• Building predictive models via feature synthesis, Ignacio Arnaldo, Kalyan Veeramachaneni, Una-May O'Reilly, GECCO '15, pp TBD.
  • Bring Your Own Learner! A cloud-based, data-parallel commons for machine learning, Ignacio Arnaldo, Kalyan Veeramachaneni, Andrew Song, Una-May O'Reilly. To appear in IEEE Computational Intelligence Magazine. Special Issue on Computational Intelligence for Cloud Computing (Feb. 2015).
  • FlexGP: Cloud-Based Ensemble Learning with Genetic Programming for Large Regression Problems, Kalyan Veeramachaneni, Ignacio Arnaldo, Owen Derby, Una-May O'Reilly. Journal Of Grid Computing, Nov 2014.
  • Flash: A GP-GPU Ensemble Learning System for handling Large Datasets, Ignacio Arnaldo, Kalyan Veeramachaneni and Una-May O'Reilly, 17th European Conference on Genetic Programming, Springer LNCS 8599, pp 13-24.
  • Multiple regression genetic programming, Ignacio Arnaldo, Krzysztof Krawiec, Una-May O'Reilly, GECCO '14, pp 879--886. Available free from the ACM Digital Library.
  • Cloud Scale Distributed Evolutionary Strategies for High Dimensional Problems, Dennis Wilson, Kalyan Veeramachaneni, and Una-May O'Reilly, EVOPAR track, Applications of Evolutionary Computation, Lecture Notes in Computer Science Volume 7835, 2013, pp 519-528.
  • Cloud Driven Design of a Distributed Genetic Programming Platform, Owen Derby, Kalyan Veeramachaneni, and Una-May O'Reilly, EVOPAR track, Applications of Evolutionary Computation, Lecture Notes in Computer Science Volume 7835, 2013, pp 509-518.
  • Learning regression ensembles with genetic programming at scale, Kalyan Veeramachaneni, Owen Derby, Dylan Sherry, Una-May O'Reilly, GECCO '13, Proceeding of the fifteenth annual conference on Genetic and evolutionary computation conference, 2013
  • Building MultiClass Nonlinear Classifiers with GPUs, Ignacio Arnaldo, Kalyan Veeramachaneni and Una-May O'Reilly, 2014 NIPS Workshop on Big Learning. Workshop papers.
  • D. Sherry, K. Veeramachaneni, J. McDermott, and U.M. O'Reilly. Flex- GP: Genetic programming on the cloud. In EvoApplications 2012, LNCS, Vol. 7248, pp. 477-486, Springer Verlag, 11-13 April 2012. (It was awarded Best Paper.)
Thesis:

  • FlexGP 2.0: Multiple Levels of Parallelism in Distributed Machine Learning via Genetic Programming. Dylan Sherry, M.Eng, thesis, MIT Dept of EECS, 2013.
    Advisors: Kalyan Veeramachaneni, Una-May O'Reilly.
  • FlexGP: A Scalable System for Factored Learning in the Cloud, Owen Derby, M.Eng, thesis, MIT Dept of EECS, 2013. (Winner of 2nd Prize in EECS Department)
    Advisors: Kalyan Veeramachaneni, Una-May O'Reilly.
FlexGP is a project of ALFA at CSAIL, MIT.