activity
20162022
most citedCoresets for Classification -- Simplified and Strengthened

9 citations · 22 across the 10 of their papers we have counts for

collaborators

15 papers

cs.LG20223 cited

Sample Constrained Treatment Effect Estimation

Raghavendra Addanki, David Arbour, Tung Mai +2

Treatment effect estimation is a fundamental problem in causal inference. We focus on designing efficient randomized controlled trials, to accurately estimate the effect of some tr…

stat.ME20221 cited

Online Balanced Experimental Design

David Arbour, Drew Dimmery, Tung Mai +1

e consider the experimental design problem in an online environment, an important practical task for reducing the variance of estimates in randomized experiments which allows for g…

cs.DS2021

Optimal Space and Time for Streaming Pattern Matching

Tung Mai, Anup Rao, Ryan A. Rossi +1

In this work, we study longest common substring, pattern matching, and wildcard pattern matching in the asymmetric streaming model. In this streaming model, we have random access t…

cs.LG20219 cited

Coresets for Classification -- Simplified and Strengthened

Tung Mai, Anup B. Rao, Cameron Musco

We give relative error coresets for training linear classifiers with a broad class of loss functions, including the logistic loss and hinge loss. Our construction achieves $(1\pm ε…

cs.CE2021

Responses to COVID-19 with Probabilistic Programming

Assem Zhunis, Tung-Duong Mai, Sundong Kim

The COVID-19 pandemic left its unique mark on the 21st century as one of the most significant disasters in history, triggering governments all over the world to respond with a wide…

stat.ML2021

Asymptotics of Ridge Regression in Convolutional Models

Mojtaba Sahraee-Ardakan, Tung Mai, Anup Rao +3

Understanding generalization and estimation error of estimators for simple models such as linear and generalized linear models has attracted a lot of attention recently. This is in…