Luofeng Liao

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 16

Top Topics

Market Clearing

Market Equilibrium

Statistical Inference

Top Venues

Publications

Luofeng Liao, Li Shen, Jia Duan, Mladen Kolar, Dacheng Tao
Local AdaGrad-type algorithm for stochastic convex-concave optimization. Mach. Learn. 113 (4) (2024)
Luofeng Liao, Christian Kroer
Statistical Inference and A/B Testing in Fisher Markets and Paced Auctions. CoRR (2024)
Luofeng Liao, Christian Kroer
Bootstrapping Fisher Market Equilibrium and First-Price Pacing Equilibrium. CoRR (2024)
Luofeng Liao, Christian Kroer, Sergei Leonenkov, Okke Schrijvers, Liang Shi, Nicolás Stier Moses, Congshan Zhang
Interference Among First-Price Pacing Equilibria: A Bias and Variance Analysis. CoRR (2024)
Zongjun Yang, Luofeng Liao, Christian Kroer
Greedy-Based Online Fair Allocation with Adversarial Input: Enabling Best-of-Many-Worlds Guarantees. AAAI (2024)
Luofeng Liao, Yuan Gao, Christian Kroer
Statistical Inference for Fisher Market Equilibrium. ICLR (2023)
Zongjun Yang, Luofeng Liao, Christian Kroer
Greedy-Based Online Fair Allocation with Adversarial Input: Enabling Best-of-Many-Worlds Guarantees. CoRR (2023)
Luofeng Liao, Christian Kroer
Statistical Inference and A/B Testing for First-Price Pacing Equilibria. CoRR (2023)
Luofeng Liao, Christian Kroer
Statistical Inference and A/B Testing for First-Price Pacing Equilibria. ICML (2023)
Luofeng Liao, Yuan Gao, Christian Kroer
Nonstationary Dual Averaging and Online Fair Allocation. NeurIPS (2022)
Luofeng Liao, Yuan Gao, Christian Kroer
Nonstationary Dual Averaging and Online Fair Allocation. CoRR (2022)
Luofeng Liao, Yuan Gao, Christian Kroer
Statistical Inference for Fisher Market Equilibrium. CoRR (2022)
Luofeng Liao, Zuyue Fu, Zhuoran Yang, Mladen Kolar, Zhaoran Wang
Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning. CoRR (2021)
Luofeng Liao, Li Shen, Jia Duan, Mladen Kolar, Dacheng Tao
Local AdaGrad-Type Algorithm for Stochastic Convex-Concave Minimax Problems. CoRR (2021)
Luofeng Liao, You-Lin Chen, Zhuoran Yang, Bo Dai, Mladen Kolar, Zhaoran Wang
Provably Efficient Neural Estimation of Structural Equation Models: An Adversarial Approach. NeurIPS (2020)
Luofeng Liao, You-Lin Chen, Zhuoran Yang, Bo Dai, Zhaoran Wang, Mladen Kolar
Provably Efficient Neural Estimation of Structural Equation Model: An Adversarial Approach. CoRR (2020)