Kevin Bello

According to our database, Kevin Bello authored at least 22 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Discovering the effective connectome of the brain with dynamic Bayesian DAG learning.

Abdolmahdi Bagheri, Mohammad Pasande, Kevin Bello, Babak Nadjar Araabi, Alireza Akhondi Asl

NeuroImage, 2024

C2P: Featuring Large Language Models with Causal Reasoning.

Abdolmahdi Bagheri, Matin Alinejad, Kevin Bello, Alireza Akhondi Asl

CoRR, 2024

2023

Bayesian Dynamic DAG Learning: Application in Discovering Dynamic Effective Connectome of Brain.

Abdolmahdi Bagheri, Mohammad Pasande, Kevin Bello, Alireza Akhondi Asl, Babak Nadjar Araabi

CoRR, 2023

Global Optimality in Bivariate Gradient-based DAG Learning.

Chang Deng, Kevin Bello, Pradeep Ravikumar, Bryon Aragam

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models.

Tianyu Chen, Kevin Bello, Bryon Aragam, Pradeep Ravikumar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Optimizing NOTEARS Objectives via Topological Swaps.

Chang Deng, Kevin Bello, Bryon Aragam, Pradeep Kumar Ravikumar

Proceedings of the International Conference on Machine Learning, 2023

2022

DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization.

Kevin Bello, Bryon Aragam, Pradeep Ravikumar

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On the Fundamental Limits of Exact Inference in Structured Prediction.

Hanbyul Lee, Kevin Bello, Jean Honorio

Proceedings of the IEEE International Symposium on Information Theory, 2022

A View of Exact Inference in Graphs from the Degree-4 Sum-of-Squares Hierarchy.

Kevin Bello, Chuyang Ke, Jean Honorio

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.

Kevin Bello, Chuyang Ke, Jean Honorio

CoRR, 2021

Inverse Reinforcement Learning in the Continuous Setting with Formal Guarantees.

Gregory Dexter, Kevin Bello, Jean Honorio

CoRR, 2021

Inverse Reinforcement Learning in a Continuous State Space with Formal Guarantees.

Gregory Dexter, Kevin Bello, Jean Honorio

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Le Cam Type Bound for Adversarial Learning and Applications.

Qiuling Xu, Kevin Bello, Jean Honorio

Proceedings of the IEEE International Symposium on Information Theory, 2021

2020

Fundamental Limits of Adversarial Learning.

Kevin Bello, Qiuling Xu, Jean Honorio

CoRR, 2020

Fairness constraints can help exact inference in structured prediction.

Kevin Bello, Jean Honorio

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Minimax Bounds for Structured Prediction Based on Factor Graphs.

Kevin Bello, Asish Ghoshal, Jean Honorio

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Minimax bounds for structured prediction.

Kevin Bello, Asish Ghoshal, Jean Honorio

CoRR, 2019

Exact inference in structured prediction.

Kevin Bello, Jean Honorio

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Improving Topic Coherence Using Entity Extraction Denoising.

Ronald Cardenas, Kevin Bello, Alberto Coronado, Elizabeth Villota

Prague Bull. Math. Linguistics, 2018

Computationally and statistically efficient learning of causal Bayes nets using path queries.

Kevin Bello, Jean Honorio

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning latent variable structured prediction models with Gaussian perturbations.

Kevin Bello, Jean Honorio

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Learning Bayes networks using interventional path queries in polynomial time and sample complexity.

Kevin Bello, Jean Honorio

CoRR, 2017