1 citations · 1 across the 12 of their papers we have counts for
6 papers · 1 filter
GSP Autobidding Equilibria with Few Advertisers or Slots
Yiyang Huang, Zhengyang Liu, Yonglei Yan +1
In sponsored-shopping auctions, one advertiser may win several positions, and a product that is never displayed may determine the prices of several winners. Under generalized secon…
Multinomial Subset Routing with Sum-Max Rewards and Operational Constraints
Quan Zhou, Yiyan Huang
We study online routing to subsets of experts under aggregate bandit feedback and long-run operational constraints. Expert contributions can be complementary: for each task dimensi…
Wasserstein Policy Learning for Distributional Outcomes
Yiyan Huang, Cheuk Hang Leung, Qi Wu +1
Offline policy learning has received growing attention in causal inference. The primary objective is to learn a policy (individualized treatment rule) as a mapping from covariates…
Pacing Equilibria in Second-Price Auctions with Few Goods
Yiyang Huang, Yonglei Yan, Zihe Wang +1
In this paper, we investigate the computation of second-price pacing equilibria (SPPEs), a foundational model in online advertising auctions. We present a polynomial-time algorithm…
Evaluating Uplift Modeling under Structural Biases: Insights into Metric Stability and Model Robustness
Yuxuan Yang, Dugang Liu, Yiyan Huang
In personalized marketing, uplift models estimate the incremental effect of an intervention by modeling how customer behavior would change under alternative treatments using counte…
Budgeted Active Experimentation for Treatment Effect Estimation from Observational and Randomized Data
Jiacan Gao, Xinyan Su, Mingyuan Ma +7
Estimating heterogeneous treatment effects is central to data-driven decision-making, yet industrial applications often face a fundamental tension between limited randomized contro…