Jean Honorio
Orcid: 0000-0002-6448-0598
According to our database1,
Jean Honorio
authored at least 104 papers
between 2008 and 2024.
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Bibliography
2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms.
CoRR, 2023
Learning Against Distributional Uncertainty: On the Trade-off Between Robustness and Specificity.
CoRR, 2023
Proceedings of the International Conference on Machine Learning, 2023
Provable Computational and Statistical Guarantees for Efficient Learning of Continuous-Action Graphical Games.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
J. Mach. Learn. Res., 2022
CoRR, 2022
Meta Learning for High-dimensional Ising Model Selection Using $\ell_1$-regularized Logistic Regression.
CoRR, 2022
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the IEEE International Symposium on Information Theory, 2022
Proceedings of the International Conference on Machine Learning, 2022
Sparse Mixed Linear Regression with Guarantees: Taming an Intractable Problem with Invex Relaxation.
Proceedings of the International Conference on Machine Learning, 2022
Exact Partitioning of High-Order Planted Models with A Tensor Nuclear Norm Constraint.
Proceedings of the IEEE International Conference on Acoustics, 2022
Information Theoretic Limits For Standard and One-Bit Compressed Sensing with Graph-Structured Sparsity.
Proceedings of the IEEE International Conference on Acoustics, 2022
Provable Sample Complexity Guarantees For Learning Of Continuous-Action Graphical Games With Nonparametric Utilities.
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
A Thorough View of Exact Inference in Graphs from the Degree-4 Sum-of-Squares Hierarchy.
CoRR, 2021
CoRR, 2021
Proceedings of the 30th USENIX Security Symposium, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Fair Sparse Regression with Clustering: An Invex Relaxation for a Combinatorial Problem.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the IEEE International Symposium on Information Theory, 2021
Information Theoretic Limits of Exact Recovery in Sub-hypergraph Models for Community Detection.
Proceedings of the IEEE International Symposium on Information Theory, 2021
Regularized Loss Minimizers with Local Data Perturbation: Consistency and Data Irrecoverability.
Proceedings of the IEEE International Symposium on Information Theory, 2021
First Order Methods take Exponential Time to Converge to Global Minimizers of Non-Convex Functions.
Proceedings of the IEEE International Symposium on Information Theory, 2021
Proceedings of the IEEE International Symposium on Information Theory, 2021
Proceedings of the IEEE International Symposium on Information Theory, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Novel Change of Measure Inequalities with Applications to PAC-Bayesian Bounds and Monte Carlo Estimation.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
Information Theoretic Sample Complexity Lower Bound for Feed-Forward Fully-Connected Deep Networks.
CoRR, 2020
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Provable Efficient Skeleton Learning of Encodable Discrete Bayes Nets in Poly-Time and Sample Complexity.
Proceedings of the IEEE International Symposium on Information Theory, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the IEEE International Symposium on Information Theory, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 57th Annual Allerton Conference on Communication, 2019
2018
CoRR, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Computationally and statistically efficient learning of causal Bayes nets using path queries.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Learning Maximum-A-Posteriori Perturbation Models for Structured Prediction in Polynomial Time.
Proceedings of the 35th International Conference on Machine Learning, 2018
Statistically and Computationally Efficient Variance Estimator for Kernel Ridge Regression.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
2017
Learning Bayes networks using interventional path queries in polynomial time and sample complexity.
CoRR, 2017
Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017
Proceedings of the 55th Annual Allerton Conference on Communication, 2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
2016
CoRR, 2016
Structured Prediction: From Gaussian Perturbations to Linear-Time Principled Algorithms.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016
Proceedings of the IEEE International Symposium on Information Theory, 2016
Proceedings of the 54th Annual Allerton Conference on Communication, 2016
2015
Learning the structure and parameters of large-population graphical games from behavioral data.
J. Mach. Learn. Res., 2015
Predictive sparse modeling of fMRI data for improved classification, regression, and visualization using the k-support norm.
Comput. Medical Imaging Graph., 2015
2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Tight Bounds for the Expected Risk of Linear Classifiers and PAC-Bayes Finite-Sample Guarantees.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
2013
Inverse Covariance Estimation for High-Dimensional Data in Linear Time and Space: Spectral Methods for Riccati and Sparse Models.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
2012
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
CoRR, 2012
Convergence Rates of Biased Stochastic Optimization for Learning Sparse Ising Models.
Proceedings of the 29th International Conference on Machine Learning, 2012
Two-person interaction detection using body-pose features and multiple instance learning.
Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012
2011
Proceedings of the UAI 2011, 2011
2010
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010
2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
2008
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008