23 citations · 46 across the 4 of their papers we have counts for
4 papers
Spectral Algorithm for Low-rank Multitask Regression
Yotam Gigi, Ami Wiesel, Sella Nevo +3
Multitask learning, i.e. taking advantage of the relatedness of individual tasks in order to improve performance on all of them, is a core challenge in the field of machine learnin…
ML for Flood Forecasting at Scale
Sella Nevo, Vova Anisimov, Gal Elidan +11
Effective riverine flood forecasting at scale is hindered by a multitude of factors, most notably the need to rely on human calibration in current methodology, the limited amount o…
Towards Global Remote Discharge Estimation: Using the Few to Estimate The Many
Yotam Gigi, Gal Elidan, Avinatan Hassidim +5
Learning hydrologic models for accurate riverine flood prediction at scale is a challenge of great importance. One of the key difficulties is the need to rely on in-situ river disc…
Simultaneous penalized M-estimation of covariance matrices using geodesically convex optimization
Esa Ollila, Ilya Soloveychik, David E. Tyler +1
A common assumption when sampling -dimensional observations from distinct group is the equality of the covariance matrices. In this paper, we propose two penalized -estim…