Research Interests

Broadly, the topics I'm interested in include, but are not limited to

  • Monte Carlo Methods
  • Statistical Learning Theory
  • Bayesian Inference
  • Reinforcement Learning
  • Probability Theory
  • Research Works

    Below you will find a list of research work completed as of October 20th

    Pending Submission

    Negrea, J., & Rosenthal, J. S. (2017). Error Bounds for Approximations of Geometrically Ergodic Markov Chains. arXiv preprint arXiv:1702.07441.

    Course Projects

    Negrea, J., & Gao, Y. (2017). Saddle-Corrected Naïve Krylov Subspace Method. Course project for CSC 2506. Available Online.

    Negrea, J., & Duvenaud, D. (2016). A Bayesian Approach to Intrinsically Motivated Reinforcement Learning. Course project for CSC 2541. Available Online.