blocklength achievability results of the channel, where the relay communicates to the decoder via fixed-length or variable-length codes. These two cases give rise to two different second-order versions of the information bottleneck. Our proofs utilize the nonasymptotic noisy lossy source coding results by Kostina and Verdú, the strong functional representation lemma, and the Poisson matching lemma. Moreover, we also give a novel nonasymptotic variable-length noisy lossy source coding result. A full version of this paper is accessible at [1].
Yanxiao Liu 0003, Sepehr Heidari Advary, Cheuk Ting Li
ISIT2