Demo Data from VLDB 2026 / reviewers in the wild / expert
Guy Weissenberg
dblp:289/6980
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0009-1213-8473ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 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 |
Computational complexity · 60% Coding theory · 40% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational complexity › probabilistically checkable proofs
decodable PCP |
1.0 | 1 | 2026 | 3-Query RLDCs Are Strictly Stronger Than 3-Query LDCs · STOC 2026 |
Coding theory › error-correcting codes
locally decodable codes |
1.0 | 1 | 2026 | 3-Query RLDCs Are Strictly Stronger Than 3-Query LDCs · STOC 2026 |
Computational complexity › probabilistically checkable proofs
PCPs of proximity |
1.0 | 1 | 2026 | 3-Query RLDCs Are Strictly Stronger Than 3-Query LDCs · STOC 2026 |
Computational complexity
probabilistically checkable proofs |
1.0 | 1 | 2026 | 3-Query RLDCs Are Strictly Stronger Than 3-Query LDCs · STOC 2026 |
Coding theory › error-correcting codes › locally decodable codes
relaxed locally decodable codes |
1.0 | 1 | 2026 | 3-Query RLDCs Are Strictly Stronger Than 3-Query LDCs · STOC 2026 |
Methods — techniques the papers use, named apart from their topics
composition theorem · 1.0HDX-based construction · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | 3-Query RLDCs Are Strictly Stronger Than 3-Query LDCsabstractWe construct $3$-query relaxed locally decodable codes (RLDCs) with constant alphabet size and length $\tilde{O}(k^2)$ for $k$-bit messages. Combined with the lower bound of $\tildeΩ(k^3)$ of [Alrabiah, Guruswami, Kothari, Manohar, STOC 2023] on the length of locally decodable codes (LDCs) with the same parameters, we obtain a separation between RLDCs and LDCs, resolving an open problem of [Ben-Sasson, Goldreich, Harsha, Sudan and Vadhan, SICOMP 2006]. Our RLDC construction relies on two components. First, we give a new construction of probabilistically checkable proofs of proximity (PCPPs) with $3$ queries, quasi-linear size, constant alphabet size, perfect completeness, and small soundness error. This improves upon all previous PCPP constructions, which either had a much higher query complexity or soundness close to $1$. Second, we give a query-preserving transformation from PCPPs to RLDCs. At the heart of our PCPP construction is a $2$-query decodable PCP (dPCP) with matching parameters, and our construction builds on the HDX-based PCP of [Bafna, Minzer, Vyas, Yun, STOC 2025] and on the efficient composition framework of [Moshkovitz, Raz, JACM 2010] and [Dinur, Harsha, SICOMP 2013]. More specifically, we first show how to use the HDX-based construction to get a dPCP with matching parameters but a large alphabet size, and then prove an appropriate composition theorem (and related transformations) to reduce the alphabet size in dPCPs. Tom Gur, Dor Minzer, Guy Weissenberg, Kai Zhe Zheng |
STOC | 3 |