activity
20152022
most citedAlgorithms for Lipschitz Learning on Graphs

24 citations · 76 across the 13 of their papers we have counts for

collaborators

25 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.LG2021

Multiscale Manifold Warping

Sridhar Mahadevan, Anup Rao, Georgios Theocharous +1

Many real-world applications require aligning two temporal sequences, including bioinformatics, handwriting recognition, activity recognition, and human-robot coordination. Dynamic…

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…

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…

cs.LG20214 cited

Machine Unlearning via Algorithmic Stability

Enayat Ullah, Tung Mai, Anup Rao +2

We study the problem of machine unlearning and identify a notion of algorithmic stability, Total Variation (TV) stability, which we argue, is suitable for the goal of exact unlearn…