Improved Online Learning Algorithms for CTR Prediction in Ad Auctions

no code implementations • 29 Feb 2024 • Zhe Feng, Christopher Liaw, Zixin Zhou

In this work, we investigate the online learning problem of revenue maximization in ad auctions, where the seller needs to learn the click-through rates (CTRs) of each ad candidate and charge the price of the winner through a pay-per-click manner.

Click-Through Rate Prediction

Business Process Text Sketch Automation Generation Using Large Language Model

no code implementations • 3 Sep 2023 • Rui Zhu, Quanzhou Hu, Wenxin Li, Honghao Xiao, Chaogang Wang, Zixin Zhou

Business process document generation is a crucial stage in BPM.

In-Context Learning Language Modelling +2

Explainable Voting

no code implementations • NeurIPS 2020 • Dominik Peters, Ariel D. Procaccia, Alexandros Psomas, Zixin Zhou

The design of voting rules is traditionally guided by desirable axioms.

Decision Making

Optimal Multi-Dimensional Mechanisms are not Locally-Implementable

no code implementations • 19 Nov 2020 • S. Matthew Weinberg, Zixin Zhou

We show that this phenomenon already occurs with just two bidders, even when one bidder is single-dimensional, and when the other bidder is barely multi-dimensional.

Computer Science and Game Theory

(Locally) Differentially Private Combinatorial Semi-Bandits

no code implementations • ICML 2020 • Xiaoyu Chen, Kai Zheng, Zixin Zhou, Yunchang Yang, Wei Chen, Li-Wei Wang

In this paper, we study Combinatorial Semi-Bandits (CSB) that is an extension of classic Multi-Armed Bandits (MAB) under Differential Privacy (DP) and stronger Local Differential Privacy (LDP) setting.

Multi-Armed Bandits Privacy Preserving