Antoine Dedieu
Antoine Dedieu
Researcher, Vicarious, MIT
Bestätigte E-Mail-Adresse bei vicarious.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Subset selection with shrinkage: Sparse linear modeling when the SNR is low
R Mazumder, P Radchenko, A Dedieu
arXiv preprint arXiv:1708.03288, 2017
412017
Learning sparse classifiers: Continuous and mixed integer optimization perspectives
A Dedieu, H Hazimeh, R Mazumder
arXiv preprint arXiv:2001.06471, 2020
82020
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
82019
Error bounds for sparse classifiers in high-dimensions
A Dedieu
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
42019
Deep reinforcement learning for 2048
A Dedieu, J Amar
Conference on Neural Information Processing Systems (NIPS), 31st, Long Beach …, 2017
42017
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
32019
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
22020
Learning cognitive maps for vicarious evaluation
RV Rikhye, N Gothoskar, JS Guntupalli, A Dedieu, M Lázaro-Gredilla, ...
bioRxiv, 864421, 2020
22020
Sparse (group) learning with Lipschitz loss functions: a unified analysis
A Dedieu
arXiv preprint arXiv:1910.08880, 2019
22019
Learning cognitive maps as structured graphs for vicarious evaluation
RV Rikhye, N Gothoskar, JS Guntupalli, A Dedieu, M Lázaro-Gredilla, ...
12019
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
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
2021
Sample-efficient L0-L2 constrained structure learning of sparse Ising models
A Dedieu, M Lázaro-Gredilla, D George
arXiv preprint arXiv:2012.01744, 2020
2020
Query Training: Learning and inference for directed and undirected graphical models
M Lázaro-Gredilla, W Lehrach, N Gothoskar, G Zhou, A Dedieu, D George
arXiv preprint arXiv:2006.06803, 2020
2020
An error bound for Lasso and Group Lasso in high dimensions
A Dedieu
arXiv preprint arXiv:1912.11398, 2019
2019
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
2018
Hierarchical Modeling and Shrinkage for User Session LengthPrediction in Media Streaming
Z Zhu, H Vahabi, A Dedieu, R Mazumder
Association for Computer Machinery, 2018
2018
Sparse learning: statistical and optimization perspectives
A Dedieu
Massachusetts Institute of Technology, 2018
2018
Hierarchical Bayesian Gaussian Mixtures for User Session Length Modeling in Media Streaming–Project Report
A Dedieu
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–19