Me

Kevin S. Bello

Department of Computer Science
Purdue University
Office: Lawson Building 2149 #29
Email: kbellome at purdue . edu

About Me

I am a PhD student in the Department of Computer Science at Purdue University, working with Prof. Jean Honorio. I am broadly interested in Artificial Intelligence and Machine Learning. My research focuses on developing algorithms that are computationally and statistically efficient for various machine learning problems. Recently, I have worked on structured prediction problems with latent variables.

Previously, I received a BSc in Mechatronics Engineering from the National University of Engineering in Lima, Peru where I was advised by Alberto Coronado.


News

09/2018: Two papers accepted at NIPS 2018, the premier conference on machine learning.


Publications

Peer-reviewed Conferences

2018

  • Learning Latent Variable Structured Prediction Models with Gaussian Perturbations. [Arxiv]
    K. Bello, J. Honorio
    NIPS'18. In Proceedings of the 32nd Annual Conference on Neural Information Processing Systems, 2018.
  • Computationally and Statistically Efficient Learning of Bayes Nets Using Path Queries. [Arxiv]
    K. Bello, J. Honorio
    NIPS'18. In Proceedings of the 32nd Annual Conference on Neural Information Processing Systems, 2018.

Presentations

Posters

2015

  • Labor Market Demand Analysis for Engineering Majors in Peru Using Shallow Parsing and Topic Modeling
    R. Cardenas, K. Bello
    MLSS'15. In Machine Learning Summer School, Poster Session, Kyoto, Japan.