Statistical Learning
dist(x,y) andavg(A,B) = 1 |A| |B| X
In this paper, we present a comprehensive study of the performance of average-link in metric spaces, regarding several natural criteria that capture separability and cohesion, and aremore interpretable than Dasgupta'scost function and itsvariants.
A Fast and Accurate Estimator for Large Scale Linear Model via Data Averaging
The asymptotic behavior of the proposed estimation procedure is studied. Our theoretical results show that the proposed method can achieve a faster convergence rate than the optimal convergence rate for sampling methods.
Multivariate Time Series Imputation with Generative Adversarial Networks
Yonghong Luo, Xiangrui Cai, Ying ZHANG, Jun Xu, Yuan xiaojie
Neural Information Processing Systems http://nips.cc/
