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ORCIDAntoine Dedieu
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2020 – today
- 2024
[c8]Antoine Dedieu, Wolfgang Lehrach, Guangyao Zhou, Dileep George, Miguel Lázaro-Gredilla:
Learning Cognitive Maps from Transformer Representations for Efficient Planning in Partially Observed Environments. ICML 2024- [i13]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 abs/2401.05946 (2024) - 2023
- [j3]Rahul Mazumder
, Peter Radchenko, Antoine Dedieu:
Subset Selection with Shrinkage: Sparse Linear Modeling When the SNR Is Low. Oper. Res. 71(1): 129-147 (2023) - [c7]Antoine Dedieu, Guangyao Zhou, Dileep George, Miguel Lázaro-Gredilla:
Learning Noisy OR Bayesian Networks with Max-Product Belief Propagation. ICML 2023: 7426-7448 - [c6]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 - [i12]Antoine Dedieu, Guangyao Zhou, Dileep George, Miguel Lázaro-Gredilla:
Learning noisy-OR Bayesian Networks with Max-Product Belief Propagation. CoRR abs/2302.00099 (2023) - [i11]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 abs/2307.01201 (2023) - 2022
- [j2]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: 164:1-164:41 (2022) - 2021
- [j1]Antoine Dedieu, Hussein Hazimeh, Rahul Mazumder:
Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives. J. Mach. Learn. Res. 22: 135:1-135:47 (2021) - [c5]Antoine Dedieu, Miguel Lázaro-Gredilla, Dileep George:
Sample-Efficient L0-L2 Constrained Structure Learning of Sparse Ising Models. AAAI 2021: 7193-7200 - [c4]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: 8252-8260 - [c3]Miguel Lázaro-Gredilla, Antoine Dedieu, Dileep George:
Perturb-and-max-product: Sampling and learning in discrete energy-based models. NeurIPS 2021: 928-940 - [i10]Miguel Lázaro-Gredilla, Antoine Dedieu, Dileep George:
Perturb-and-max-product: Sampling and learning in discrete energy-based models. CoRR abs/2111.02458 (2021) - [i9]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 abs/2112.03371 (2021) - 2020
- [i8]Antoine Dedieu, Hussein Hazimeh, Rahul Mazumder:
Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives. CoRR abs/2001.06471 (2020) - [i7]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 abs/2006.06803 (2020) - [i6]Antoine Dedieu, Miguel Lázaro-Gredilla, Dileep George:
Sample-efficient L0-L2 constrained structure learning of sparse Ising models. CoRR abs/2012.01744 (2020)
2010 – 2019
- 2019
- [c2]Antoine Dedieu:
Error bounds for sparse classifiers in high-dimensions. AISTATS 2019: 48-56 - [i5]Antoine Dedieu, Rahul Mazumder:
Solving large-scale L1-regularized SVMs and cousins: the surprising effectiveness of column and constraint generation. CoRR abs/1901.01585 (2019) - [i4]Antoine Dedieu, Nishad Gothoskar, Scott Swingle, Wolfgang Lehrach, Miguel Lázaro-Gredilla, Dileep George:
Learning higher-order sequential structure with cloned HMMs. CoRR abs/1905.00507 (2019) - [i3]Antoine Dedieu:
Sparse (group) learning with Lipschitz loss functions: a unified analysis. CoRR abs/1910.08880 (2019) - [i2]Antoine Dedieu:
An error bound for Lasso and Group Lasso in high dimensions. CoRR abs/1912.11398 (2019) - 2018
- [c1]Antoine Dedieu, Rahul Mazumder, Zhen Zhu, Hossein Vahabi:
Hierarchical Modeling and Shrinkage for User Session LengthPrediction in Media Streaming. CIKM 2018: 607-616 - [i1]Antoine Dedieu, Rahul Mazumder, Zhen Zhu, Hossein Vahabi:
Hierarchical Modeling and Shrinkage for User Session Length Prediction in Media Streaming. CoRR abs/1803.01440 (2018)
Coauthor Index
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