Luofeng Liao

According to our database, Luofeng Liao authored at least 13 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Local AdaGrad-type algorithm for stochastic convex-concave optimization.

Luofeng Liao, Li Shen, Jia Duan, Mladen Kolar, Dacheng Tao

Mach. Learn., April, 2024

Online Fair Allocation with Best-of-Many-Worlds Guarantees.

Zongjun Yang, Luofeng Liao, Yuan Gao, Christian Kroer

CoRR, 2024

Statistical Inference and A/B Testing in Fisher Markets and Paced Auctions.

Luofeng Liao, Christian Kroer

CoRR, 2024

Interference Among First-Price Pacing Equilibria: A Bias and Variance Analysis.

Luofeng Liao, Christian Kroer, Sergei Leonenkov, Okke Schrijvers, Liang Shi, Nicolás Stier Moses, Congshan Zhang

CoRR, 2024

Bootstrapping Fisher Market Equilibrium and First-Price Pacing Equilibrium.

Luofeng Liao, Christian Kroer

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Greedy-Based Online Fair Allocation with Adversarial Input: Enabling Best-of-Many-Worlds Guarantees.

Zongjun Yang, Luofeng Liao, Christian Kroer

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Statistical Inference and A/B Testing for First-Price Pacing Equilibria.

Luofeng Liao, Christian Kroer

Proceedings of the International Conference on Machine Learning, 2023

Statistical Inference for Fisher Market Equilibrium.

Luofeng Liao, Yuan Gao, Christian Kroer

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Nonstationary Dual Averaging and Online Fair Allocation.

Luofeng Liao, Yuan Gao, Christian Kroer

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Local AdaGrad-Type Algorithm for Stochastic Convex-Concave Minimax Problems.

Luofeng Liao, Li Shen, Jia Duan, Mladen Kolar, Dacheng Tao

CoRR, 2021

Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning.

Luofeng Liao, Zuyue Fu, Zhuoran Yang, Mladen Kolar, Zhaoran Wang

CoRR, 2021

2020

Provably Efficient Neural Estimation of Structural Equation Model: An Adversarial Approach.

Luofeng Liao, You-Lin Chen, Zhuoran Yang, Bo Dai, Zhaoran Wang, Mladen Kolar

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020