no code implementations • 3 Feb 2023 • Gang Qiao, Ambuj Tewari
This work studies the pure-exploration setting for the convex hull membership (CHM) problem where one aims to efficiently and accurately determine if a given point lies in the convex hull of means of a finite set of distributions.
no code implementations • 22 Nov 2022 • Wenxuan Chen, Jun Tao, Lu Ma, Gang Qiao
Accurate channel estimation is critical to the performance of orthogonal frequency-division multiplexing (OFDM) underwater acoustic (UWA) communications, especially under multiple-input multiple-output (MIMO) scenarios.
no code implementations • 2 Nov 2022 • Gang Qiao, Kaidong Hu, Seonghyeon Moon, Samuel S. Sohn, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic
Learning-based approaches to modeling crowd motion have become increasingly successful but require training and evaluation on large datasets, coupled with complex model selection and parameter tuning.
no code implementations • 18 May 2021 • Gang Qiao, Weijie J. Su, Li Zhang
Being able to efficiently and accurately select the top-$k$ elements with differential privacy is an integral component of various private data analysis tasks.