1 citations · 1 across the 13 of their papers we have counts for
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Adaptive Querying with AI Persona Priors
Kaizheng Wang, Yuhang Wu, Assaf Zeevi
We study adaptive querying for learning user-dependent quantities of interest, such as responses to held-out items and psychometric indicators, within tight query budgets. Classica…
Pseudo-Labeling for Unsupervised Domain Adaptation with Kernel GLMs
Nathan Weill, Kaizheng Wang
We propose a principled framework for unsupervised domain adaptation under covariate shift in kernel Generalized Linear Models (GLMs), encompassing kernelized linear, logistic, and…
The Nonstationarity-Complexity Tradeoff in Return Prediction
Agostino Capponi, Chengpiao Huang, J. Antonio Sidaoui +2
Does more data improve return prediction? In non-stationary financial markets, longer training windows improve prediction of complex models but incorporate outdated economic regime…
Adaptive Data Fusion for Multi-task Non-smooth Optimization
Henry Lam, Kaizheng Wang, Yuhang Wu +1
We study the problem of multi-task non-smooth optimization that arises ubiquitously in statistical learning, decision-making and risk management. We develop a data fusion approach…