output
20132021
most citedUser-friendly introduction to PAC-Bayes bounds

60 citations

12 papers

stat.ML2021★ 60 cited

User-friendly introduction to PAC-Bayes bounds

Pierre Alquier

Aggregated predictors are obtained by making a set of basic predictors vote according to some weights, that is, to some probability distribution. Randomized predictors are obtained…

stat.ME2021★ 3 cited

On Unbiased Score Estimation for Partially Observed Diffusions

Jeremy Heng, Jeremie Houssineau, Ajay Jasra

We consider the problem of statistical inference for a class of partially-observed diffusion processes, with discretely-observed data and finite-dimensional parameters. We construc…

math.ST2020

Near-Optimal Procedures for Model Discrimination with Non-Disclosure Properties

Dmitrii M. Ostrovskii, Mohamed Ndaoud, Adel Javanmard +1

Let be the population risk minimizers associated to some loss and two distributions $\mathbb{P}_0,\mat…

stat.ML2019

Outliers Detection in Networks with Missing Links

Solenne Gaucher, Olga Klopp, Geneviève Robin

Outliers arise in networks due to different reasons such as fraudulent behavior of malicious users or default in measurement instruments and can significantly impair network analys…

math.OC2019★ 5 cited

A Multilevel Approach for Stochastic Nonlinear Optimal Control

Ajay Jasra, Jeremy Heng, Yaxian Xu +1

We consider a class of finite time horizon nonlinear stochastic optimal control problem, where the control acts additively on the dynamics and the control cost is quadratic. This f…

stat.ML2018★ 3 cited

Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach

Alexander Lin, Yingzhuo Zhang, Jeremy Heng +4

We propose a general statistical framework for clustering multiple time series that exhibit nonlinear dynamics into an a-priori-unknown number of sub-groups. Our motivation comes f…

stat.ML2018★ 8 cited

Collective Matrix Completion

Mokhtar Z. Alaya, Olga Klopp

Matrix completion aims to reconstruct a data matrix based on observations of a small number of its entries. Usually in matrix completion a single matrix is considered, which can be…

stat.ME2018

Main effects and interactions in mixed and incomplete data frames

Geneviève Robin, Olga Klopp, Julie Josse +2

A mixed data frame (MDF) is a table collecting categorical, numerical and count observations. The use of MDF is widespread in statistics and the applications are numerous from abun…

math.ST2017

Optimal graphon estimation in cut distance

Olga Klopp, Nicolas Verzelen

Consider the twin problems of estimating the connection probability matrix of an inhomogeneous random graph and the graphon of a W-random graph. We establish the minimax estimation…

stat.CO2015★ 32 cited

Gibbs flow for approximate transport with applications to Bayesian computation

Jeremy Heng, Arnaud Doucet, Yvo Pokern

Let and be two distributions on the Borel space . Any measurable function …

math.CO2014★ 1 cited

G-graphs Characterisation and Incidence Graphs

David Ellison, Ruxandra Marinescu-Ghemeci, Cerasela Tanasescu

Graphs derived from groups are a widely studied class of graphs, motivated by their highly symmetric structure. In particular, G-graphs offer an easy and interesting alternative co…

cs.CC2013★ 2 cited

Playing with parameters: structural parameterization in graphs

Nicolas Bourgeois, Konrad K. Dabrowski, Marc Demange +1

When considering a graph problem from a parameterized point of view, the parameter chosen is often the size of an optimal solution of this problem (the "standard" parameter). A nat…