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Home/Authors/Olivier Jeunen

Olivier Jeunen

2 indexed papers

Recent (6 mo)
2
With code
0
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Publications per year

2
26

Top categories

ML×2Info Retrieval×2Stats Method.×1Stats ML×1

Research Timeline

2026
Distributional Approximate Nearest Neighbour Search for Uncertainty-Aware Retrieval

The paper proposes DINOSAUR, a framework that incorporates embedding uncertainty into Approximate Nearest Neighbour search to improve retrieval for niche, long-tail content.

Accelerating A/B-Tests with Counterfactual Estimation: Reducing Variance through Policy Overlap

Proposed a novel experimental protocol for online controlled experiments to reduce variance and improve statistical power by exploiting policy overlap and using $Δ$-Off-Policy Estimation methods.

Highlighted terms show continued research focus across papers

Papers

cs.LGcs.IRstat.METheoreticalRecentJul 16, 2026

Accelerating A/B-Tests with Counterfactual Estimation: Reducing Variance through Policy Overlap

Olivier Jeunen

Proposed a novel experimental protocol for online controlled experiments to reduce variance and improve statistical power by exploiting policy overlap and using $Δ$-Off-Policy Estimation methods.

View →
cs.IRcs.LGstat.MLRecent
Jun 3, 2026

Distributional Approximate Nearest Neighbour Search for Uncertainty-Aware Retrieval

Olivier Jeunen

The paper proposes DINOSAUR, a framework that incorporates embedding uncertainty into Approximate Nearest Neighbour search to improve retrieval for niche, long-tail content.

View →