5 citations · 10 across the 3 of their papers we have counts for
4 papers · 1 filter
Robust High Dimensional Expectation Maximization Algorithm via Trimmed Hard Thresholding
Di Wang, Xiangyu Guo, Shi Li +1
In this paper, we study the problem of estimating latent variable models with arbitrarily corrupted samples in high dimensional space ({\em i.e.,} ) where the underlying pa…
Estimating Stochastic Linear Combination of Non-linear Regressions Efficiently and Scalably
Di Wang, Xiangyu Guo, Chaowen Guan +2
Recently, many machine learning and statistical models such as non-linear regressions, the Single Index, Multi-index, Varying Coefficient Index Models and Two-layer Neural Networks…
Consistent -Median: Simpler, Better and Robust
Xiangyu Guo, Janardhan Kulkarni, Shi Li +1
In this paper we introduce and study the online consistent -clustering with outliers problem, generalizing the non-outlier version of the problem studied in [Lattanzi-Vassilvits…
The Power of Recourse: Better Algorithms for Facility Location in Online and Dynamic Models
Xiangyu Guo, Janardhan Kulkarni, Shi Li +1
In this paper we study the facility location problem in the online with recourse and dynamic algorithm models. In the online with recourse model, clients arrive one by one and our…