| Instrumental variable value iteration for causal offline reinforcement learning L Liao, Z Fu, Z Yang, Y Wang, M Kolar, Z Wang Journal of Machine Learning Research 2024, 2024 | 49 | 2024 |
| Provably efficient neural estimation of structural equation models: An adversarial approach L Liao, YL Chen, Z Yang, B Dai, M Kolar, Z Wang NeurIPS 2020, 2020 | 37 | 2020 |
| Nonstationary Dual Averaging and Online Fair Allocation L Liao, Y Gao, C Kroer NeurIPS 2022, 2022 | 21 | 2022 |
| Local AdaGrad-Type Algorithm for Stochastic Convex-Concave Optimization L Liao, L Shen, J Duan, M Kolar, D Tao Machine Learning - Springer, 2021 | 11* | 2021 |
| Statistical Inference and A/B Testing for First-Price Pacing Equilibria L Liao, C Kroer ICML 2023, 2023 | 10 | 2023 |
| Statistical Inference for Fisher Market Equilibrium L Liao, Y Gao, C Kroer ICLR 2023, 2022 | 5 | 2022 |
| Greedy-Based Online Fair Allocation with Adversarial Input: Enabling Best-of-Many-Worlds Guarantees Z Yang, L Liao, C Kroer AAAI 2023, 2023 | 2 | 2023 |
| Interference Among First-Price Pacing Equilibria: A Bias and Variance Analysis L Liao, C Kroer, S Leonenkov, O Schrijvers, L Shi, N Stier-Moses, ... arXiv preprint arXiv:2402.07322, 2024 | 1 | 2024 |
| Bootstrapping Fisher Market Equilibrium and First-Price Pacing Equilibrium L Liao, C Kroer ICML 2024, 2024 | 1 | 2024 |
| Online Fair Allocation with Best-of-Many-Worlds Guarantees Z Yang, L Liao, Y Gao, C Kroer arXiv preprint arXiv:2408.02403, 2024 | | 2024 |
| Statistical Inference and A/B Testing in Fisher Markets and Paced Auctions L Liao, C Kroer arXiv preprint arXiv:2406.15522, 2024 | | 2024 |
