Two-Sided Platform Competition in a Sharing Economy
We examine competition between two-sided platforms in a sharing economy. In sharing economies, workers self-schedule their supply based on the wage they receive. The platforms compete for workers a…
The Value of Verified Employment Data for Consumer Lending : Evidence from Eq…
What is the value of verified employment data in consumer lending? We study this question using a data set covering all employment verification inquiries to Equifax. Using a difference-in-differenc…
Finite-Sample Two-Group Composite Hypothesis Testing via Machine Learning
In the problem of composite hypothesis testing, identifying the potential uniformly most powerful (UMP) unbiased test is of great interest. Beyond typical hypothesis settings with exponential famil…
Instance-Dependent Positive and Unlabeled Learning With Labeling Bias Estimation
This paper studies instance-dependent P ositive and U nlabeled (PU) classification, where whether a positive example will be labeled (indicated by s ) is not only related to the class label y , but…
A Meta-Knowledge Transfer-Based Differential Evolution for Multitask Optimiza…
Knowledge transfer plays a vastly important role in solving multitask optimization problems (MTOPs). Many existing methods transfer task-specific knowledge, such as the high-quality solution from o…
HEMlets PoSh : Learning Part-Centric Heatmap Triplets for 3D Human Pose and S…
Estimating 3D human pose from a single image is a challenging task. This work attempts to address the uncertainty of lifting the detected 2D joints to the 3D space by introducing an intermediate st…
Asymptotic Theory of Eigenvectors for Random Matrices With Diverging Spikes
Characterizing the asymptotic distributions of eigenvectors for large random matrices poses important challenges yet can provide useful insights into a range of statistical applications. To this en…
Multipopulation Ant Colony System With Knowledge-Based Local Searches for Mul…
Supply chain management (SCM) is a significant and complex system in a smart city that requires advanced artificial intelligence (AI) and optimization techniques. The multiobjective supply chain co…
Wideband Remote-Sensing Based on Random Fiber Laser
Interrogating a remote passive-sensor with high fidelity is one of the biggest challenges in the sensing domain. Recently, random fiber laser (RFL) combined with remote fiber sensors was proposed f…
Tunable Narrow-Linewidth Fiber Laser Based on the Acoustically Controlled Pol…
Researches on high coherence light sources always pursue fast tuning speed, linear tunability and persistence of narrow linewidths at different tuning channels. Fortunately, acousto-optical interac…
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