Resultado de búsqueda
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. 48. 2022....
Kevin Bello. I am a 2021 Computing Innovation Fellow and postdoctoral researcher in the Machine Learning Department at Carnegie Mellon University and in the Booth School of Business at the University of Chicago . I am fortunate to be co-mentored by Bryon Aragam and Pradeep Ravikumar.
Research Interests. Causal machine learning: Causal discovery and causal representation learning Statistical machine learning: structured prediction, learning theory Convex and non-convex optimization Robustness, interpretability, and fairness Applications in neuroscience, genomics, finance, vision, language. Sept. 2021–.
Introduction. I am a CI Fellow and postdoctoral researcher at The University of Chicago and Carnegie Mellon University. I am broadly interested in Artificial Intelligence and Machine Learning. My...
Postdoctoral Fellow at the University of Chicago & Carnegie Mellon University · Experience: Carnegie Mellon University · Education: Purdue University · Location: San Francisco Bay Area · 127 ...
Global Optimality in Bivariate Gradient-based DAG Learning. Deng, C.; Bello, K.; Aragam, B.; and Ravikumar, P. NeurIPS-23. Advances in Neural Information Processing Systems. 2023. proceedings preprint link bibtex abstract 7 downloads. Optimizing NOTEARS objectives via topological swaps.
2,997 Followers, 353 Following, 35 Posts - Kevin Bello (@kevinbello) on Instagram: "Compositor e intérprete. 🇵🇾 @churchofjesuschrist Noe ️🩹"
