Jean Honorio
42 papers · 2009–2026 · 8 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 14 separate collaboration groups - the largest holds only 43% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Jean Honorio?
5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Asish Ghoshal, Kevin Bello, Chuyang Ke
18 papers
· 2017–2024
· AISTATS, NeurIPS, ICML
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Identifying Causal Changes Between Linear Structural Equation Models
UAI 2024
Exact Inference in High-order Structured Prediction
ICML 2023
A View of Exact Inference in Graphs from the Degree-4 Sum-of-Squares Hierarchy
AISTATS 2022
Exact Partitioning of High-order Models with a Novel Convex Tensor Cone Relaxation
JMLR 2022
Federated Myopic Community Detection with One-shot Communication
AISTATS 2022
Inverse Reinforcement Learning in a Continuous State Space with Formal Guarantees
NeurIPS 2021
Fairness constraints can help exact inference in structured prediction
NeurIPS 2020
Minimax Bounds for Structured Prediction Based on Factor Graphs
AISTATS 2020
Exact inference in structured prediction
NeurIPS 2019
Computationally and statistically efficient learning of causal Bayes nets using path queries
NeurIPS 2018
Information-theoretic Limits for Community Detection in Network Models
NeurIPS 2018
Learning Maximum-A-Posteriori Perturbation Models for Structured Prediction in Polynomial Time
ICML 2018
Learning Sparse Polymatrix Games in Polynomial Time and Sample Complexity
AISTATS 2018
Learning latent variable structured prediction models with Gaussian perturbations
NeurIPS 2018
Learning linear structural equation models in polynomial time and sample complexity
AISTATS 2018
Information-theoretic limits of Bayesian network structure learning
AISTATS 2017
Learning Graphical Games from Behavioral Data: Sufficient and Necessary Conditions
AISTATS 2017
Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity
NeurIPS 2017
9 papers whose co-authors appear nowhere else under this name
MEDIC: Remove Model Backdoors via Importance Driven Cloning
CVPR 2023
Meta Learning for Support Recovery in High-dimensional Precision Matrix Estimation
ICML 2021
Novel Change of Measure Inequalities with Applications to PAC-Bayesian Bounds and Monte Carlo Estimation
AISTATS 2021
Randomized Deep Structured Prediction for Discourse-Level Processing
EACL 2021
The Sample Complexity of Meta Sparse Regression
AISTATS 2021
Optimality Implies Kernel Sum Classifiers are Statistically Efficient
ICML 2019
On the Statistical Efficiency of Compositional Nonparametric Prediction
AISTATS 2018
Learning the Structure and Parameters of Large-Population Graphical Games from Behavioral Data
JMLR 2015
Two-Sided Exponential Concentration Bounds for Bayes Error Rate and Shannon Entropy
ICML 2013