Feb 7, 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!
