Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

Aurélien Bibaut

Aurélien F. Bibaut

> Home > Persons

Person information

affiliation: Netflix
affiliation: University of California, Berkeley, Division of Biostatistics, Ca, USA

Refine list

refinements active!

zoomed in on ?? of ?? records

view refined list in

export refined list as

showing all ?? records

2020 – today

see FAQ

What is the meaning of the colors in the publication lists?

2021
[b1]
- view
  - electronic edition @ escholarship.org
  - no references & citations available
- export record
  dblp key:
  - phd/us/Bibaut21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/phd/us/Bibaut21
Aurélien F. Bibaut:
Statistical methods for causal inference fromsequentially collected data and sequential decisionmaking. University of California, Berkeley, USA, 2021
[c5]
- view
  - electronic edition @ neurips.cc (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/nips/BibautKDCL21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/BibautKDCL21
Aurélien Bibaut, Nathan Kallus, Maria Dimakopoulou, Antoine Chambaz, Mark J. van der Laan:
Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning. NeurIPS 2021: 19261-19273
[c4]
- view
  - electronic edition @ neurips.cc (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/nips/BibautDKCL21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/BibautDKCL21
Aurélien Bibaut, Maria Dimakopoulou, Nathan Kallus, Antoine Chambaz, Mark J. van der Laan:
Post-Contextual-Bandit Inference. NeurIPS 2021: 28548-28559
[i7]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2102-00102
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2102-00102
Ivana Malenica, Aurélien Bibaut, Mark J. van der Laan:
Adaptive Sequential Design for a Single Time-Series. CoRR abs/2102.00102 (2021)
[i6]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2106-00418
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2106-00418
Aurélien Bibaut, Antoine Chambaz, Maria Dimakopoulou, Nathan Kallus, Mark J. van der Laan:
Post-Contextual-Bandit Inference. CoRR abs/2106.00418 (2021)
[i5]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2106-01723
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2106-01723
Aurélien Bibaut, Antoine Chambaz, Maria Dimakopoulou, Nathan Kallus, Mark J. van der Laan:
Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning. CoRR abs/2106.01723 (2021)
2020
[c3]
- view
- export record
  dblp key:
  - conf/uai/BibautCL20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/uai/BibautCL20
Aurélien Bibaut, Antoine Chambaz, Mark J. van der Laan:
Generalized Policy Elimination: an efficient algorithm for Nonparametric Contextual Bandits. UAI 2020: 1099-1108
[i4]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2003-02873
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2003-02873
Aurélien F. Bibaut, Antoine Chambaz, Mark J. van der Laan:
Generalized Policy Elimination: an efficient algorithm for Nonparametric Contextual Bandits. CoRR abs/2003.02873 (2020)
[i3]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2006-03632
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2006-03632
Aurélien F. Bibaut, Antoine Chambaz, Mark J. van der Laan:
Rate-adaptive model selection over a collection of black-box contextual bandit algorithms. CoRR abs/2006.03632 (2020)

2010 – 2019

see FAQ

What is the meaning of the colors in the publication lists?

2019
[c2]
- view
  - electronic edition @ mlr.press (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/icml/BibautMVL19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icml/BibautMVL19
Aurélien Bibaut, Ivana Malenica, Nikos Vlassis, Mark J. van der Laan:
More Efficient Off-Policy Evaluation through Regularized Targeted Learning. ICML 2019: 654-663
[c1]
- view
  - electronic edition @ mlr.press (open access)
  - no references & citations available
- export record
  dblp key:
  - conf/icml/VlassisBDJ19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icml/VlassisBDJ19
Nikos Vlassis, Aurélien Bibaut, Maria Dimakopoulou, Tony Jebara:
On the Design of Estimators for Bandit Off-Policy Evaluation. ICML 2019: 6468-6476
[i2]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1912-06292
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1912-06292
Aurélien F. Bibaut, Ivana Malenica, Nikos Vlassis, Mark J. van der Laan:
More Efficient Off-Policy Evaluation through Regularized Targeted Learning. CoRR abs/1912.06292 (2019)
2017
[i1]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/JuBL17
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/JuBL17
Cheng Ju, Aurélien Bibaut, Mark J. van der Laan:
The Relative Performance of Ensemble Methods with Deep Convolutional Neural Networks for Image Classification. CoRR abs/1704.01664 (2017)

a service of

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.