作者：Zheng, Zemin; Lv, Jinchi; Lin, Wei
作者单位：Chinese Academy of Sciences; University of Science & Technology of China, CAS; University of Southern California; Peking University; Peking University
摘要：As a popular tool for producing meaningful and interpretable models, large-scale sparse learning works efficiently in many optimization applications when the underlying structures are indeed or close to sparse. However, naively applying the existing regularization methods can result in misleading outcomes because of model mis-specification. In this paper, we consider nonsparse learning under the factors plus sparsity structure, which yields a joint modeling of sparse individual effects and com...
作者：Wu, Manxi; Amin, Saurabh; Ozdaglar, Asuman E.
作者单位：Massachusetts Institute of Technology (MIT); Massachusetts Institute of Technology (MIT); Massachusetts Institute of Technology (MIT)
摘要：We study a routing game in an environment with multiple heterogeneous information systems and an uncertain state that affects edge costs of a congested network. Each information system sends a noisy signal about the state to its subscribed traveler population. Travelers make route choices based on their private beliefs about the state and other populations' signals. The question then arises, How does the presence of asymmetric and incomplete information affect the travelers' equilibrium route ...
