Teresa Yeo

Machine Learning Person

Hello!
I am a third year PhD student at the VIL lab, EPFL supervised by Amir Zamir and Pierre Dillenbourg. My research now is on the intersection of computer vision and machine learning. I am also interested in the theory and methods for algorithmic teaching and inverse reinforcement learning.

I am a byproduct of the Singapore education system and completed my undergrad at the National University of Singapore in the Mathematics department. I went on to do my Master in Financial Engineering at Columbia University and became a quantitve analyst working on systematic strategies for equity portfolios. I returned to school in 2015, to do a Master in Machine Learning at Cambridge University.

Publications.

Robust Learning Through Cross-Task Consistency

Zamir, A.*, Sax, A.*, Yeo, T., Kar O., Cheerla, N., Suri, R., Cao, Z., Malik, J., Guibas, L., Arxiv 2020

Given an arbitrary dictionary of tasks, augment the learning objective with constraints for cross-task consistency.

Paper     Website     Code

Iterative Classroom Teaching

Yeo, T., Kamalaruban, P., Singla, A., Merchant, A., Asselborn, T., Faucon, L., Dillenbourg, P., Cevher, V, AAAI'19 (Oral)

Finding the optimal sequence of examples to train a class of linear algorithms with applications to teaching to write and to classify.

Paper

Assisted Inverse Reinforcement Learning

Kamalaruban P., Devidze R., Yeo T., Mittal T., Cevher V., Singla A., NIPS'18 Learning by Instruction Workshop

Finding the optimal sequence of examples to train an Inverse Reinforcement Learning agent.

Paper

Education.

  • 2017-Present

    École Polytechnique Fédérale de Lausanne
    EDIC

    PhD in Machine Learning and Computer Vision

  • 2015-2016

    Cambridge University,
    Information Engineering Division

    MPhil in Machine Learning and Machine Intelligence
    Thesis: Bayesian Optimization for Machine Translation and Natural Language Processing

  • 2011-2012

    Columbia Univerity,
    Industrial Engineering and Operations Research Department

    MSc in Financial Engineering

  • 2007-2011

    National Univeristy of Singapore,
    Mathematics Department

    BSc (Hons) in Quantitative Finance
    Thesis: High Order Numerical Methods for Solving PDE with Optimal Stopping Times

Experience.

Contact.

first.lastname@epfl.ch
  • Somewhere in INJ, EPFL