Biography

I'm a PhD candidate and Vanier Scholar at the University of Toronto Department of Statistical Sciences working with professors Jeffrey Rosenthal and Daniel Roy on computational statistics and machine learning.

Interests

  • Computational Statistics
  • Statistical Learning Theory
  • Applied Probability
  • Stochastic Analysis
  • Markov Chains

Education

  • PhD in Statistical Sciences, (Ongoing)

    University of Toronto

  • MSc in Statistical Sciences, 2017

    University of Toronto

  • BMath Mathematical Finance, 2014

    University of Waterloo

Publications

Jeffrey Negrea, Mahdi Haghifam, Gintare Karolina Dziugaite, Ashish Khisti, Daniel M Roy (2019). Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates. Advances in Neural Information Processing Systems 32.

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Preprints

Jeffrey Negrea, Karolina Gintare Dziugaite, Daniel M. Roy (2019). In Defense of Uniform Convergence: Generalization via derandomization with an application to interpolating predictors.

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Jeffrey Negrea (2019). Optimal Scaling and Shaping of Random Walk Metropolis via Diffusion Limits of Block-IID Targets.

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Jeffrey Negrea, Jeffrey S. Rosenthal (2017). Approximations of Geometrically Ergodic Markov Chains .

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