3 citations · 5 across the 4 of their papers we have counts for
7 papers
Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions
Ilias Diakonikolas, Daniel M. Kane, Jasper C. H. Lee +1
We study the fundamental task of outlier-robust mean estimation for heavy-tailed distributions in the presence of sparsity. Specifically, given a small number of corrupted samples…
Predict+Optimize for Packing and Covering LPs with Unknown Parameters in Constraints
Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee
Predict+Optimize is a recently proposed framework which combines machine learning and constrained optimization, tackling optimization problems that contain parameters that are unkn…
Branch & Learn for Recursively and Iteratively Solvable Problems in Predict+Optimize
Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee +1
This paper proposes Branch & Learn, a framework for Predict+Optimize to tackle optimization problems containing parameters that are unknown at the time of solving. Given an optimiz…
Optimal Sub-Gaussian Mean Estimation in
Jasper C. H. Lee, Paul Valiant
We revisit the problem of estimating the mean of a real-valued distribution, presenting a novel estimator with sub-Gaussian convergence: intuitively, "our estimator, on any distrib…
Finding the Mode of a Kernel Density Estimate
Jasper C. H. Lee, Jerry Li, Christopher Musco +2
Given points in , how do we find a point which maximizes ? In other words, how do we find the maxim…
Uncertainty about Uncertainty: Optimal Adaptive Algorithms for Estimating Mixtures of Unknown Coins
Jasper C. H. Lee, Paul Valiant
Given a mixture between two populations of coins, "positive" coins that each have -- unknown and potentially different -- bias and "negative" coins with bias $\…