Clustering risk in Non-parametric Hidden Markov and I.I.D. Models
Published in To appear in Annals of Statistics, 2023
In this paper, we perform a thorough analysis of the Bayes risk of clustering when observations come from a nonparametric HMM.
Posts by Collection
publications
On the impossibility of detecting a late change-point in the preferential attachment random graph model
Published in Bernoulli 32 (1) 96-126, 2026, 2024
This paper studies the fundamental limits for change-point detection under the linear preferential attachment random graph model
Sharp and Adaptive Cluster Recovery in Slowly Mixing Gaussian Hidden Markov Models
Published in arXiv, 2026
This paper studies the problem of clustering HMM observations in the regime where the hidden Markov chain mixes slowly
talks
Clustering of parametric Hidden Markov Models
Published:
Poster at the Junior Conference on DataScience and Engineering. I presented results regarding the clustering of observations of a parametric HMM. [poster]
Talk at ASCAI 2nd Workshop
Published:
I presented theoretical guarantees on the clustering when observations come from a general nonparametric HMM and a clustering procedure that is guaranteed to mimic the Bayes clusterer asymptotically. More information here. [slides]
Talk at the conference: Markovian & Semi-Markovian processes and their applications
Published:
I presented general results regarding estimation and clustering under the HMM framework. More information here. [slides]
Clustering of nonparametric Hidden Markov Models
Published:
Poster at the StatMathAppli conference. I presented results regarding the clustering of observations of a nonparametric HMM. [poster]
Talk at SuPerGRandMa seminar
Published:
I presented recent results on change-point detection in the preferential attachment random graph model. More information here.
Talk at 55èmes Journées de Statistique
Published:
I presented the results of our paper on clustering/classification. More information here.
Talk at AHIDI2024 Workshop: Advances in High/Infinite-dimensional Inference
Published:
I presented the results of our paper on clustering/classification. More information here.
Talk at the 2024 IMS International Conference on Statistics and Data Science (ICSDS)
Published:
I presented the results of our paper on change-point detection in random graphs. More information here.
teaching
Teaching Assistant
Teaching, Polytech Paris-Saclay, 2023
Exercise sessions in linear algebra and analysis for PEIP1 and in probability and statistics for PEIP2 students at Polytech Paris-Saclay.
Organizer of the master students’ seminar
Seminar, Laboratoire de Mathématiques d'Orsay, 2023
I am in charge of co-organizing the master students’ seminar at the Laboratoire de Mathématiques d’Orsay for the 2023 and 2024 academic years. More information here.
Teaching Assistant
Teaching, Polytech Paris-Saclay, 2024
Exercise sessions in probability and statistics for PEIP2 students at Polytech Paris-Saclay.