activity
20182026
most citedHigh-Dimensional Smoothed Entropy Estimation via Dimensionality Reduction

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CG2026

Computing the Girth of a Segment Intersection Graph

Timothy M. Chan, Yuancheng Yu

We present an algorithm that computes the girth of the intersection graph of given line segments in the plane in expected time. This is the first such algorithm…

cs.LG2024

Privacy without Noisy Gradients: Slicing Mechanism for Generative Model Training

Kristjan Greenewald, Yuancheng Yu, Hao Wang +1

Training generative models with differential privacy (DP) typically involves injecting noise into gradient updates or adapting the discriminator's training procedure. As a result,…

cs.LG2024

Fair Anomaly Detection For Imbalanced Groups

Ziwei Wu, Lecheng Zheng, Yuancheng Yu +3

Anomaly detection (AD) has been widely studied for decades in many real-world applications, including fraud detection in finance, and intrusion detection for cybersecurity, etc. Du…

cs.IT2023★ 1 cited

High-Dimensional Smoothed Entropy Estimation via Dimensionality Reduction

Kristjan Greenewald, Brian Kingsbury, Yuancheng Yu

We study the problem of overcoming exponential sample complexity in differential entropy estimation under Gaussian convolutions. Specifically, we consider the estimation of the dif…

cs.DS2019

Approximation Algorithms for Min-Distance Problems

Mina Dalirrooyfard, Virginia Vassilevska Williams, Nikhil Vyas +3

We study fundamental graph parameters such as the Diameter and Radius in directed graphs, when distances are measured using a somewhat unorthodox but natural measure: the distance…

cs.DS2018

Nearly Optimal Separation Between Partially And Fully Retroactive Data Structures

Lijie Chen, Erik D. Demaine, Yuzhou Gu +3

Since the introduction of retroactive data structures at SODA 2004, a major unsolved problem has been to bound the gap between the best partially retroactive data structure (where…