ARC-TRIAD fellowship winners for Spring 2020

The Algorithms and Randomness Center (ARC) and Transdisciplinary Research Institute for Advancing Data Science (TRIAD) are pleased to announce the 10 ARC-TRIAD fellowship receipients for the Spring 2020 semester:

    Timothy Duff (ACO, Math), Challenges in computational algebraic vision.

    Haoming Jiang (ML ISyE), Nonparametric Regression on Low Dimensional Manifolds using Neural Networks.

    Aditi Laddha (ACO CS), Better Approximation for Uniform Sparsest Cut.

    Jiaming Liang (OR ISyE), First-Order Methods for Nonconvex Smooth Composite Optimization Problems.

    Yuliia Lut (IE, IsyE) Improving accuracy for dynamic differential privacy with change-point detection.

    Andrew McRae (ECE), Exploiting low-dimensional manifold structure with kernel methods.

    Shengding Sun (ACO Math), Sparse positive semidefinite relaxations with S^{n,k}.

    Mohamed El Tonbari (OR, ISyE), On Two-Stage Distributionally Robust Optimization with Binary Variables.

    Liyan Xie (IE, ISyE), Distributionally Robust Nonparametric Hypothesis Testing.

    Yujie Zhao (Statistics ISyE)), Homotopic Methods can Significantly Speed up the Computation of the Non-differential Optimization Problems.

    The selection committee comprised of Rachel Cummings, Xiaoming Huo,  Debankur Mukherjee, Richard Peng, Mohit Singh, Prasad Tetali, Santosh Vempala, Yao Xie, and Josephine Yu.