Antoine Dedieu
Antoine Dedieu
Researcher, Vicarious, MIT
Verified email at - Homepage
Cited by
Cited by
Subset selection with shrinkage: Sparse linear modeling when the SNR is low
R Mazumder, P Radchenko, A Dedieu
arXiv preprint arXiv:1708.03288, 2017
Learning sparse classifiers: Continuous and mixed integer optimization perspectives
A Dedieu, H Hazimeh, R Mazumder
arXiv preprint arXiv:2001.06471, 2020
Learning higher-order sequential structure with cloned HMMs
A Dedieu, N Gothoskar, S Swingle, W Lehrach, M Lázaro-Gredilla, ...
arXiv preprint arXiv:1905.00507, 2019
Deep reinforcement learning for 2048
A Dedieu, J Amar
Clone-structured graph representations enable flexible learning and vicarious evaluation of cognitive maps
D George, RV Rikhye, N Gothoskar, JS Guntupalli, A Dedieu, ...
Nature communications 12 (1), 1-17, 2021
Error bounds for sparse classifiers in high-dimensions
A Dedieu
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
Solving large-scale l1-regularized svms and cousins: the surprising effectiveness of column and constraint generation
A Dedieu, R Mazumder
arXiv preprint arXiv:1901.01585, 2019
A detailed mathematical theory of thalamic and cortical microcircuits based on inference in a generative vision model
D George, M Lazaro-Gredilla, W Lehrach, A Dedieu, G Zhou
bioRxiv, 2020
Sparse (group) learning with Lipschitz loss functions: a unified analysis
A Dedieu
arXiv preprint arXiv:1910.08880, 2019
Query Training: Learning a Worse Model to Infer Better Marginals in Undirected Graphical Models with Hidden Variables
M Lázaro-Gredilla, W Lehrach, N Gothoskar, G Zhou, A Dedieu, D George
Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 8252-8260, 2021
An error bound for Lasso and Group Lasso in high dimensions
A Dedieu
arXiv preprint arXiv:1912.11398, 2019
Sample-Efficient L0-L2 Constrained Structure Learning of Sparse Ising Models
A Dedieu, M Lázaro-Gredilla, D George
Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 7193-7200, 2021
Method and system for query training
M Lazaro-Gredilla, W Lehrach, N Gothoskar, Z GuangYao, A Dedieu, ...
US Patent App. 17/077,542, 2021
Learning attention-controllable border-ownership for objectness inference and binding
A Dedieu, RV Rikhye, M Lazaro-Gredilla, D George
bioRxiv, 2020.12. 31.424926, 2021
Hierarchical Modeling and Shrinkage for User Session LengthPrediction in Media Streaming
A Dedieu, R Mazumder, Z Zhu, H Vahabi
Proceedings of the 27th ACM International Conference on Information and …, 2018
Sparse learning: statistical and optimization perspectives
A Dedieu
Massachusetts Institute of Technology, 2018
Hierarchical Bayesian Gaussian Mixtures for User Session Length Modeling in Media Streaming–Project Report
A Dedieu
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