Antoine Dedieu

According to our database, Antoine Dedieu authored at least 18 papers between 2018 and 2024.

Collaborative distances:

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

2024

Learning Cognitive Maps from Transformer Representations for Efficient Planning in Partially Observed Environments.

Antoine Dedieu, Wolfgang Lehrach, Guangyao Zhou, Dileep George, Miguel Lázaro-Gredilla

CoRR, 2024

2023

Subset Selection with Shrinkage: Sparse Linear Modeling When the SNR Is Low.

Rahul Mazumder, Peter Radchenko, Antoine Dedieu

Oper. Res., January, 2023

Schema-learning and rebinding as mechanisms of in-context learning and emergence.

Sivaramakrishnan Swaminathan, Antoine Dedieu, Rajkumar Vasudeva Raju, Murray Shanahan, Miguel Lázaro-Gredilla, Dileep George

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Noisy OR Bayesian Networks with Max-Product Belief Propagation.

Antoine Dedieu, Guangyao Zhou, Dileep George, Miguel Lázaro-Gredilla

Proceedings of the International Conference on Machine Learning, 2023

2022

Solving L1-regularized SVMs and Related Linear Programs: Revisiting the Effectiveness of Column and Constraint Generation.

Antoine Dedieu, Rahul Mazumder, Haoyue Wang

J. Mach. Learn. Res., 2022

2021

Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives.

Antoine Dedieu, Hussein Hazimeh, Rahul Mazumder

J. Mach. Learn. Res., 2021

Graphical Models with Attention for Context-Specific Independence and an Application to Perceptual Grouping.

Guangyao Zhou, Wolfgang Lehrach, Antoine Dedieu, Miguel Lázaro-Gredilla, Dileep George

CoRR, 2021

Perturb-and-max-product: Sampling and learning in discrete energy-based models.

Miguel Lázaro-Gredilla, Antoine Dedieu, Dileep George

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Query Training: Learning a Worse Model to Infer Better Marginals in Undirected Graphical Models with Hidden Variables.

Miguel Lázaro-Gredilla, Wolfgang Lehrach, Nishad Gothoskar, Guangyao Zhou, Antoine Dedieu, Dileep George

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Sample-Efficient L0-L2 Constrained Structure Learning of Sparse Ising Models.

Antoine Dedieu, Miguel Lázaro-Gredilla, Dileep George

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Query Training: Learning and inference for directed and undirected graphical models.

Miguel Lázaro-Gredilla, Wolfgang Lehrach, Nishad Gothoskar, Guangyao Zhou, Antoine Dedieu, Dileep George

CoRR, 2020

2019

An error bound for Lasso and Group Lasso in high dimensions.

Antoine Dedieu

CoRR, 2019

Sparse (group) learning with Lipschitz loss functions: a unified analysis.

Antoine Dedieu

CoRR, 2019

Learning higher-order sequential structure with cloned HMMs.

Antoine Dedieu, Nishad Gothoskar, Scott Swingle, Wolfgang Lehrach, Miguel Lázaro-Gredilla, Dileep George

CoRR, 2019

Solving large-scale L1-regularized SVMs and cousins: the surprising effectiveness of column and constraint generation.

Antoine Dedieu, Rahul Mazumder

CoRR, 2019

Error bounds for sparse classifiers in high-dimensions.

Antoine Dedieu

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Hierarchical Modeling and Shrinkage for User Session Length Prediction in Media Streaming.

Antoine Dedieu, Rahul Mazumder, Zhen Zhu, Hossein Vahabi

CoRR, 2018

Hierarchical Modeling and Shrinkage for User Session LengthPrediction in Media Streaming.

Antoine Dedieu, Rahul Mazumder, Zhen Zhu, Hossein Vahabi

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018