Feng, Zhe

16 publications

NeurIPS 2025 A Unified Approach to Submodular Maximization Under Noise Kshipra Bhawalkar, Yang Cai, Zhe Feng, Christopher Liaw, Tao Lin
AAAI 2025 Deviate or Not: Learning Coalition Structures with Multiple-Bit Observations in Games Yixuan Even Xu, Zhe Feng, Fei Fang
ICML 2025 Unisoma: A Unified Transformer-Based Solver for Multi-Solid Systems Shilong Tao, Zhe Feng, Haonan Sun, Zhanxing Zhu, Yunhuai Liu
ICML 2024 A Field Guide for Pacing Budget and ROS Constraints Santiago R. Balseiro, Kshipra Bhawalkar, Zhe Feng, Haihao Lu, Vahab Mirrokni, Balasubramanian Sivan, Di Wang
ICLR 2024 Learning Thresholds with Latent Values and Censored Feedback Jiahao Zhang, Tao Lin, Weiqiang Zheng, Zhe Feng, Yifeng Teng, Xiaotie Deng
NeurIPS 2023 Follow-Ups Also Matter: Improving Contextual Bandits via Post-Serving Contexts Chaoqi Wang, Ziyu Ye, Zhe Feng, Ashwinkumar Badanidiyuru Varadaraja, Haifeng Xu
ICMLW 2023 Follow-Ups Also Matter: Improving Contextual Bandits via Post-Serving Contexts Chaoqi Wang, Ziyu Ye, Zhe Feng, Ashwinkumar Badanidiyuru, Haifeng Xu
ICML 2023 Improved Online Learning Algorithms for CTR Prediction in Ad Auctions Zhe Feng, Christopher Liaw, Zixin Zhou
ICML 2023 Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions Boxiang Lyu, Zhe Feng, Zachary Robertson, Sanmi Koyejo
ICML 2022 A Context-Integrated Transformer-Based Neural Network for Auction Design Zhijian Duan, Jingwu Tang, Yutong Yin, Zhe Feng, Xiang Yan, Manzil Zaheer, Xiaotie Deng
NeurIPS 2022 Incrementality Bidding via Reinforcement Learning Under Mixed and Delayed Rewards Ashwinkumar Badanidiyuru Varadaraja, Zhe Feng, Tianxi Li, Haifeng Xu
AAAI 2021 Convergence Analysis of No-Regret Bidding Algorithms in Repeated Auctions Zhe Feng, Guru Guruganesh, Christopher Liaw, Aranyak Mehta, Abhishek Sethi
ICML 2021 Reserve Price Optimization for First Price Auctions in Display Advertising Zhe Feng, Sebastien Lahaie, Jon Schneider, Jinchao Ye
AAAI 2020 Controlling the Amount of Verbatim Copying in Abstractive Summarization Kaiqiang Song, Bingqing Wang, Zhe Feng, Ren Liu, Fei Liu
ICML 2020 The Intrinsic Robustness of Stochastic Bandits to Strategic Manipulation Zhe Feng, David Parkes, Haifeng Xu
ICML 2019 Optimal Auctions Through Deep Learning Paul Duetting, Zhe Feng, Harikrishna Narasimhan, David Parkes, Sai Srivatsa Ravindranath