Yves F. Atchadé

According to our database, Yves F. Atchadé authored at least 16 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A statistical perspective on algorithm unrolling models for inverse problems.

Yves F. Atchadé, Xinru Liu, Qiuyun Zhu

CoRR, 2023

Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models.

Alexander Lin, Bahareh Tolooshams, Yves F. Atchadé, Demba E. Ba

Proceedings of the International Conference on Machine Learning, 2023

2021

Approximate Spectral Gaps for Markov Chain Mixing Times in High Dimensions.

Yves F. Atchadé

SIAM J. Math. Data Sci., 2021

2020

Markov chain Monte Carlo algorithms with sequential proposals.

Joonha Park, Yves F. Atchadé

Stat. Comput., 2020

Sequential change-point detection in high-dimensional Gaussian graphical models.

Hossein Keshavarz, George Michailidis, Yves F. Atchadé

J. Mach. Learn. Res., 2020

On Bayesian sparse canonical correlation analysis via Rayleigh quotient framework.

Qiuyun Zhu, Yves F. Atchadé

CoRR, 2020

2019

Quasi-Bayesian estimation of large Gaussian graphical models.

Yves F. Atchadé

J. Multivar. Anal., 2019

2018

Change-Point Computation for Large Graphical Models: A Scalable Algorithm for Gaussian Graphical Models with Change-Points.

Leland Bybee, Yves F. Atchadé

J. Mach. Learn. Res., 2018

Stochastic Fista Algorithms: So Fast ?

Gersende Fort, Laurent Risser, Yves F. Atchadé, Eric Moulines

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

2017

On Perturbed Proximal Gradient Algorithms.

Yves F. Atchadé, Gersende Fort, Eric Moulines

J. Mach. Learn. Res., 2017

2015

On the convergence rates of some adaptive Markov chain Monte Carlo algorithms.

Yves F. Atchadé, Yizao Wang

J. Appl. Probab., 2015

2014

Approximate Bayesian Computation for Exponential Random Graph Models for Large Social Networks.

Jing Wang, Yves F. Atchadé

Commun. Stat. Simul. Comput., 2014

2013

Modeling Choice Interdependence in a Social Network.

Jing Wang, Anocha Aribarg, Yves F. Atchadé

Mark. Sci., 2013

2011

Towards optimal scaling of metropolis-coupled Markov chain Monte Carlo.

Yves F. Atchadé, Gareth O. Roberts, Jeffrey S. Rosenthal

Stat. Comput., 2011

A computational framework for empirical Bayes inference.

Yves F. Atchadé

Stat. Comput., 2011

2006

On the efficiency of adaptive MCMC algorithms.

Christophe Andrieu, Yves F. Atchadé

Proceedings of the 1st International Conference on Performance Evaluation Methodolgies and Tools, 2006