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Kevin Bello
Kevin Bello
Carnegie Mellon University / University of Chicago
Verified email at cs.cmu.edu - Homepage
Title
Cited by
Cited by
Year
DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization
K Bello, B Aragam, P Ravikumar
Advances in Neural Information Processing Systems 35, 2022
482022
Computationally and statistically efficient learning of causal Bayes nets using path queries
K Bello, J Honorio
Advances in Neural Information Processing Systems 31, 2018
21*2018
Direct Learning with Guarantees of the Difference DAG Between Structural Equation Models
A Ghoshal, K Bello, J Honorio
arXiv preprint arXiv:1906.12024, 2021
14*2021
Optimizing NOTEARS objectives via topological swaps
C Deng, K Bello, B Aragam, PK Ravikumar
International Conference on Machine Learning, 7563-7595, 2023
102023
Inverse reinforcement learning in a continuous state space with formal guarantees
G Dexter, K Bello, J Honorio
Advances in Neural Information Processing Systems 34, 6972-6982, 2021
102021
Exact inference in structured prediction
K Bello, J Honorio
Advances in Neural Information Processing Systems 32, 2019
92019
Improving topic coherence using entity extraction denoising
R Cardenas, K Bello, A Coronado, E Villota
The Prague Bulletin of Mathematical Linguistics 110 (1), 85-101, 2018
62018
Fairness constraints can help exact inference in structured prediction
K Bello, J Honorio
Advances in Neural Information Processing Systems 33, 11322-11332, 2020
52020
Learning latent variable structured prediction models with Gaussian perturbations
K Bello, J Honorio
Advances in Neural Information Processing Systems 31, 2018
52018
Minimax bounds for structured prediction based on factor graphs
K Bello, A Ghoshal, J Honorio
International Conference on Artificial Intelligence and Statistics, 213-222, 2020
42020
A View of Exact Inference in Graphs from the Degree-4 Sum-of-Squares Hierarchy
K Bello, C Ke, J Honorio
International Conference on Artificial Intelligence and Statistics, 640-654, 2022
3*2022
A le cam type bound for adversarial learning and applications
Q Xu, K Bello, J Honorio
2021 IEEE International Symposium on Information Theory (ISIT), 1164-1169, 2021
32021
Global Optimality in Bivariate Gradient-based DAG Learning
C Deng, K Bello, P Ravikumar, B Aragam
Advances in Neural Information Processing Systems 36, 2023
22023
Análisis del mercado laboral peruano para las ramas de ingeniería mecánica e ingeniería eléctrica
KS Bello, RA Cárdenas, AR Valle, ER Villota, AM Coronado
XXI CONIMERA, 2015
22015
Labor market demand analysis for engineering majors in Peru using Shallow Parsing and Topic Modeling
R Cardenas, K Bello, A Coronado, E Villota
Machine Learning Summer School. Japan, 2015
22015
Discovering the effective connectome of the brain with dynamic Bayesian DAG learning
A Bagheri, M Pasande, K Bello, BN Araabi, A Akhondi-Asl
NeuroImage, 120684, 2024
2024
Identifying Causal Changes Between Linear Structural Equation Models
V Malik, K Bello, A Ghoshal, J Honorio
The 40th Conference on Uncertainty in Artificial Intelligence, 2024
2024
Bayesian Dynamic DAG Learning: Application in Discovering Dynamic Effective Connectome of Brain
A Bagheri, M Pasande, K Bello, A Akhondi-Asl, BN Araabi
arXiv preprint arXiv:2309.07080, 2023
2023
iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models
T Chen, K Bello, B Aragam, P Ravikumar
Advances in Neural Information Processing Systems 36, 2023
2023
On the Fundamental Limits of Exact Inference in Structured Prediction
H Lee, K Bello, J Honorio
2022 IEEE International Symposium on Information Theory (ISIT), 3174-3179, 2022
2022
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