Antoine Dedieu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 23

Top Topics

Media Streaming

Models With Hidden Variables

Belief Propagation

Top Venues

J. Mach. Learn. Res.

Publications

Antoine Dedieu, Wolfgang Lehrach, Guangyao Zhou, Dileep George, Miguel Lázaro-Gredilla
Learning Cognitive Maps from Transformer Representations for Efficient Planning in Partially Observed Environments. CoRR (2024)
Antoine Dedieu, Guangyao Zhou, Dileep George, Miguel Lázaro-Gredilla
Learning noisy-OR Bayesian Networks with Max-Product Belief Propagation. CoRR (2023)
Rahul Mazumder, Peter Radchenko, Antoine Dedieu
Subset Selection with Shrinkage: Sparse Linear Modeling When the SNR Is Low. Oper. Res. 71 (1) (2023)
Sivaramakrishnan Swaminathan, Antoine Dedieu, Rajkumar Vasudeva Raju, Murray Shanahan, Miguel Lázaro-Gredilla, Dileep George
Schema-learning and rebinding as mechanisms of in-context learning and emergence. CoRR (2023)
Antoine Dedieu, Guangyao Zhou, Dileep George, Miguel Lázaro-Gredilla
Learning Noisy OR Bayesian Networks with Max-Product Belief Propagation. ICML (2023)
Sivaramakrishnan Swaminathan, Antoine Dedieu, Rajkumar Vasudeva Raju, Murray Shanahan, Miguel Lázaro-Gredilla, Dileep George
Schema-learning and rebinding as mechanisms of in-context learning and emergence. NeurIPS (2023)
Antoine Dedieu, Rahul Mazumder, Haoyue Wang
Solving L1-regularized SVMs and Related Linear Programs: Revisiting the Effectiveness of Column and Constraint Generation. J. Mach. Learn. Res. 23 (2022)
Antoine Dedieu, Miguel Lázaro-Gredilla, Dileep George
Sample-Efficient L0-L2 Constrained Structure Learning of Sparse Ising Models. AAAI (2021)
Guangyao Zhou, Wolfgang Lehrach, Antoine Dedieu, Miguel Lázaro-Gredilla, Dileep George
Graphical Models with Attention for Context-Specific Independence and an Application to Perceptual Grouping. CoRR (2021)
Miguel Lázaro-Gredilla, Wolfgang Lehrach, Nishad Gothoskar, Guangyao Zhou, Antoine Dedieu, Dileep George
Query Training: Learning a Worse Model to Infer Better Marginals in Undirected Graphical Models with Hidden Variables. AAAI (2021)
Miguel Lázaro-Gredilla, Antoine Dedieu, Dileep George
Perturb-and-max-product: Sampling and learning in discrete energy-based models. NeurIPS (2021)
Antoine Dedieu, Hussein Hazimeh, Rahul Mazumder
Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives. J. Mach. Learn. Res. 22 (2021)
Miguel Lázaro-Gredilla, Antoine Dedieu, Dileep George
Perturb-and-max-product: Sampling and learning in discrete energy-based models. CoRR (2021)
Antoine Dedieu, Hussein Hazimeh, Rahul Mazumder
Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives. CoRR (2020)
Antoine Dedieu, Miguel Lázaro-Gredilla, Dileep George
Sample-efficient L0-L2 constrained structure learning of sparse Ising models. CoRR (2020)
Miguel Lázaro-Gredilla, Wolfgang Lehrach, Nishad Gothoskar, Guangyao Zhou, Antoine Dedieu, Dileep George
Query Training: Learning and inference for directed and undirected graphical models. CoRR (2020)
Antoine Dedieu
Error bounds for sparse classifiers in high-dimensions. AISTATS (2019)
Antoine Dedieu
Sparse (group) learning with Lipschitz loss functions: a unified analysis. CoRR (2019)
Antoine Dedieu
An error bound for Lasso and Group Lasso in high dimensions. CoRR (2019)
Antoine Dedieu, Rahul Mazumder
Solving large-scale L1-regularized SVMs and cousins: the surprising effectiveness of column and constraint generation. CoRR (2019)
Antoine Dedieu, Nishad Gothoskar, Scott Swingle, Wolfgang Lehrach, Miguel Lázaro-Gredilla, Dileep George
Learning higher-order sequential structure with cloned HMMs. CoRR (2019)
Antoine Dedieu, Rahul Mazumder, Zhen Zhu, Hossein Vahabi
Hierarchical Modeling and Shrinkage for User Session LengthPrediction in Media Streaming. CIKM (2018)
Antoine Dedieu, Rahul Mazumder, Zhen Zhu, Hossein Vahabi
Hierarchical Modeling and Shrinkage for User Session Length Prediction in Media Streaming. CoRR (2018)