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Machine learning (ML) models, e.g., deep neural networks (DNNs), are vulnerable to adversarial examples: malicious inputs… Expand How can we explain the predictions of a black-box model? In this paper, we use influence functions — a classic technique from… Expand Variational inference has become a widely used method to approximate posteriors in complex latent variables models. However… Expand To enable a better understanding of the underlying logic of path dependence, we set forth a theoretical framework explaining how… Expand Virtualization can provide significant benefits in data centers by enabling virtual machine migration to eliminate hotspots. We… Expand Social science research contains a wealth of knowledge for people seeking to understand collaboration processes. The authors… Expand Over the past several years, substantial research effort has gone into measuring the efficiency of financial institutions. Many… Expand With this first issue, Organization Science inaugurates a new editorial format called "Perspective." It is intended as an… Expand The 'credit channel' theory of monetary policy transmission holds that informational frictions in credit markets worsen during… Expand A nonlinear black-box structure for a dynamical system is a model structure that is prepared to describe virtually any nonlinear… Expand