3 citations · 8 across the 14 of their papers we have counts for
4 papers · 1 filter
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…
Finite-Sample Maximum Likelihood Estimation of Location
Shivam Gupta, Jasper C. H. Lee, Eric Price +1
We consider 1-dimensional location estimation, where we estimate a parameter from samples , with each drawn i.i.d. from a known distribution . For fixed $f…
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…