2 papers
math.ST2025
On the Low-Temperature MCMC threshold: the cases of sparse tensor PCA, sparse regression, and a geometric rule
Zongchen Chen, Conor Sheehan, Ilias Zadik
Over the last years, there has been a significant amount of work studying the power of specific classes of computationally efficient estimators for multiple statistical parametric…
math.ST2025
Almost-Optimal Local-Search Methods for Sparse Tensor PCA
Max Lovig, Conor Sheehan, Konstantinos Tsirkas +1
Local-search methods are widely employed in statistical applications, yet interestingly, their theoretical foundations remain rather underexplored, compared to other classes of est…