4 citations · 4 across the 2 of their papers we have counts for
3 papers
BanditLP: Large-Scale Stochastic Optimization for Personalized Recommendations
Phuc Nguyen, Benjamin Zelditch, Joyce Chen +2
We present BanditLP, a scalable multi-stakeholder contextual bandit framework that unifies neural Thompson Sampling for learning objective-specific outcomes with a large-scale line…
Beyond Basic A/B testing: Improving Statistical Efficiency for Business Growth
Changshuai Wei, Phuc Nguyen, Benjamin Zelditch +1
The standard A/B testing approaches are mostly based on t-test in large scale industry applications. These standard approaches however suffers from low statistical power in busines…
Neural Optimization with Adaptive Heuristics for Intelligent Marketing System
Changshuai Wei, Benjamin Zelditch, Joyce Chen +6
Computational marketing has become increasingly important in today's digital world, facing challenges such as massive heterogeneous data, multi-channel customer journeys, and limit…