9 citations · 17 across the 5 of their papers we have counts for
5 papers
The (Marginal) Value of a Search Ad: An Online Causal Framework for Repeated Second-price Auctions
Yuxiao Wen, Zihao Hu, Yanjun Han +2
Existing auto-bidding algorithms in digital advertising often treat the value of an ad opportunity as the revenue obtained when an ad is shown and/or clicked, and bid accordingly.…
On Private Online Convex Optimization: Optimal Algorithms in -Geometry and High Dimensional Contextual Bandits
Yuxuan Han, Zhicong Liang, Zhipeng Liang +3
Differentially private (DP) stochastic convex optimization (SCO) is ubiquitous in trustworthy machine learning algorithm design. This paper studies the DP-SCO problem with streamin…
NeuroMixGDP: A Neural Collapse-Inspired Random Mixup for Private Data Release
Donghao Li, Yang Cao, Yuan Yao
Privacy-preserving data release algorithms have gained increasing attention for their ability to protect user privacy while enabling downstream machine learning tasks. However, the…
Controlling the False Discovery Rate in Transformational Sparsity: Split Knockoffs
Yang Cao, Xinwei Sun, Yuan Yao
Controlling the False Discovery Rate (FDR) in a variable selection procedure is critical for reproducible discoveries, and it has been extensively studied in sparse linear models.…
Differentially Private Federated Learning with Laplacian Smoothing
Zhicong Liang, Bao Wang, Quanquan Gu +2
Federated learning aims to protect data privacy by collaboratively learning a model without sharing private data among users. However, an adversary may still be able to infer the p…