Zelda Mariet

About me

I am a fourth-year PhD student at MIT, working with Suvrit Sra. I'm also a member of MIT's Learning and Intelligent Systems Group and Machine Learning Group. My research focuses on mathematical analysis of machine learning techniques and non-convex optimization. My interests also include topology, physical cosmology and linguistics.


Recent News

  • [Fall 2017] I'll be presenting my work on new models for optimal design at NIPS 2017.

  • [Fall 2017] I'm a recipient of the Criteo Faculty Research Award Program!

  • [Summer 2017] I interned in Google's Research and Machine Intelligence team, with Vitaly Kuznetsov.


Publications

  • Elementary Symmetric Polynomials for Optimal Experimental Design, Zelda Mariet, Suvrit Sra
    Advances in Neural Information Processing Systems (NIPS 2017) [arXiv]
  • Kronecker Determinantal Point Processes, Zelda Mariet, Suvrit Sra
    Advances in Neural Information Processing Systems (NIPS 2016) [PDF] [arXiv] [Bibtex]
  • Learning and enforcing diversity with Determinantal Point Processes, Zelda Mariet
    S.M. Thesis [PDF]
  • Diversity Networks: Neural Network Compression Using Determinantal Point Processes, Zelda Mariet, Suvrit Sra
    International Conference on Learning Representations (ICLR 2016) [arXiv] [Bibtex]
  • Outlier Detection in Heterogeneous Datasets using Automatic Tuple Expansion, C. Pit--Claudel, Z. Mariet, R. Harding, S. Madden
    Technical Report, 2016 [PDF] [Bibtex]
  • Fixed-point algorithms for learning determinantal point processes, Zelda Mariet, Suvrit Sra
    International Conference on Machine Learning (ICML 2015) [PDF] [arXiv] [Bibtex]