Kevin Bello

36 papers A* 11A 4B 2Journal 19
YearRankTypeTitle / Venue / Authors
2025 A conf
Towards Fair Graph Learning without Demographic Information.
AISTATS
Zichong Wang, Nhat Hoang, Xingyu Zhang, Kevin Bello, Xiangliang Zhang, Sundararaja Sitharama Iyengar, Wenbin Zhang
2024 J jnl
C2P: Featuring Large Language Models with Causal Reasoning.
CoRR
Abdolmahdi Bagheri, Matin Alinejad, Kevin Bello, Alireza Akhondi Asl
2024 J jnl
Discovering the effective connectome of the brain with dynamic Bayesian DAG learning.
NeuroImage
Abdolmahdi Bagheri, Mohammad Pasande, Kevin Bello, Babak Nadjar Araabi, Alireza Akhondi Asl
2024 A conf
Identifying Causal Changes Between Linear Structural Equation Models.
UAI
Vineet Malik, Kevin Bello, Asish Ghoshal, Jean Honorio
2024 A* conf
Identifying General Mechanism Shifts in Linear Causal Representations.
NeurIPS
Tianyu Chen, Kevin Bello, Francesco Locatello, Bryon Aragam, Pradeep Ravikumar
2024 J jnl
Identifying General Mechanism Shifts in Linear Causal Representations.
CoRR
Tianyu Chen, Kevin Bello, Francesco Locatello, Bryon Aragam, Pradeep Ravikumar
2024 J jnl
Likelihood-based Differentiable Structure Learning.
CoRR
Chang Deng, Kevin Bello, Pradeep Ravikumar, Bryon Aragam
2024 A* conf
Markov Equivalence and Consistency in Differentiable Structure Learning.
NeurIPS
Chang Deng, Kevin Bello, Pradeep Ravikumar, Bryon Aragam
2023 J jnl
Bayesian Dynamic DAG Learning: Application in Discovering Dynamic Effective Connectome of Brain.
CoRR
Abdolmahdi Bagheri, Mohammad Pasande, Kevin Bello, Alireza Akhondi Asl, Babak Nadjar Araabi
2023 A* conf
Global Optimality in Bivariate Gradient-based DAG Learning.
NeurIPS
Chang Deng, Kevin Bello, Pradeep Ravikumar, Bryon Aragam
2023 J jnl
Global Optimality in Bivariate Gradient-based DAG Learning.
CoRR
Chang Deng, Kevin Bello, Bryon Aragam, Pradeep Ravikumar
2023 A* conf
Optimizing NOTEARS Objectives via Topological Swaps.
ICML
Chang Deng, Kevin Bello, Bryon Aragam, Pradeep Kumar Ravikumar
2023 J jnl
Optimizing NOTEARS Objectives via Topological Swaps.
CoRR
Chang Deng, Kevin Bello, Bryon Aragam, Pradeep Ravikumar
2023 A* conf
iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models.
NeurIPS
Tianyu Chen, Kevin Bello, Bryon Aragam, Pradeep Ravikumar
2023 J jnl
iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models.
CoRR
Tianyu Chen, Kevin Bello, Bryon Aragam, Pradeep Ravikumar
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 A* conf
DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization.
NeurIPS
Kevin Bello, Bryon Aragam, Pradeep Ravikumar
2022 J jnl
DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization.
CoRR
Kevin Bello, Bryon Aragam, Pradeep Ravikumar
2022 B conf
On the Fundamental Limits of Exact Inference in Structured Prediction.
ISIT
Hanbyul Lee, Kevin Bello, Jean Honorio
2021 B conf
A Le Cam Type Bound for Adversarial Learning and Applications.
ISIT
Qiuling Xu, Kevin Bello, 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
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 J jnl
On the Fundamental Limits of Exact Inference in Structured Prediction.
CoRR
Hanbyul Lee, Kevin Bello, 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
Fundamental Limits of Adversarial Learning.
CoRR
Kevin Bello, Qiuling Xu, Jean Honorio
2020 A conf
Minimax Bounds for Structured Prediction Based on Factor Graphs.
AISTATS
Kevin Bello, Asish Ghoshal, 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 J jnl
Minimax bounds for structured prediction.
CoRR
Kevin Bello, Asish Ghoshal, 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
Improving Topic Coherence Using Entity Extraction Denoising.
Prague Bull. Math. Linguistics
Ronald Cardenas, Kevin Bello, Alberto Coronado, Elizabeth Villota
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
2017 J jnl
Learning Bayes networks using interventional path queries in polynomial time and sample complexity.
CoRR
Kevin Bello, Jean Honorio