Victoria G. Crawford

I have been a PhD student in the Computer and Information Science (CISE) Department at the University of Florida since Fall of 2016. I design and analyze algorithms for submodular optimization problems that arise in machine learning applications. Lately, I have been most interested in developing randomized search algorithms (like evolutionary algorithms) that have proven performance guarantees and perform well in practice.

Before entering the PhD program, I received my BS and MS in Mathematics from the University of Florida in 2012 and 2014 respectively. I worked for a few years as a software developer from 2014 to 2016.

I am funded by the UF Graduate School Fellowship. In addition, I have been funded by the Harris Fellowship from Fall of 2017 through the Summer of 2019.

I am advised by Dr. Meera Sitharam.

  • Contact me at vcrawford01@ufl.edu
  • Download my CV

I have been a PhD student in the Computer and Information Science (CISE) Department at the University of Florida since Fall of 2016. I design and analyze algorithms for submodular optimization problems that arise in machine learning applications. Lately, I have been most interested in developing randomized search algorithms (like evolutionary algorithms) that have proven performance guarantees and perform well in practice.

Before entering the PhD program, I received my BS and MS in Mathematics from the University of Florida in 2012 and 2014 respectively. I worked for a few years as a software developer from 2014 to 2016.

I am funded by the UF Graduate School Fellowship. In addition, I have been funded by the Harris Fellowship from Fall of 2017 through the Summer of 2019.

I am advised by Dr. Meera Sitharam.

  • Contact me at vcrawford01@ufl.edu
  • Download my CV
Preprints
  • Victoria G. Crawford. Streaming Based Bicriteria Approximation Algorithms for Submodular Optimization.
Publications
  • Victoria G. Crawford. Faster Guarantees of Evolutionary Algorithms for Maximization of Monotone Submodular Functions. International Joint Conference on Artifical Intelligence (IJCAI), 2021.
  • Victoria G. Crawford. An Efficient Evolutionary Algorithm for Minimum Cost Submodular Cover. International Joint Conference on Artifical Intelligence (IJCAI), 2019.
  • Victoria G. Crawford, Alan Kuhnle, My T. Thai. Submodular Cost Submodular Cover with an Approximate Oracle. International Conference on Machine Learning (ICML), 2019.
  • Alan Kuhnle, Victoria G. Crawford, My T. Thai. Scalable Approximations to k-Cycle Transversal Problems on Dynamic Networks. Knowledge and Information Systems (KAIS). Springer 2018.
  • Victoria G. Crawford*, Alan Kuhnle*, Christina Boucher, Rayan Chikhi, Travis Gagie. Practical Dynamic De Bruijn Graphs. Bioinformatics, 2018. *These authors contributed equally to this work.
  • Alan Kuhnle, Victoria G. Crawford, My T. Thai. Network Resilience and the Length-Bounded Multicut Problem: Reaching the Dynamic Billion-Scale with Guarantees. Journal Proc. ACM Meas. Anal. Comput. Syst., , 2018.
  • Alan Kuhnle, J. David Smith, Victoria G. Crawford, My T. Thai. Fast Maximization of Non-submodular, Monotonic Functions on the Integer Lattice. International Conference on Machine Learning (ICML), 2018.
  • Victoria G. Crawford, Alan Kuhnle, Md Abdul Alim, My T. Thai. Space-Efficient and Dynamic Caching for D2D Networks of Heterogeneous Users. IEEE International Conference on Mobile Adhoc and Sensor Systems (MASS), 2018.
  • Alan Kuhnle, Victoria G. Crawford, My T. Thai. Network Resilience and the Length-Bounded Multicut Problem: Reaching the Dynamic Billion-Scale with Guarantees. International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS), ACM 2018.
  • Alan Kuhnle, Victoria G. Crawford, My T. Thai. Scalable and Adaptive Algorithms for the Triangle Interdiction Problem on Billion-Scale Networks. International Conference on Data Mining (ICDM), IEEE 2017 (Invited to KAIS Journal Special Issue: ICDM Best Papers)
  • A. Kuhnle, T. Pan, Victoria G. Crawford, M. A. Alim, and My T. Thai. Pseudo-Separation for Assessment of Structural Vulnerability of a Network. ACM SIGMETRICS, Extended abstract, 2017.