5 citations · 5 across the 3 of their papers we have counts for
3 papers
Less is More: Convergence Benefits of Fewer Data Weight Updates over Longer Horizon
Rudrajit Das, Neel Patel, Meisam Razaviyayn +1
Data mixing--the strategic reweighting of training domains--is a critical component in training robust machine learning models. This problem is naturally formulated as a bilevel op…
Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls
Nick Doudchenko, Khashayar Khosravi, Jean Pouget-Abadie +5
We investigate the optimal design of experimental studies that have pre-treatment outcome data available. The average treatment effect is estimated as the difference between the we…
Matroids Hitting Sets and Unsupervised Dependency Grammar Induction
Nicholas Harvey, Vahab Mirrokni, David Karger +2
This paper formulates a novel problem on graphs: find the minimal subset of edges in a fully connected graph, such that the resulting graph contains all spanning trees for a set of…