J. Honorio

Most-cited papers

Learning linear structural equation models in polynomial time and sample complexity
Asish Ghoshal, J. Honorio
2017International Conference on Artificial Intelligence and Statistics100 citations
Semantic Scholar
Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity
Asish Ghoshal, J. Honorio
2017Neural Information Processing Systems61 citations
Semantic Scholar
Novel Change of Measure Inequalities with Applications to PAC-Bayesian Bounds and Monte Carlo Estimation
Yuki Ohnishi, J. Honorio
2020International Conference on Artificial Intelligence and Statistics40 citations
Semantic Scholar
Information-theoretic limits of Bayesian network structure learning
Asish Ghoshal, J. Honorio
2016International Conference on Artificial Intelligence and Statistics31 citations
Semantic Scholar
A Simple Unified Framework for High Dimensional Bandit Problems
Wenjie Li, Adarsh Barik, J. Honorio
2021International Conference on Machine Learning30 citations
Semantic Scholar
On the Correctness and Sample Complexity of Inverse Reinforcement Learning
A. Komanduru, J. Honorio
2019Neural Information Processing Systems16 citations
Semantic Scholar
Computationally and statistically efficient learning of causal Bayes nets using path queries
Kevin Bello, J. Honorio
2017Neural Information Processing Systems14 citations
Semantic Scholar
Information-theoretic Limits for Community Detection in Network Models
Chuyang Ke, J. Honorio
2018Neural Information Processing Systems13 citations
Semantic Scholar
Reconstructing a Bounded-Degree Directed Tree Using Path Queries
Zhao-Sen Wang, J. Honorio
2016Allerton Conference on Communication, Control, and Computing13 citations Open access
Semantic Scholar
Learning Graphical Games from Behavioral Data: Sufficient and Necessary Conditions
Asish Ghoshal, J. Honorio
2017International Conference on Artificial Intelligence and Statistics11 citations
Semantic Scholar
From behavior to sparse graphical games: Efficient recovery of equilibria
Asish Ghoshal, J. Honorio
2016Allerton Conference on Communication, Control, and Computing11 citations Open access
Semantic Scholar
Direct Learning with Guarantees of the Difference DAG Between Structural Equation Models
Asish Ghoshal, Kevin Bello, J. Honorio
201910 citations
Semantic Scholar
MEDIC: Remove Model Backdoors via Importance Driven Cloning
Qiu-Ling Xu, Guan-Hong Tao, J. Honorio, Ying-Qi Liu +4 more
2023Computer Vision and Pattern Recognition9 citations
Semantic Scholar
Sparse Mixed Linear Regression with Guarantees: Taming an Intractable Problem with Invex Relaxation
Adarsh Barik, J. Honorio
2022International Conference on Machine Learning9 citations Open access
Semantic Scholar
Inverse Reinforcement Learning in a Continuous State Space with Formal Guarantees
Gregory Dexter, Kevin Bello, J. Honorio
2021Neural Information Processing Systems9 citations
Semantic Scholar
Randomized Deep Structured Prediction for Discourse-Level Processing
Manuel Widmoser, Maria Leonor Pacheco, J. Honorio, Dan Goldwasser
2021Conference of the European Chapter of the Association for Computational Linguistics9 citations Open access
Semantic Scholar
The Error Probability of Random Fourier Features is Dimensionality Independent
J. Honorio, Yu-Jun Li
2017arXiv.org9 citations
Semantic Scholar
Federated X-Armed Bandit
Wenjie Li, Qi-Fan Song, J. Honorio, Guang Lin
2022AAAI Conference on Artificial Intelligence8 citations Open access
Semantic Scholar
Fair Sparse Regression with Clustering: An Invex Relaxation for a Combinatorial Problem
Adarsh Barik, J. Honorio
2021Neural Information Processing Systems8 citations
Semantic Scholar
Exact inference in structured prediction
Kevin Bello, J. Honorio
2019Neural Information Processing Systems8 citations
Semantic Scholar
Structured Prediction: From Gaussian Perturbations to Linear-Time Principled Algorithms
J. Honorio, T. Jaakkola
2015Conference on Uncertainty in Artificial Intelligence8 citations
Semantic Scholar
PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms
Wenjie Li, Hao-Ze Li, J. Honorio, Qi-Fan Song
2023arXiv.org7 citations
Semantic Scholar
Learning Against Distributional Uncertainty: On the Trade-Off Between Robustness and Specificity
Shixiong Wang, Hao-Wei Wang, Xin-Ke Li, J. Honorio
2023IEEE Journal on Selected Topics in Signal Processing7 citations Open access
Semantic Scholar
A Lower Bound for the Sample Complexity of Inverse Reinforcement Learning
A. Komanduru, J. Honorio
2021International Conference on Machine Learning7 citations
Semantic Scholar
Meta Learning for Support Recovery in High-dimensional Precision Matrix Estimation
Qian Zhang, Yilin Zheng, J. Honorio
2020International Conference on Machine Learning7 citations
Semantic Scholar
Learning Bayesian Networks with Low Rank Conditional Probability Tables
Adarsh Barik, J. Honorio
2019Neural Information Processing Systems7 citations
Semantic Scholar
Invex Programs: First Order Algorithms and Their Convergence
Adarsh Barik, Suvrit Sra, J. Honorio
2023arXiv.org6 citations Open access
Semantic Scholar
Information Theoretic Limits of Exact Recovery in Sub-hypergraph Models for Community Detection
Jiaiun Liang, Chuyang Ke, J. Honorio
2021International Symposium on Information Theory6 citations Open access
Semantic Scholar
Fairness constraints can help exact inference in structured prediction
Kevin Bello, J. Honorio
2020Neural Information Processing Systems6 citations
Semantic Scholar
Direct Estimation of Difference Between Structural Equation Models in High Dimensions
Asish Ghoshal, J. Honorio
20196 citations
Semantic Scholar
Learning Sparse Polymatrix Games in Polynomial Time and Sample Complexity
Asish Ghoshal, J. Honorio
2017International Conference on Artificial Intelligence and Statistics6 citations
Semantic Scholar
Federated Myopic Community Detection with One-shot Communication
Chuyang Ke, J. Honorio
2021International Conference on Artificial Intelligence and Statistics5 citations
Semantic Scholar
Exact Inference in High-order Structured Prediction
Chuyang Ke, J. Honorio
2023International Conference on Machine Learning4 citations Open access
Semantic Scholar
Distributional Robustness Bounds Generalization Errors
Shixiong Wang, Hao-Wei Wang, J. Honorio
2022arXiv.org4 citations Open access
Semantic Scholar
Learning latent variable structured prediction models with Gaussian perturbations
Kevin Bello, J. Honorio
2018Neural Information Processing Systems4 citations
Semantic Scholar
Outlier-robust Estimation of a Sparse Linear Model Using Invexity
Adarsh Barik, J. Honorio
2023arXiv.org3 citations Open access
Semantic Scholar
Matrix Completion from General Deterministic Sampling Patterns
Hanbyul Lee, R. Mazumder, Qi-Fan Song, J. Honorio
2023arXiv.org3 citations Open access
Semantic Scholar
Support Recovery in Sparse PCA with Incomplete Data
Hanbyul Lee, Qi-Fan Song, J. Honorio
2022Neural Information Processing Systems3 citations Open access
Semantic Scholar
The Sample Complexity of Meta Sparse Regression
Zhanyu Wang, J. Honorio
2020International Conference on Artificial Intelligence and Statistics3 citations
Semantic Scholar
Information-theoretic lower bounds for zero-order stochastic gradient estimation
Abdulrahman Alabdulkareem, J. Honorio
2020International Symposium on Information Theory3 citations Open access
Semantic Scholar
Provable Efficient Skeleton Learning of Encodable Discrete Bayes Nets in Poly-Time and Sample Complexity
Adarsh Bank, J. Honorio
2020International Symposium on Information Theory3 citations
Semantic Scholar
Provable Sample Complexity Guarantees For Learning Of Continuous-Action Graphical Games With Nonparametric Utilities
Adarsh Barik, J. Honorio
2020IEEE International Conference on Acoustics, Speech, and Signal Processing3 citations
Semantic Scholar
Provable Computational and Statistical Guarantees for Efficient Learning of Continuous-Action Graphical Games
Adarsh Barik, J. Honorio
2019IEEE International Conference on Acoustics, Speech, and Signal Processing3 citations Open access
Semantic Scholar
Exact Inference with Latent Variables in an Arbitrary Domain
Chuyang Ke, J. Honorio
20193 citations
Semantic Scholar
Learning Maximum-A-Posteriori Perturbation Models for Structured Prediction in Polynomial Time
Asish Ghoshal, J. Honorio
2018International Conference on Machine Learning3 citations
Semantic Scholar
Exact Support Recovery in Federated Regression with One-shot Communication
Adarsh Barik, J. Honorio
2020arXiv.org2 citations
Semantic Scholar
Exact Partitioning of High-Order Planted Models with A Tensor Nuclear Norm Constraint
Chuyang Ke, J. Honorio
2020IEEE International Conference on Acoustics, Speech, and Signal Processing2 citations
Semantic Scholar
Minimax bounds for structured prediction
Kevin Bello, Asish Ghoshal, J. Honorio
2019International Conference on Artificial Intelligence and Statistics2 citations
Semantic Scholar
Exact Recovery in the Latent Space Model
Chuyang Ke, J. Honorio
2019arXiv.org2 citations
Semantic Scholar
Learning Bayes networks using interventional path queries in polynomial time and sample complexity
Kevin Bello, J. Honorio
2017arXiv.org2 citations
Semantic Scholar