Olivier Bousquet
E367288
Olivier Bousquet is a French computer scientist and machine learning researcher known for his work on statistical learning theory and his leadership roles in industry AI research.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Olivier Bousquet canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3542930 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olivier Bousquet Context triple: [Léon Bottou, coauthorWith, Olivier Bousquet]
-
A.
Arnaud Vaillant
Arnaud Vaillant is a French fashion designer and co-founder of the innovative Paris-based label Coperni, known for its tech-inspired, sculptural womenswear.
-
B.
Fabien Roussel
Fabien Roussel is a French politician who has served as the national secretary and presidential candidate of the French Communist Party.
-
C.
Arnaud Péricard
Arnaud Péricard is a French politician and lawyer known for serving as the mayor of the affluent Parisian suburb of Saint-Germain-en-Laye.
-
D.
Laurent Lomet
Laurent Lomet was a mountaineer known for participating in the first recorded ascent of Monte Perdido in the Pyrenees.
-
E.
Olivier Faure
Olivier Faure is a French politician who has served as the First Secretary and leading figure of the Socialist Party in France.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Olivier Bousquet Target entity description: Olivier Bousquet is a French computer scientist and machine learning researcher known for his work on statistical learning theory and his leadership roles in industry AI research.
-
A.
Arnaud Vaillant
Arnaud Vaillant is a French fashion designer and co-founder of the innovative Paris-based label Coperni, known for its tech-inspired, sculptural womenswear.
-
B.
Fabien Roussel
Fabien Roussel is a French politician who has served as the national secretary and presidential candidate of the French Communist Party.
-
C.
Arnaud Péricard
Arnaud Péricard is a French politician and lawyer known for serving as the mayor of the affluent Parisian suburb of Saint-Germain-en-Laye.
-
D.
Laurent Lomet
Laurent Lomet was a mountaineer known for participating in the first recorded ascent of Monte Perdido in the Pyrenees.
-
E.
Olivier Faure
Olivier Faure is a French politician who has served as the First Secretary and leading figure of the Socialist Party in France.
- F. None of above. chosen
Statements (41)
| Predicate | Object |
|---|---|
| instanceOf |
French person
ⓘ
computer scientist ⓘ machine learning researcher ⓘ |
| affiliation |
Google Research
ⓘ
surface form:
Google AI
Google Research ⓘ
surface form:
Google Research Zurich
|
| countryOfCitizenship | France ⓘ |
| educatedAt |
ENS Paris-Saclay
ⓘ
Université Paris-Sud ⓘ École Polytechnique ⓘ |
| fieldOfWork |
artificial intelligence
ⓘ
machine learning ⓘ statistical learning theory ⓘ theoretical computer science ⓘ |
| hasAcademicAdvisor | Bernhard Schölkopf ⓘ |
| hasEmployer | Google ⓘ |
| hasOccupation |
computer science researcher
ⓘ
research executive ⓘ research scientist ⓘ |
| hasRole |
industry research leader
ⓘ
research manager ⓘ scientific advisor ⓘ |
| knownFor |
bridging theoretical and applied machine learning
ⓘ
contributions to statistical learning theory ⓘ leadership in industrial AI research ⓘ |
| languageSpoken |
English
ⓘ
French ⓘ |
| memberOf | Google Research ⓘ |
| notablePublication |
papers on kernel methods and support vector machines
ⓘ
papers on large-scale learning and optimization ⓘ papers on stability and generalization of learning algorithms ⓘ |
| notableWork |
contributions to kernel methods in machine learning
ⓘ
research on stability and generalization in learning algorithms ⓘ work on generalization bounds in statistical learning ⓘ |
| positionHeld |
Head of Google Research, Europe
ⓘ
Head of Machine Learning Research at Google Zurich ⓘ Vice President of Research at Google ⓘ |
| researchInterest |
large-scale machine learning
ⓘ
learning theory ⓘ optimization for machine learning ⓘ responsible AI ⓘ |
| workLocation | Zurich ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Olivier Bousquet Description of subject: Olivier Bousquet is a French computer scientist and machine learning researcher known for his work on statistical learning theory and his leadership roles in industry AI research.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.