Jean Honorio - RankMe

161 papers A* 23A 19B 11Misc 6Journal 90Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Disentangling Reasoning in Large Audio-Language Models for Ambiguous Emotion Prediction. CoRR Xiaofeng Yu, Jiaheng Dong, Jean Honorio, Abhirup Ghosh, Hong Jia, Ting Dang
2026	J	`jnl`	Planning as Goal Recognition: Deriving Heuristics from Intention Models - Extended Version. CoRR Giacomo Rosa, Jean Honorio, Nir Lipovetzky, Sebastian Sardiña
2025	Misc	`conf`	Exact Solutions of the Inner Optimization Problem of Adversarial Robustness. ICASSP Deepak Maurya, Adarsh Barik, Jean Honorio
2025	J	`jnl`	Learning Against Distributional Uncertainty: On the Trade-Off Between Robustness and Specificity. IEEE J. Sel. Top. Signal Process. Shixiong Wang, Haowei Wang, Xinke Li, Jean Honorio
2025	Misc	`conf`	Partial Inference in Structured Prediction. ICASSP Chuyang Ke, Deepak Maurya, Jean Honorio
2024	J	`jnl`	A Theoretical Study of The Effects of Adversarial Attacks on Sparse Regression. Trans. Mach. Learn. Res. Deepak Maurya, Jean Honorio
2024	A*	`conf`	Federated X-armed Bandit. AAAI Wenjie Li, Qifan Song, Jean Honorio, Guang Lin
2024	A	`conf`	Identifying Causal Changes Between Linear Structural Equation Models. UAI Vineet Malik, Kevin Bello, Asish Ghoshal, Jean Honorio
2024	J	`jnl`	Meta Learning for Support Recovery of High-Dimensional Ising Models. Trans. Mach. Learn. Res. Huiming Xie, Jean Honorio
2024	J	`jnl`	On the Dual Problem of Convexified Convolutional Neural Networks. Trans. Mach. Learn. Res. Site Bai, Chuyang Ke, Jean Honorio
2024	J	`jnl`	Optimal bounds on a tree inference algorithm. CoRR Jack Gardiner, Lachlan L. H. Andrew, Junhao Gan, Jean Honorio, Seeun William Umboh
2024	A	`conf`	Personalized Federated X-armed Bandit. AISTATS Wenjie Li, Qifan Song, Jean Honorio
2024	J	`jnl`	Provable Guarantees for Sparsity Recovery with Deterministic Missing Data Patterns. Trans. Mach. Learn. Res. Chuyang Ke, Jean Honorio
2024	J	`jnl`	PyXAB - A Python Library for \mathcal{X}-Armed Bandit and Online Blackbox Optimization Algorithms. J. Open Source Softw. Wenjie Li, Haoze Li, Qifan Song, Jean Honorio
2024	J	`jnl`	Recovering Exact Support in Federated lasso without Optimization. Trans. Mach. Learn. Res. Adarsh Barik, Jean Honorio
2024	A	`conf`	Support Recovery in Sparse PCA with General Missing Data. UAI Hanbyul Lee, Qifan Song, Jean Honorio
2023	A*	`conf`	Exact Inference in High-order Structured Prediction. ICML Chuyang Ke, Jean Honorio
2023	J	`jnl`	Exact Inference in High-order Structured Prediction. CoRR Chuyang Ke, Jean Honorio
2023	J	`jnl`	Invex Programs: First Order Algorithms and Their Convergence. CoRR Adarsh Barik, Suvrit Sra, Jean Honorio
2023	J	`jnl`	Learning Against Distributional Uncertainty: On the Trade-off Between Robustness and Specificity. CoRR Shixiong Wang, Haowei Wang, Jean Honorio
2023	A*	`conf`	MEDIC: Remove Model Backdoors via Importance Driven Cloning. CVPR Qiuling Xu, Guanhong Tao, Jean Honorio, Yingqi Liu, Shengwei An, Guangyu Shen, Siyuan Cheng, Xiangyu Zhang
2023	J	`jnl`	Matrix Completion from General Deterministic Sampling Patterns. CoRR Hanbyul Lee, Rahul Mazumder, Qifan Song, Jean Honorio
2023	J	`jnl`	Outlier-robust Estimation of a Sparse Linear Model Using Invexity. CoRR Adarsh Barik, Jean Honorio
2023	J	`jnl`	Partial Inference in Structured Prediction. CoRR Chuyang Ke, Jean Honorio
2023	J	`jnl`	Personalized Federated X -armed Bandit. CoRR Wenjie Li, Qifan Song, Jean Honorio
2023	Misc	`conf`	Provable Computational and Statistical Guarantees for Efficient Learning of Continuous-Action Graphical Games. ICASSP Adarsh Barik, Jean Honorio
2023	J	`jnl`	PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms. CoRR Wenjie Li, Haoze Li, Jean Honorio, Qifan Song
2023	J	`jnl`	Support Recovery in Sparse PCA with Non-Random Missing Data. CoRR Hanbyul Lee, Qifan Song, Jean Honorio
2022	J	`jnl`	A Novel Plug-and-Play Approach for Adversarially Robust Generalization. CoRR Deepak Maurya, Adarsh Barik, Jean Honorio
2022	A*	`conf`	A Simple Unified Framework for High Dimensional Bandit Problems. ICML Wenjie Li, Adarsh Barik, Jean Honorio
2022	J	`jnl`	A Theoretical Study of The Effects of Adversarial Attacks on Sparse Regression. CoRR Deepak Maurya, Jean Honorio
2022	A	`conf`	A View of Exact Inference in Graphs from the Degree-4 Sum-of-Squares Hierarchy. AISTATS Kevin Bello, Chuyang Ke, Jean Honorio
2022	J	`jnl`	Distributional Robustness Bounds Generalization Errors. CoRR Shixiong Wang, Haowei Wang, Jean Honorio
2022	J	`jnl`	Dual Convexified Convolutional Neural Networks. CoRR Site Bai, Chuyang Ke, Jean Honorio
2022	Misc	`conf`	Exact Partitioning of High-Order Planted Models with A Tensor Nuclear Norm Constraint. ICASSP Chuyang Ke, Jean Honorio
2022	J	`jnl`	Exact Partitioning of High-order Models with a Novel Convex Tensor Cone Relaxation. J. Mach. Learn. Res. Chuyang Ke, Jean Honorio
2022	A	`conf`	Federated Myopic Community Detection with One-shot Communication. AISTATS Chuyang Ke, Jean Honorio
2022	J	`jnl`	Federated X-Armed Bandit. CoRR Wenjie Li, Qifan Song, Jean Honorio, Guang Lin
2022	Misc	`conf`	Information Theoretic Limits For Standard and One-Bit Compressed Sensing with Graph-Structured Sparsity. ICASSP Adarsh Barik, Jean Honorio
2022	J	`jnl`	Meta Learning for High-dimensional Ising Model Selection Using $\ell_1$-regularized Logistic Regression. CoRR Huiming Xie, Jean Honorio
2022	J	`jnl`	Meta Sparse Principal Component Analysis. CoRR Imon Banerjee, Jean Honorio
2022	B	`conf`	On the Fundamental Limits of Exact Inference in Structured Prediction. ISIT Hanbyul Lee, Kevin Bello, Jean Honorio
2022	J	`jnl`	Provable Guarantees for Sparsity Recovery with Deterministic Missing Data Patterns. CoRR Chuyang Ke, Jean Honorio
2022	Misc	`conf`	Provable Sample Complexity Guarantees For Learning Of Continuous-Action Graphical Games With Nonparametric Utilities. ICASSP Adarsh Barik, Jean Honorio
2022	A*	`conf`	Sparse Mixed Linear Regression with Guarantees: Taming an Intractable Problem with Invex Relaxation. ICML Adarsh Barik, Jean Honorio
2022	J	`jnl`	Sparse Mixed Linear Regression with Guarantees: Taming an Intractable Problem with Invex Relaxation. CoRR Adarsh Barik, Jean Honorio
2022	A*	`conf`	Support Recovery in Sparse PCA with Incomplete Data. NeurIPS Hanbyul Lee, Qifan Song, Jean Honorio
2022	J	`jnl`	Support Recovery in Sparse PCA with Incomplete Data. CoRR Hanbyul Lee, Qifan Song, Jean Honorio
2021	B	`conf`	A Le Cam Type Bound for Adversarial Learning and Applications. ISIT Qiuling Xu, Kevin Bello, Jean Honorio
2021	A*	`conf`	A Lower Bound for the Sample Complexity of Inverse Reinforcement Learning. ICML Abi Komanduru, Jean Honorio
2021	J	`jnl`	A Lower Bound for the Sample Complexity of Inverse Reinforcement Learning. CoRR Abi Komanduru, Jean Honorio
2021	J	`jnl`	A Simple Unified Framework for High Dimensional Bandit Problems. CoRR Wenjie Li, Adarsh Barik, Jean Honorio
2021	J	`jnl`	A Thorough View of Exact Inference in Graphs from the Degree-4 Sum-of-Squares Hierarchy. CoRR Kevin Bello, Chuyang Ke, Jean Honorio
2021	A*	`conf`	Fair Sparse Regression with Clustering: An Invex Relaxation for a Combinatorial Problem. NeurIPS Adarsh Barik, Jean Honorio
2021	J	`jnl`	Fair Sparse Regression with Clustering: An Invex Relaxation for a Combinatorial Problem. CoRR Adarsh Barik, Jean Honorio
2021	J	`jnl`	Federated Myopic Community Detection with One-shot Communication. CoRR Chuyang Ke, Jean Honorio
2021	B	`conf`	First Order Methods take Exponential Time to Converge to Global Minimizers of Non-Convex Functions. ISIT Krishna Reddy Kesari, Jean Honorio
2021	B	`conf`	Information Theoretic Limits of Exact Recovery in Sub-hypergraph Models for Community Detection. ISIT Jiajun Liang, Chuyang Ke, Jean Honorio
2021	J	`jnl`	Information Theoretic Limits of Exact Recovery in Sub-hypergraph Models for Community Detection. CoRR Jiajun Liang, Chuyang Ke, Jean Honorio
2021	B	`conf`	Information-Theoretic Bounds for Integral Estimation. ISIT Donald Q. Adams, Adarsh Barik, Jean Honorio
2021	J	`jnl`	Information-Theoretic Bounds for Integral Estimation. CoRR Donald Q. Adams, Adarsh Barik, Jean Honorio
2021	B	`conf`	Information-theoretic lower bounds for zero-order stochastic gradient estimation. ISIT Abdulrahman Alabdulkareem, Jean Honorio
2021	A*	`conf`	Inverse Reinforcement Learning in a Continuous State Space with Formal Guarantees. NeurIPS Gregory Dexter, Kevin Bello, Jean Honorio
2021	J	`jnl`	Inverse Reinforcement Learning in the Continuous Setting with Formal Guarantees. CoRR Gregory Dexter, Kevin Bello, Jean Honorio
2021	A*	`conf`	Meta Learning for Support Recovery in High-dimensional Precision Matrix Estimation. ICML Qian Zhang, Yilin Zheng, Jean Honorio
2021	A	`conf`	Novel Change of Measure Inequalities with Applications to PAC-Bayesian Bounds and Monte Carlo Estimation. AISTATS Yuki Ohnishi, Jean Honorio
2021	J	`jnl`	On the Fundamental Limits of Exact Inference in Structured Prediction. CoRR Hanbyul Lee, Kevin Bello, Jean Honorio
2021	A*	`conf`	PrivSyn: Differentially Private Data Synthesis. USENIX Security Symposium Zhikun Zhang, Tianhao Wang, Ninghui Li, Jean Honorio, Michael Backes, Shibo He, Jiming Chen, Yang Zhang
2021	A	`conf`	Randomized Deep Structured Prediction for Discourse-Level Processing. EACL Manuel Widmoser, Maria Leonor Pacheco, Jean Honorio, Dan Goldwasser
2021	J	`jnl`	Randomized Deep Structured Prediction for Discourse-Level Processing. CoRR Manuel Widmoser, Maria Leonor Pacheco, Jean Honorio, Dan Goldwasser
2021	B	`conf`	Regularized Loss Minimizers with Local Data Perturbation: Consistency and Data Irrecoverability. ISIT Zitao Li, Jean Honorio
2021	A	`conf`	The Sample Complexity of Meta Sparse Regression. AISTATS Zhanyu Wang, Jean Honorio
2020	J	`jnl`	Exact Partitioning of High-order Planted Models with a Tensor Nuclear Norm Constraint. CoRR Chuyang Ke, Jean Honorio
2020	J	`jnl`	Exact Support Recovery in Federated Regression with One-shot Communication. CoRR Adarsh Barik, Jean Honorio
2020	A*	`conf`	Fairness constraints can help exact inference in structured prediction. NeurIPS Kevin Bello, Jean Honorio
2020	J	`jnl`	Fairness constraints can help exact inference in structured prediction. CoRR Kevin Bello, Jean Honorio
2020	J	`jnl`	First Order Methods take Exponential Time to Converge to Global Minimizers of Non-Convex Functions. CoRR Krishna Reddy Kesari, Jean Honorio
2020	J	`jnl`	Fundamental Limits of Adversarial Learning. CoRR Kevin Bello, Qiuling Xu, Jean Honorio
2020	J	`jnl`	Information Theoretic Sample Complexity Lower Bound for Feed-Forward Fully-Connected Deep Networks. CoRR Xiaochen Yang, Jean Honorio
2020	J	`jnl`	Information-Theoretic Lower Bounds for Zero-Order Stochastic Gradient Estimation. CoRR Abdulrahman Alabdulkareem, Jean Honorio
2020	A	`conf`	Minimax Bounds for Structured Prediction Based on Factor Graphs. AISTATS Kevin Bello, Asish Ghoshal, Jean Honorio
2020	J	`jnl`	Novel Change of Measure Inequalities and PAC-Bayesian Bounds. CoRR Yuki Ohnishi, Jean Honorio
2020	J	`jnl`	PrivSyn: Differentially Private Data Synthesis. CoRR Zhikun Zhang, Tianhao Wang, Ninghui Li, Jean Honorio, Michael Backes, Shibo He, Jiming Chen, Yang Zhang
2020	B	`conf`	Provable Efficient Skeleton Learning of Encodable Discrete Bayes Nets in Poly-Time and Sample Complexity. ISIT Adarsh Bank, Jean Honorio
2020	J	`jnl`	Provable Sample Complexity Guarantees for Learning of Continuous-Action Graphical Games with Nonparametric Utilities. CoRR Adarsh Barik, Jean Honorio
2020	J	`jnl`	Support Union Recovery in Meta Learning of Gaussian Graphical Models. CoRR Qian Zhang, Yilin Zheng, Jean Honorio
2020	J	`jnl`	The Sample Complexity of Meta Sparse Regression. CoRR Zhanyu Wang, Jean Honorio
2019	B	`conf`	Cost-Aware Learning for Improved Identifiability with Multiple Experiments. ISIT Longyun Guo, Jean Honorio, John Morgan
2019	J	`jnl`	Exact Partitioning of High-order Models with a Novel Convex Tensor Cone Relaxation. CoRR Chuyang Ke, Jean Honorio
2019	J	`jnl`	Exact Recovery in the Latent Space Model. CoRR Chuyang Ke, Jean Honorio
2019	A*	`conf`	Exact inference in structured prediction. NeurIPS Kevin Bello, Jean Honorio
2019	J	`jnl`	Exact inference in structured prediction. CoRR Kevin Bello, Jean Honorio
2019	A*	`conf`	Learning Bayesian Networks with Low Rank Conditional Probability Tables. NeurIPS Adarsh Barik, Jean Honorio
2019	J	`jnl`	Learning Bayesian Networks with Low Rank Conditional Probability Tables. CoRR Adarsh Barik, Jean Honorio
2019	J	`jnl`	Minimax bounds for structured prediction. CoRR Kevin Bello, Asish Ghoshal, Jean Honorio
2019	A*	`conf`	On the Correctness and Sample Complexity of Inverse Reinforcement Learning. NeurIPS Abi Komanduru, Jean Honorio
2019	J	`jnl`	On the Correctness and Sample Complexity of Inverse Reinforcement Learning. CoRR Abi Komanduru, Jean Honorio
2019	J	`jnl`	On the Statistical Efficiency of Optimal Kernel Sum Classifiers. CoRR Raphael Arkady Meyer, Jean Honorio
2019	A*	`conf`	Optimality Implies Kernel Sum Classifiers are Statistically Efficient. ICML Raphael A. Meyer, Jean Honorio
2019	J	`jnl`	Provable Computational and Statistical Guarantees for Efficient Learning of Continuous-Action Graphical Games. CoRR Adarsh Barik, Jean Honorio
2019	—	`conf`	Reconstructing a Bounded-Degree Directed Tree Using Path Queries. Allerton Zhaosen Wang, Jean Honorio
2018	A*	`conf`	Computationally and statistically efficient learning of causal Bayes nets using path queries. NeurIPS Kevin Bello, Jean Honorio
2018	J	`jnl`	Information Theoretic Limits for Standard and One-Bit Compressed Sensing with Graph-Structured Sparsity. CoRR Adarsh Barik, Jean Honorio
2018	A*	`conf`	Information-theoretic Limits for Community Detection in Network Models. NeurIPS Chuyang Ke, Jean Honorio
2018	J	`jnl`	Information-theoretic Limits for Community Detection in Network Models. CoRR Chuyang Ke, Jean Honorio
2018	J	`jnl`	Learning Binary Bayesian Networks in Polynomial Time and Sample Complexity. CoRR Adarsh Barik, Jean Honorio
2018	A*	`conf`	Learning Maximum-A-Posteriori Perturbation Models for Structured Prediction in Polynomial Time. ICML Asish Ghoshal, Jean Honorio
2018	J	`jnl`	Learning Maximum-A-Posteriori Perturbation Models for Structured Prediction in Polynomial Time. CoRR Asish Ghoshal, Jean Honorio
2018	A	`conf`	Learning Sparse Polymatrix Games in Polynomial Time and Sample Complexity. AISTATS Asish Ghoshal, Jean Honorio
2018	A*	`conf`	Learning latent variable structured prediction models with Gaussian perturbations. NeurIPS Kevin Bello, Jean Honorio
2018	J	`jnl`	Learning latent variable structured prediction models with Gaussian perturbations. CoRR Kevin Bello, Jean Honorio
2018	A	`conf`	Learning linear structural equation models in polynomial time and sample complexity. AISTATS Asish Ghoshal, Jean Honorio
2018	J	`jnl`	On the Sample Complexity of Learning from a Sequence of Experiments. CoRR Longyun Guo, Jean Honorio, John Morgan
2018	A	`conf`	On the Statistical Efficiency of Compositional Nonparametric Prediction. AISTATS Yixi Xu, Jean Honorio, Xiao Wang
2018	J	`jnl`	Regularized Loss Minimizers with Local Data Obfuscation. CoRR Zitao Li, Jean Honorio
2018	—	`conf`	Statistically and Computationally Efficient Variance Estimator for Kernel Ridge Regression. Allerton Meimei Liu, Jean Honorio, Guang Cheng
2018	J	`jnl`	Statistically and Computationally Efficient Variance Estimator for Kernel Ridge Regression. CoRR Meimei Liu, Jean Honorio, Guang Cheng
2017	J	`jnl`	Information Theoretic Limits for Linear Prediction with Graph-Structured Sparsity. CoRR Adarsh Barik, Jean Honorio, Mohit Tawarmalani
2017	B	`conf`	Information theoretic limits for linear prediction with graph-structured sparsity. ISIT Adarsh Barik, Jean Honorio, Mohit Tawarmalani
2017	A	`conf`	Information-theoretic limits of Bayesian network structure learning. AISTATS Asish Ghoshal, Jean Honorio
2017	J	`jnl`	Learning Bayes networks using interventional path queries in polynomial time and sample complexity. CoRR Kevin Bello, Jean Honorio
2017	A	`conf`	Learning Graphical Games from Behavioral Data: Sufficient and Necessary Conditions. AISTATS Asish Ghoshal, Jean Honorio
2017	J	`jnl`	Learning Graphical Games from Behavioral Data: Sufficient and Necessary Conditions. CoRR Asish Ghoshal, Jean Honorio
2017	—	`conf`	Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity. NIPS Asish Ghoshal, Jean Honorio
2017	J	`jnl`	Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity. CoRR Asish Ghoshal, Jean Honorio
2017	J	`jnl`	Learning Sparse Potential Games in Polynomial Time and Sample Complexity. CoRR Asish Ghoshal, Jean Honorio
2017	J	`jnl`	Learning linear structural equation models in polynomial time and sample complexity. CoRR Asish Ghoshal, Jean Honorio
2017	—	`conf`	On the sample complexity of learning graphical games. Allerton Jean Honorio
2017	J	`jnl`	Statistical Efficiency of Compositional Nonparametric Prediction. CoRR Yixi Xu, Jean Honorio, Xiao Wang
2016	J	`jnl`	From Behavior to Sparse Graphical Games: Efficient Recovery of Equilibria. CoRR Asish Ghoshal, Jean Honorio
2016	—	`conf`	From behavior to sparse graphical games: Efficient recovery of equilibria. Allerton Asish Ghoshal, Jean Honorio
2016	J	`jnl`	Information-Theoretic Lower Bounds for Recovery of Diffusion Network Structures. CoRR Keehwan Park, Jean Honorio
2016	B	`conf`	Information-theoretic lower bounds for recovery of diffusion network structures. ISIT Keehwan Park, Jean Honorio
2016	J	`jnl`	Information-theoretic lower bounds on learning the structure of Bayesian networks. CoRR Asish Ghoshal, Jean Honorio
2016	J	`jnl`	On the Sample Complexity of Learning Sparse Graphical Games. CoRR Jean Honorio
2016	J	`jnl`	Reconstructing a Bounded-Degree Directed Tree Using Path Queries. CoRR Zhaosen Wang, Jean Honorio
2016	A	`conf`	Structured Prediction: From Gaussian Perturbations to Linear-Time Principled Algorithms. UAI Jean Honorio, Tommi S. Jaakkola
2015	J	`jnl`	Learning the structure and parameters of large-population graphical games from behavioral data. J. Mach. Learn. Res. Jean Honorio, Luis E. Ortiz
2015	J	`jnl`	Predictive sparse modeling of fMRI data for improved classification, regression, and visualization using the k-support norm. Comput. Medical Imaging Graph. Eugene Belilovsky, Katerina Gkirtzou, Michail Misyrlis, Anna B. Konova, Jean Honorio, Nelly Alia-Klein, Rita Z. Goldstein, Dimitris Samaras, Matthew B. Blaschko
2015	J	`jnl`	Structured Prediction: From Gaussian Perturbations to Linear-Time Principled Algorithms. CoRR Jean Honorio, Tommi S. Jaakkola
2014	A*	`conf`	A Unified Framework for Consistency of Regularized Loss Minimizers. ICML Jean Honorio, Tommi S. Jaakkola
2014	A	`conf`	Tight Bounds for the Expected Risk of Linear Classifiers and PAC-Bayes Finite-Sample Guarantees. AISTATS Jean Honorio, Tommi S. Jaakkola
2013	—	`conf`	FMRI analysis of cocaine addiction using k-support sparsity. ISBI Katerina Gkirtzou, Jean Honorio, Dimitris Samaras, Rita Z. Goldstein, Matthew B. Blaschko
2013	A	`conf`	Inverse Covariance Estimation for High-Dimensional Data in Linear Time and Space: Spectral Methods for Riccati and Sparse Models. UAI Jean Honorio, Tommi S. Jaakkola
2013	J	`jnl`	Inverse Covariance Estimation for High-Dimensional Data in Linear Time and Space: Spectral Methods for Riccati and Sparse Models. CoRR Jean Honorio, Tommi S. Jaakkola
2013	—	`conf`	Two-Sided Exponential Concentration Bounds for Bayes Error Rate and Shannon Entropy. ICML (3) Jean Honorio, Tommi S. Jaakkola
2013	—	`conf`	fMRI Analysis with Sparse Weisfeiler-Lehman Graph Statistics. MLMI Katerina Gkirtzou, Jean Honorio, Dimitris Samaras, Rita Z. Goldstein, Matthew B. Blaschko
2012	J	`jnl`	Can a Single Brain Region Predict a Disorder? IEEE Trans. Medical Imaging Jean Honorio, Dardo Tomasi, Rita Z. Goldstein, Hoi-Chung Leung, Dimitris Samaras
2012	J	`jnl`	Convergence Rates of Biased Stochastic Optimization for Learning Sparse Ising Models CoRR Jean Honorio
2012	A*	`conf`	Convergence Rates of Biased Stochastic Optimization for Learning Sparse Ising Models. ICML Jean Honorio
2012	J	`jnl`	Learning the Structure and Parameters of Large-Population Graphical Games from Behavioral Data CoRR Jean Honorio, Luis E. Ortiz
2012	J	`jnl`	Lipschitz Parametrization of Probabilistic Graphical Models CoRR Jean Honorio
2012	J	`jnl`	Simultaneous and Group-Sparse Multi-Task Learning of Gaussian Graphical Models CoRR Jean Honorio, Dimitris Samaras
2012	—	`conf`	Two-person interaction detection using body-pose features and multiple instance learning. CVPR Workshops Kiwon Yun, Jean Honorio, Debaleena Chattopadhyay, Tamara L. Berg, Dimitris Samaras
2012	A	`conf`	Variable Selection for Gaussian Graphical Models. AISTATS Jean Honorio, Dimitris Samaras, Irina Rish, Guillermo A. Cecchi
2011	J	`jnl`	Digital Analysis and Visualization of Swimming Motion. Int. J. Virtual Real. Can Kirmizibayrak, Jean Honorio, Xiaolong Jiang, Mark Russell, James K. Hahn
2011	A	`conf`	Lipschitz Parametrization of Probabilistic Graphical Models. UAI Jean Honorio
2010	A*	`conf`	Multi-Task Learning of Gaussian Graphical Models. ICML Jean Honorio, Dimitris Samaras
2010	—	`conf`	Simple fully automated group classification on brain FMRI. ISBI Jean Honorio, Dimitris Samaras, Dardo Tomasi, Rita Z. Goldstein
2009	—	`conf`	Sparse and Locally Constant Gaussian Graphical Models. NIPS Jean Honorio, Luis E. Ortiz, Dimitris Samaras, Nikos Paragios, Rita Z. Goldstein
2008	—	`conf`	Task-Specific Functional Brain Geometry from Model Maps. MICCAI (1) Georg Langs, Dimitris Samaras, Nikos Paragios, Jean Honorio, Nelly Alia-Klein, Dardo Tomasi, Nora D. Volkow, Rita Z. Goldstein