VLDB 2026 Research / reviewers in the wild / expert
Terrence M. Adams
dblp:65/6342
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2001
0000-0001-8493-7869ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 1
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 |
Information theory · 75% Mathematical optimization · 25% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information theory
ergodic theory |
0.0 | 1 | 2001 | Estimating a function from ergodic samples with additive noise · IEEE Trans. Inf. Theory 2001 |
Information theory
estimation theory |
0.0 | 1 | 2001 | Estimating a function from ergodic samples with additive noise · IEEE Trans. Inf. Theory 2001 |
Mathematical optimization › approximation theory
function approximation |
0.0 | 1 | 2001 | Estimating a function from ergodic samples with additive noise · IEEE Trans. Inf. Theory 2001 |
Information theory › estimation theory
nonparametric estimation |
0.0 | 1 | 2001 | Estimating a function from ergodic samples with additive noise · IEEE Trans. Inf. Theory 2001 |
Methods — techniques the papers use, named apart from their topics
mixing rates · 0.0additive noise model · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2001 | Estimating a function from ergodic samples with additive noiseabstractWe study the problem of estimating an unknown function from ergodic samples corrupted by additive noise. It is shown that one can consistently recover an unknown measurable function in this setting, if the one-dimensional (1-D) distribution of the samples is comparable to a known reference distribution, and the noise is independent of the samples and has known mixing rates. The estimates are applied to deterministic sampling schemes, in which successive samples are obtained by repeatedly applying a fixed map to a given initial vector, and it is then shown how the estimates can be used to reconstruct an ergodic transformation from one of its trajectories. Andrew B. Nobel, Terrence M. Adams |
IEEE Trans. Inf. Theory | 2 |