arXiv:2603.24833v1 Announce Type: cross
Abstract: We introduce a flexible framework for high-dimensional matrix estimation to incorporate side information for both rows and columns. Existing approaches, such as inductive matrix completion, often impos…
arXiv:2602.12023v3 Announce Type: replace-cross
Abstract: Applied work under interference typically models outcomes as functions of own treatment and a low-dimensional exposure mapping of others’ treatments, even when that mapping may be misspecified….
arXiv:2602.12023v2 Announce Type: replace-cross
Abstract: Applied work under interference typically models outcomes as functions of own treatment and a low-dimensional exposure mapping of others’ treatments, even when that mapping may be misspecified….