Cyrus Cousins


About Me

A photograph of a handsome bespectacled man with a mischievous smile

I am Cyrus Cousins, a recent Ph.D. graduate of Brown University in the BIGDATA group, under the tutelage of the great Eli Upfal. Before coming to Brown, I received my undergraduate degree in computer science, mathematics, and biology from Tufts University. My research interests lie primarily in showing novel techniques to bound uniform convergence rates and generalization error in exotic settings, and applying these bounds to tasks of real-world interest, most notably in data science, empirical game theory, and fair machine learning.

My favorite theorem is the Dvoretzky-Kiefer-Wolfowitz inequality, and my favorite algorithm is simulated annealing.

Curriculum Vitae

Find my Work

  1. DBLP
  2. Google Scholar
  3. ArXiv

Major Projects

  1. Making mean-estimation more efficient using an MCMC trace variance approach: DynaMITE
  2. Sharp Uniform Convergence Bounds through Empirical Centralization
  3. CADET: Interpretable Parametric Conditional Density Estimation with Decision Trees and Forests
  4. My thesis proposal: Novel Concentration of Measure Bounds with Applications to Fairness in Machine Learning
  5. My full thesis: Bounds and Applications of Concentration of Measure in Fair Machine Learning and Data Science

Contact

ccousins at cs.brown.edu

Cyrus Cousins
Box 1910, Computer Science Department
Brown University
Providence, RI 02912
401-863-7600

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