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Jason Cheuk Nam Liang
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2020 – today
- 2024
- [c7]Yuan Deng, Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang, Vahab Mirrokni:
Individual Welfare Guarantees in the Autobidding World with Machine-learned Advice. WWW 2024: 267-275 - 2023
- [c6]Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang, Vahab Mirrokni:
Pricing against a Budget and ROI Constrained Buyer. AISTATS 2023: 9282-9307 - [c5]Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang:
Incentive-aware Contextual Pricing with Non-parametric Market Noise. AISTATS 2023: 9331-9361 - [c4]Yuan Deng, Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang, Vahab Mirrokni:
Multi-channel Autobidding with Budget and ROI Constraints. ICML 2023: 7617-7644 - [c3]Jason Cheuk Nam Liang, Haihao Lu, Baoyu Zhou:
Online Ad Procurement in Non-stationary Autobidding Worlds. NeurIPS 2023 - [i8]Yuan Deng, Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang, Vahab Mirrokni:
Multi-channel Autobidding with Budget and ROI Constraints. CoRR abs/2302.01523 (2023) - [i7]Qinyi Chen, Jason Cheuk Nam Liang, Negin Golrezaei, Djallel Bouneffouf:
Interpolating Item and User Fairness in Recommendation Systems. CoRR abs/2306.10050 (2023) - [i6]Jason Cheuk Nam Liang, Haihao Lu, Baoyu Zhou:
Online Ad Procurement in Non-stationary Autobidding Worlds. CoRR abs/2307.05698 (2023) - 2022
- [i5]Yuan Deng, Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang, Vahab Mirrokni:
Fairness in the Autobidding World with Machine-learned Advice. CoRR abs/2209.04748 (2022) - 2021
- [i4]Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang, Vahab S. Mirrokni:
Bidding and Pricing in Budget and ROI Constrained Markets. CoRR abs/2107.07725 (2021) - 2020
- [c2]Adam N. Elmachtoub, Jason Cheuk Nam Liang, Ryan McNellis:
Decision Trees for Decision-Making under the Predict-then-Optimize Framework. ICML 2020: 2858-2867 - [c1]Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang:
No-regret Learning in Price Competitions under Consumer Reference Effects. NeurIPS 2020 - [i3]Adam N. Elmachtoub, Jason Cheuk Nam Liang, Ryan McNellis:
Decision Trees for Decision-Making under the Predict-then-Optimize Framework. CoRR abs/2003.00360 (2020) - [i2]Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang:
No-regret Learning in Price Competitions under Consumer Reference Effects. CoRR abs/2011.03653 (2020)
2010 – 2019
- 2019
- [i1]Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang:
Incentive-aware Contextual Pricing with Non-parametric Market Noise. CoRR abs/1911.03508 (2019)
Coauthor Index
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