In 2023, the conference was held in Montpellier (April, 6th & 7th), preceded by one day of tutorials (April, 5th).
This 12th edition welcomed 4 sessions, with 11 speakers in total over the two days. A poster session, with some local food, was held during the conference, where participants, mainly young researchers, were encouraged to present their own work.
Tutorials (April, 5th)
Location: Building 36, Room: SC36.05 Faculté des sciences
https://www.openstreetmap.org/way/764028569
9h00 - welcome with coffee
9:30 - 11:30: François Munoz, Univ. Grenoble (France) :
"Inférence de dynamique écologique multi-espèce par méthode ABC" (github )
11h30 - 13h30: - Lunch break (RA)
13h30 - 15h30: Stéphane Pateux Orange (France): "Few shot learning"
15h30 - 16h00: Coffee break
16h00 - 18h: Erwan Scornet, Ecole Polytechnique Paris (France) : "For a rigorous botanomancy: reading the importance in the leaves of (random) forests and extracting elementary precepts" (slides)
Conference (6-7 April):
April 6
SESSION 1 : STATISTICAL LEARNING FOR BIOMEDICAL DATA
Starting time 8:45 AM
"Adaptive Clinical Trials using sequential decision making" (slides)
- Antoine Chambaz, Univ. Paris Cité (France):
"Learning, evaluating and analyzing a recommendation rule for early blood transfer in the ICU" (slides)
- Imke Mayer, Charité Universitätsmedizin Berlin (Germany):
"Stepped Wedge Cluster Randomized Trials in Health Services Research – Practical and methodological challenges"
SESSION 2 : STATISTICAL LEARNING AND ENVIRONMENTAL SCIENCE
Starting time 2:15 PM
- Eleni Matechou University of Kent (UK) :
"eDNAPlus: A unifying modelling framework for DNA-based biodiversity monitoring" (slides)
- Alexis Joly, INRIA Montpellier (France) :
"
Cooperative learning for biodiversity monitoring: what's new and what's next in Pl@ntNet"
(slides)
"A mixture of Poisson log-normal PCA for count data clustering" (slides)
Poster session and cocktail (7 PM):
Location: la Panacée
https://www.openstreetmap.org/relation/1226946
April 7
- Nihar Shah Carnegie Mellon University (USA):
"Peer review, biases, and statistical learning" (slides)"
Secure statistics for collaborative algorithmic governance" (
slides)
SESSION 4 : RECENT ADVANCES IN STATISTICAL LEARNING
Location: Gaumont Comédie
https://www.openstreetmap.org/node/347532098
Starting time 2:15 PM
- Evgenii Chzhen, CNRS Orsay (France):
"Demographic parity constraint for algorithmic fairness : a statistical perspective" (slides)
- David Blei, Columbia University (USA):
"Scaling and Generalizing Approximate Bayesian Inference" (slides)
POSTER SESSION PROGRAM:
| Bonafos Guillem |
Institut de Mathématiques de Marseille (France) |
Detecting human and non-human vocal productions in large scale audio recordings |
| Boutin Rémi |
Mathématiques Appliquées Paris 5 (France) |
The Deep Latent Position Topic Model for Graph Clustering and Representation in Networks with Textual Edges |
| Carlier Clara |
Ecole Nationale de la Statistique et de l'Administration Economique (France) |
Calibration of AD/ADAS simulator: ABC method using a surrogate model |
| Colnet Bénédicte |
Inria-Saclay (France) |
Causal effect metrics are not equal when facing population's shifts |
| Dantas Cassio F. |
TETIS, Univ Montpellier, INRAE (France) |
Benchopt: reproducible, efficient and collaborative optimization benchmarks |
| Durif Ghislain |
IMAG Montpellier (France) |
Bayesian inference of parental allele inheritance in fetus for noninvasive prenatal diagnosis |
| Garcin Camille |
IMAG Montpellier (France) |
Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification |
| Gasparollo Lorenzo |
EPFL (Switzerland) |
Causal Inference for calendar-time parameters |
| Hacquard Olympio |
Laboratoire mathématique d'Orsay (France) |
Statistical learning on measures: an application to persistence diagrams |
| Hernandez Louis |
Craft AI (France) |
CausalStructCodec: Causally-aware observational and interventional data generator |
| Lefort Tanguy |
IMAG Montpellier (France) |
Identify ambiguous tasks combining crowdsourced labels by weighting Areas Under the Margin |
| Mangold Paul |
Machine Learning in Information Networks (France) |
Differential Privacy has Bounded Impact on Fairness in Classification |
| Marchello Giulia |
Université Côte d'Azur, Inria-Maasai, Nice (France) |
A Deep Dynamic Latent Block Model for Co-clustering of Zero-Inflated Data Matrices |
| Mignot Raphael |
Institut Elie Cartan de Lorraine (France) |
Averaging time series: a new approach using the iterated integrals signature method. |
| Ohl Louis |
Laboratoire d'Informatique Signaux et Systèmes de Sophia-Antpolis (France) |
Sparse GEMINI for Joint Discriminative Clustering and Feature Selection |
| Pilliat Emmanuel |
IMAG Montpellier (France) |
Optimal Ranking in Crowd-Sourcing Problems |
| Rabier Charles-Elie |
IMAG Montpellier (France) |
Prediction in high dimensional linear models and application to genomic prediction with a sparse genetic map |
| Rago Anouk |
Institut Elie Cartan de Lorraine (France) |
Gene network inference for the prediction of silencing experiment in cancer cells |
| Zaoui Ahmed |
Université Gustave Eiffel (France)
|
Regression with reject option and application to kNN |
| Zaffran Margaux |
EDF (France) |
Conformal Prediction with Missing Values |
