Conference Publications

This page is for conference publications. See here for other publications.

Information Design with Unknown Prior
Ce Li, Tao Lin
Innovations in Theoretical Computer Science (ITCS), 2025
PDF Video URL
User-Creator Feature Polarization in Recommender Systems with Dual Influence
Tao Lin, Kun Jin, Andrew Estornell, Xiaoying Zhang, Yiling Chen, Yang Liu
Neural Information Processing Systems (NeurIPS), 2024
PDF Poster Slides URL
Bias Detection via Signaling
(Alphabet) Yiling Chen, Tao Lin, Ariel D. Procaccia, Aaditya Ramdas, Itai Shapira
Neural Information Processing Systems (NeurIPS), 2024
PDF URL
Multi-Sender Persuasion: A Computational Perspective
Safwan Hossain*, Tonghan Wang*, Tao Lin*, Yiling Chen, David C. Parkes, Haifeng Xu
International Conference on Machine Learning (ICML), 2024
PDF URL
Learning Thresholds with Latent Values and Censored Feedback
Jiahao Zhang, Tao Lin, Weiqiang Zheng, Zhe Feng, Yifeng Teng, Xiaotie Deng
International Conference on Learning Representations (ICLR), 2024
PDF URL
Sample Complexity of Forecast Aggregation
Tao Lin, Yiling Chen
Neural Information Processing Systems (NeurIPS spotlight), 2023
PDF Poster arXiv video in Chinese
From Monopoly to Competition: Optimal Contests Prevail
(Alphabet) Xiaotie Deng, Yotam Gafni, Ron Lavi, Tao Lin, Hongyi Ling
AAAI Conference on Artificial Intelligence, 2023
PDF Poster URL
Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions
(Alphabet) Xiaotie Deng, Xinyan Hu, Tao Lin, Weiqiang Zheng
The ACM Web Conference (WWW), 2022
PDF Slides URL arxiv 15-min video 2-min video by Xinyan
How Many Representatives Do We Need? The Optimal Size of a Congress Voting on Binary Issues
Manon Revel, Tao Lin, Daniel Halpern
AAAI Conference on Artificial Intelligence, 2022
URL
Learning Utilities and Equilibria in Non-Truthful Auctions
(Alphabet) Hu Fu, Tao Lin
Neural Information Processing Systems (NeurIPS), 2020
PDF arxiv