24 citations · 35 across the 17 of their papers we have counts for
3 papers · 1 filter
Trickle-Down in Localization Schemes and Applications
Nima Anari, Frederic Koehler, Thuy-Duong Vuong
Trickle-down is a phenomenon in high-dimensional expanders with many important applications -- for example, it is a key ingredient in various constructions of high-dimensional expa…
Lasso with Latents: Efficient Estimation, Covariate Rescaling, and Computational-Statistical Gaps
Jonathan Kelner, Frederic Koehler, Raghu Meka +1
It is well-known that the statistical performance of Lasso can suffer significantly when the covariates of interest have strong correlations. In particular, the prediction error of…
Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting
Serina Chang, Frederic Koehler, Zhaonan Qu +2
A common network inference problem, arising from real-world data constraints, is how to infer a dynamic network from its time-aggregated adjacency matrix and time-varying marginals…