ARC-ACO Fellowship Winners for Spring 2022

The Algorithms and Randomness Center (ARC) and Algorithms Combinatorics and Optimization (ACO) are pleased to announce the following ARC-TRIAD fellowship receipients for the Spring 2022 semester.

Jing Yu (ACO) : Fast Distributed Algorithm Conjecture for Lovasz Local Lemma

Shen Zhang (ML):  Toward optimal multi-agent reinforcement learning: From consensus to policy evaluation

Mirabel Reid (CS): Graph Parameterization in the Assembly Model

Yiling Luo (OR) : Towards Understanding Statistical Properties of Model Parameters in Stochastic First Order Optimization Algorithms

Adam Brown (ACO) : Diverse Subset Selection

Mehrdad Ghadiri (ACO): Tall p-norm Regression in Input Sparsity Time

Qunzhi Xu (OR): Active Sequential Change-Point Detection Under Sampling Control


The selection committee comprised of Greg Blekherman, Debankur Mukherjee, Sahil Singla, Mohit Singh and Santosh Vempala. Congratulations to the winners and look forward to great research from them!