Liao, Luofeng

10 publications

ICLR 2025 Interference Among First-Price Pacing Equilibria: A Bias and Variance Analysis Luofeng Liao, Christian Kroer, Sergei Leonenkov, Okke Schrijvers, Liang Shi, Nicolas Stier Moses, Congshan Zhang

NeurIPS 2025 The Bias-Variance Tradeoff in Data-Driven Optimization: A Local Misspecification Perspective Haixiang Lan, Luofeng Liao, Adam N. Elmachtoub, Christian Kroer, Henry Lam, Haofeng Zhang

ICML 2024 Bootstrapping Fisher Market Equilibrium and First-Price Pacing Equilibrium Luofeng Liao, Christian Kroer

AAAI 2024 Greedy-Based Online Fair Allocation with Adversarial Input: Enabling Best-of-Many-Worlds Guarantees Zongjun Yang, Luofeng Liao, Christian Kroer

JMLR 2024 Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning Luofeng Liao, Zuyue Fu, Zhuoran Yang, Yixin Wang, Dingli Ma, Mladen Kolar, Zhaoran Wang

MLJ 2024 Local AdaGrad-Type Algorithm for Stochastic Convex-Concave Optimization Luofeng Liao, Li Shen, Jia Duan, Mladen Kolar, Dacheng Tao

ICML 2023 Statistical Inference and A/B Testing for First-Price Pacing Equilibria Luofeng Liao, Christian Kroer

ICLR 2023 Statistical Inference for Fisher Market Equilibrium Luofeng Liao, Yuan Gao, Christian Kroer

NeurIPS 2022 Nonstationary Dual Averaging and Online Fair Allocation Luofeng Liao, Yuan Gao, Christian Kroer

NeurIPS 2020 Provably Efficient Neural Estimation of Structural Equation Models: An Adversarial Approach Luofeng Liao, You-Lin Chen, Zhuoran Yang, Bo Dai, Mladen Kolar, Zhaoran Wang