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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
432022
Computationally and statistically efficient learning of causal Bayes nets using path queries
K Bello, J Honorio
Advances in Neural Information Processing Systems 31, 2018
20*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
13*2021
Exact inference in structured prediction
K Bello, J Honorio
Advances in Neural Information Processing Systems 32, 2019
92019
Optimizing NOTEARS objectives via topological swaps
C Deng, K Bello, B Aragam, PK Ravikumar
International Conference on Machine Learning, 7563-7595, 2023
72023
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
7*2021
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
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
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
STRUCTURED PREDICTION: STATISTICAL AND COMPUTATIONAL GUARANTEES IN LEARNING AND INFERENCE
KS Bello
Purdue University Graduate School, 2021
2021
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