Yves F. Atchadé

21 papers A* 1Journal 18Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
A statistical perspective on algorithm unrolling models for inverse problems.
J. Mach. Learn. Res.
Yves F. Atchadé, Xinru Liu, Qiuyun Zhu
2024 J jnl
Data-driven rainfall prediction at a regional scale: a case study with Ghana.
CoRR
Indrajit Kalita, Lucia Vilallonga, Yves F. Atchadé
2024 J jnl
On the estimation rate of Bayesian PINN for inverse problems.
CoRR
Yi Sun, Debarghya Mukherjee, Yves F. Atchadé
2023 J jnl
A statistical perspective on algorithm unrolling models for inverse problems.
CoRR
Yves F. Atchadé, Xinru Liu, Qiuyun Zhu
2023 A* conf
Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models.
ICML
Alexander Lin, Bahareh Tolooshams, Yves F. Atchadé, Demba E. Ba
2023 J jnl
Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models.
CoRR
Alexander Lin, Bahareh Tolooshams, Yves F. Atchadé, Demba E. Ba
2021 J jnl
Approximate Spectral Gaps for Markov Chain Mixing Times in High Dimensions.
SIAM J. Math. Data Sci.
Yves F. Atchadé
2020 J jnl
Markov chain Monte Carlo algorithms with sequential proposals.
Stat. Comput.
Joonha Park, Yves F. Atchadé
2020 J jnl
On Bayesian sparse canonical correlation analysis via Rayleigh quotient framework.
CoRR
Qiuyun Zhu, Yves F. Atchadé
2020 J jnl
Sequential change-point detection in high-dimensional Gaussian graphical models.
J. Mach. Learn. Res.
Hossein Keshavarz, George Michailidis, Yves F. Atchadé
2019 J jnl
Quasi-Bayesian estimation of large Gaussian graphical models.
J. Multivar. Anal.
Yves F. Atchadé
2018 J jnl
Change-Point Computation for Large Graphical Models: A Scalable Algorithm for Gaussian Graphical Models with Change-Points.
J. Mach. Learn. Res.
Leland Bybee, Yves F. Atchadé
2018 J jnl
Sequential change-point detection in high-dimensional Gaussian graphical models.
CoRR
Hossein Keshavarz, George Michailidis, Yves F. Atchadé
2018 — conf
Stochastic Fista Algorithms: So Fast ?
SSP
Gersende Fort, Laurent Risser, Yves F. Atchadé, Eric Moulines
2017 J jnl
On Perturbed Proximal Gradient Algorithms.
J. Mach. Learn. Res.
Yves F. Atchadé, Gersende Fort, Eric Moulines
2015 J jnl
On the convergence rates of some adaptive Markov chain Monte Carlo algorithms.
J. Appl. Probab.
Yves F. Atchadé, Yizao Wang
2014 J jnl
Approximate Bayesian Computation for Exponential Random Graph Models for Large Social Networks.
Commun. Stat. Simul. Comput.
Jing Wang, Yves F. Atchadé
2013 J jnl
Modeling Choice Interdependence in a Social Network.
Mark. Sci.
Jing Wang, Anocha Aribarg, Yves F. Atchadé
2011 J jnl
A computational framework for empirical Bayes inference.
Stat. Comput.
Yves F. Atchadé
2011 J jnl
Towards optimal scaling of metropolis-coupled Markov chain Monte Carlo.
Stat. Comput.
Yves F. Atchadé, Gareth O. Roberts, Jeffrey S. Rosenthal
2006 — conf
On the efficiency of adaptive MCMC algorithms.
VALUETOOLS
Christophe Andrieu, Yves F. Atchadé