3 citations · 8 across the 8 of their papers we have counts for
4 papers · 1 filter
A Nearly Optimal Size Coreset Algorithm with Nearly Linear Time
Yichuan Deng, Zhao Song, Yitan Wang +1
A coreset is a point set containing information about geometric properties of a larger point set. A series of previous works show that in many machine learning problems, especially…
A General Design-Based Framework and Estimator for Randomized Experiments
Christopher Harshaw, Fredrik Sävje, Yitan Wang
We describe a widely applicable design-based framework for drawing causal inference in randomized experiments. Causal effects are defined as linear functionals evaluated at unit-le…
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability
Zhao Song, Yitan Wang, Zheng Yu +1
Sketching is one of the most fundamental tools in large-scale machine learning. It enables runtime and memory saving via randomly compressing the original large problem into lower…
A Sublinear Adversarial Training Algorithm
Yeqi Gao, Lianke Qin, Zhao Song +1
Adversarial training is a widely used strategy for making neural networks resistant to adversarial perturbations. For a neural network of width , input training data in …