robin in <website>~/research T 00:00:00 ❯ cat thesis.txt(base)
Thesis: Similarity Ranking for Biometrics: Theory and Practice. Robin Vogel. [Manuscript] [Slides] (2020)
robin in <website>~/research T 00:00:00 ❯ ls ~/publications(base)
-
Visual Recognition with Deep Learning from Biased Image Datasets.
Robin Vogel, Stephan Clémençon, Pierre Laforgue.
[Article] [Code] -
Learning Fair Scoring Functions: Fairness Definitions, Algorithms and Generalization Bounds for Bipartite Ranking.
R. Vogel, A. Bellet and S. Clémençon.
[Article] [Code] [Slides] [Poster] [Video] -
A Multiclass Classification Approach to Label Ranking.
S. Clémençon and R. Vogel.
[Article] [Code] [Slides] [Video] -
Weighted Empirical Risk Minimization: Transfer Learning based on Importance Sampling.
R. Vogel, M. Achab, S. Clémençon and C. Tillier.
[Article] [Code] [Slides] [Video] -
Weighted Empirical Risk Minimization: Sample Selection Bias Correction based on Importance Sampling.
R. Vogel, M. Achab, S. Clémençon and C. Tillier.
[Article] [Code] [Slides] [Video] -
Trade-offs in Large-Scale Distributed Tuplewise Estimation and Learning.
R. Vogel, A. Bellet, S. Clémençon, O. Jelassi and G. Papa.
[Article] [Code] [Slides] [Poster] -
On Tree-based Methods for Similarity Learning.
S. Clémençon and R. Vogel.
[Article] [Code] [Slides] [Poster] -
A Probabilistic Theory of Supervised Similarity Learning for Pointwise ROC Curve Optimization.
R. Vogel, A. Bellet and S. Clémençon.
[Article] [Code] [Slides] [Poster] [Video]
robin in <website>~/research T 00:00:00 ❯ tail talks.log(base)
11/21
Atelier pluridisciplinaire sur la justice sociale, l’équité et les discriminations dans les systèmes algorithmiques
[Slides]
04/21 Working group on algorithmic fairness [Slides]
04/21 AISTATS 2021 [Slides] [Poster]
06/20 Workshop by Datacraft - Fiabilité et biais des algorithmes [Slides]
10/19 Magnet seminar [Slides]
10/19 MLiTRW @ Criteo [Poster]
10/19 Workshop MLAI [Poster]
09/19 JDSE 2019 [Poster]
09/19 LOD 2019 [Slides] [Poster]
09/19 ECML PKDD 2019 [Slides] [Poster]
07/19 IDS research group day 2019 [Poster]
10/18 SMILE in Paris (ICML 2018 debriefing) [Slides]
09/18 JDSE 2018 [Poster]
09/18 Workshop Machine Learning & AI [Poster]
07/18 Image, Données et Signal (IDS) research group day 2018 [Poster]
07/18 ICML 2018 [Slides] [Poster]
06/18 Machine Learning Summer Schools 2018 [Poster]
06/18 50ème Journées De Statistique [Slides]
04/18 Machine Learning for Big Data research chair day [Slides]
04/21 Working group on algorithmic fairness [Slides]
04/21 AISTATS 2021 [Slides] [Poster]
06/20 Workshop by Datacraft - Fiabilité et biais des algorithmes [Slides]
10/19 Magnet seminar [Slides]
10/19 MLiTRW @ Criteo [Poster]
10/19 Workshop MLAI [Poster]
09/19 JDSE 2019 [Poster]
09/19 LOD 2019 [Slides] [Poster]
09/19 ECML PKDD 2019 [Slides] [Poster]
07/19 IDS research group day 2019 [Poster]
10/18 SMILE in Paris (ICML 2018 debriefing) [Slides]
09/18 JDSE 2018 [Poster]
09/18 Workshop Machine Learning & AI [Poster]
07/18 Image, Données et Signal (IDS) research group day 2018 [Poster]
07/18 ICML 2018 [Slides] [Poster]
06/18 Machine Learning Summer Schools 2018 [Poster]
06/18 50ème Journées De Statistique [Slides]
04/18 Machine Learning for Big Data research chair day [Slides]
robin in <website>~/research T 00:00:00 ❯ mpv --loop-playlist ~/music/*.mp3(base)
- They Call It Nature
- Raise Your Hand If You Think Evil Is Increasing in This World
- I Used to Need the Violence
- Last Night I Dreamt I Saw True Love In Your Eyes
- Let the Pain Speak to Me
⏸ [1/5] They Call It Nature
vol [#----] 1/5
"They Call It Nature" by Chris Zabriskie
From the album "It's a Wonderful Jaws"
Licensed under Creative Commons Attribution 4.0
creativecommons.org/licenses/by/4.0/
chriszabriskie.com
From the album "It's a Wonderful Jaws"
Licensed under Creative Commons Attribution 4.0
creativecommons.org/licenses/by/4.0/
chriszabriskie.com
robin in <website>~/research T 00:00:00 ❯ cat reviewing.txt(base)
Reviewing: NeurIPS 2019, ICML 2020, LOD 2020, NeurIPS 2020, ICML 2021, EJS (2021), JMLR (2021), NeurIPS 2021, ICLR 2021.
robin in <website>~/research T 00:00:00 ❯ (base)