Demo Data from VLDB 2026 / reviewers in the wild / expert
Frédéric Cérou
dblp:48/4916
· DBLP profile ↗
3ranked-venue papers
1as first author
0since 2021 · last 2010
0000-0002-8752-0492ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Security and privacy · 1 · 1 first-authorTheory 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.
| Artificial intelligence
2 papers |
Learning theory · 64% Kernel, tree and ensemble methods · 36% |
Topics — the 7 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Kernel, tree and ensemble methods › ensemble learning
bagging |
0.1 | 1 | 2010 | On the Rate of Convergence of the Bagged Nearest Neighbor Estimate · J. Mach. Learn. Res. 2010 |
Machine learning › Learning theory › statistical learning theory › finite-sample analysis
finite-sample bounds |
0.1 | 1 | 2010 | Rates of convergence of the functional k-nearest neighbor estimate · IEEE Trans. Inf. Theory 2010 |
Machine learning › Kernel, tree and ensemble methods
nearest neighbor methods |
0.1 | 1 | 2010 | On the Rate of Convergence of the Bagged Nearest Neighbor Estimate · J. Mach. Learn. Res. 2010 |
Machine learning › Learning theory › nonparametric regression
nearest neighbor regression |
0.1 | 1 | 2010 | Rates of convergence of the functional k-nearest neighbor estimate · IEEE Trans. Inf. Theory 2010 |
Machine learning › Learning theory
nonparametric regression |
0.1 | 1 | 2010 | Rates of convergence of the functional k-nearest neighbor estimate · IEEE Trans. Inf. Theory 2010 |
Machine learning › Learning theory
function spaces |
0.0 | 1 | 2010 | Rates of convergence of the functional k-nearest neighbor estimate · IEEE Trans. Inf. Theory 2010 |
Machine learning › Learning theory › function spaces
sobolev spaces |
0.0 | 1 | 2010 | Rates of convergence of the functional k-nearest neighbor estimate · IEEE Trans. Inf. Theory 2010 |
Methods — techniques the papers use, named apart from their topics
nearest neighbor · 0.1convergence analysis · 0.1compact embedding theory · 0.1bagging · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | On the Rate of Convergence of the Bagged Nearest Neighbor Estimate
Gérard Biau, Frédéric Cérou, Arnaud Guyader |
J. Mach. Learn. Res. | 2 |
| 2010 | Rates of convergence of the functional k-nearest neighbor estimateabstractLet F be a separable Banach space, and let (X, Y) be a random pair taking values in F × R. Motivated by a broad range of potential applications, we investigate rates of convergence of the k-nearest neighbor estimate rn(x) of the regression function r(x) = E[Y|X = x], based on n independent copies of the pair (X, Y). Using compact embedding theory, we present explicit and general finite sample bounds on the expected squared difference E[rn(X) - r(X)]2, and particularize our results to classical function spaces such as Sobolev spaces, Besov spaces, and reproducing kernel Hilbert spaces. Gérard Biau, Frédéric Cérou, Arnaud Guyader |
IEEE Trans. Inf. Theory | 2 |
| 2008 | Experimental Assessment of the Reliability for Watermarking and Fingerprinting SchemesabstractInternational audience Frédéric Cérou, Teddy Furon, Arnaud Guyader |
EURASIP J. Inf. Secur. | 1 |