We propose an ensemble score filter (EnSF) for solving high-dimensional
...
To speed up online testing, adaptive traffic experimentation through
mul...
Transfer learning for partial differential equations (PDEs) is to develo...
Metrics provide strong evidence to support hypotheses in online
experime...
To recommend relevant merchandises for seasonal retail events, we rely o...
eBay's experimentation platform runs hundreds of A/B tests on any given ...
In recent years, the exponential increase in the demand of wireless data...
In this paper, we introduce an adaptive kernel method for solving the op...
In 1940s, Claude Shannon developed the information theory focusing on
qu...
Multi-point vehicular positioning is one essential operation for autonom...
At eBay, there are thousands of product health metrics for different dom...
In the near future, Internet-of-Things (IoT) is expected to connect bill...
In this paper, we solve the arms exponential exploding issue in multivar...
Multi-point detection of the full-scale environment is an important issu...
In this paper, the uplink adaptation for massive
multiple-input-multiple...
The performance of downlink massive multiple-input-multiple-output netwo...