Decision Trees for Decision-Making under the Predict-then-Optimize Framework AN Elmachtoub, JCN Liang, R McNellis Proceedings of the 37th International Conference on Machine Learning, PMLR …, 2020 | 131 | 2020 |
Incentive-aware Contextual Pricing with Non-parametric Market Noise N Golrezaei, P Jaillet, JCN Liang arXiv preprint arXiv:1911.03508, 2019 | 38* | 2019 |
Bidding and Pricing in Budget and ROI Constrained Markets N Golrezaei, P Jaillet, JCN Liang, V Mirrokni arXiv preprint arXiv:2107.07725, 2021 | 34 | 2021 |
Individual Welfare Guarantees in the Autobidding World with Machine-learned Advice Y Deng, N Golrezaei, P Jaillet, JCN Liang, V Mirrokni arXiv preprint arXiv:2209.04748, 2022 | 17* | 2022 |
Multi-channel Autobidding with Budget and ROI Constraints Y Deng, N Golrezaei, P Jaillet, JCN Liang, V Mirrokni arXiv preprint arXiv:2302.01523, 2023 | 16 | 2023 |
No-regret Learning in Price Competitions under Consumer Reference Effects N Golrezaei, P Jaillet, JCN Liang Advances in Neural Information Processing Systems 33, 2020 | 14 | 2020 |
Pricing against a Budget and ROI Constrained Buyer N Golrezaei, P Jaillet, JCN Liang, V Mirrokni International Conference on Artificial Intelligence and Statistics, 9282-9307, 2023 | 5 | 2023 |
Interpolating Item and User Fairness in Recommendation Systems Q Chen, JCN Liang, N Golrezaei, D Bouneffouf Available at SSRN 4476512, 2023 | 3 | 2023 |
Online Ad Procurement in Non-stationary Autobidding Worlds JCN Liang, H Lu, B Zhou arXiv preprint arXiv:2307.05698, 2023 | 2 | 2023 |
Automated Data-driven Algorithm and Mechanism Design in Online Advertising Markets JCN Liang Massachusetts Institute of Technology, 2023 | | 2023 |