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Denis Nekipelov
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2020 – today
- 2024
- [c12]Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu:
Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict? ICML 2024 - [i14]Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu:
Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict? CoRR abs/2402.15467 (2024) - 2023
- [c11]Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu:
How Bad is Top-K Recommendation under Competing Content Creators? ICML 2023: 39674-39701 - [i13]Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu:
How Bad is Top-K Recommendation under Competing Content Creators? CoRR abs/2302.01971 (2023) - 2022
- [c10]Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu:
Learning the Optimal Recommendation from Explorative Users. AAAI 2022: 9457-9465 - [c9]Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu:
Learning from a Learning User for Optimal Recommendations. ICML 2022: 25382-25406 - [c8]Yiding Feng
, Ronen Gradwohl
Bias-Variance Games. EC 2022: 328-329 - [i12]Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu:
Learning from a Learning User for Optimal Recommendations. CoRR abs/2202.01879 (2022) - 2021
- [i11]Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu:
Learning the Optimal Recommendation from Explorative Users. CoRR abs/2110.03068 (2021) - 2020
- [c7]Yiding Feng, Ekaterina Khmelnitskaya, Denis Nekipelov:
Global Concavity and Optimization in a Class of Dynamic Discrete Choice Models. ICML 2020: 3082-3091 - [c6]Jason D. Hartline, Aleck C. Johnsen, Denis Nekipelov, Zihe Wang:
Inference from Auction Prices. SODA 2020: 2472-2491
2010 – 2019
- 2019
- [c5]Jason D. Hartline, Aleck C. Johnsen, Denis Nekipelov, Onno Zoeter:
Dashboard Mechanisms for Online Marketplaces. EC 2019: 591-592 - [i10]Jason D. Hartline, Aleck C. Johnsen, Denis Nekipelov, Zihe Wang:
Inference from Auction Prices. CoRR abs/1902.06908 (2019) - [i9]Jason D. Hartline, Aleck C. Johnsen, Denis Nekipelov, Onno Zoeter:
Dashboard Mechanisms for Online Marketplaces. CoRR abs/1905.05750 (2019) - [i8]Yiding Feng, Ronen Gradwohl, Jason D. Hartline, Aleck C. Johnsen, Denis Nekipelov:
Bias-Variance Games. CoRR abs/1909.03618 (2019) - 2018
- [i7]Victor Chernozhukov, Denis Nekipelov, Vira Semenova, Vasilis Syrgkanis:
Plug-in Regularized Estimation of High-Dimensional Parameters in Nonlinear Semiparametric Models. CoRR abs/1806.04823 (2018) - 2017
- [j2]Denis Nekipelov:
Inference and auction design in online advertising. Commun. ACM 60(7): 70-79 (2017) - [c4]Darrell Hoy, Denis Nekipelov, Vasilis Syrgkanis:
Welfare Guarantees from Data. NIPS 2017: 3768-3777 - [i6]Pooya Jalaly, Denis Nekipelov, Éva Tardos:
Learning and Trust in Auction Markets. CoRR abs/1703.10672 (2017) - [i5]Shuchi Chawla, Jason D. Hartline, Denis Nekipelov:
Mechanism Redesign. CoRR abs/1708.04699 (2017) - 2016
- [c3]Shuchi Chawla, Jason D. Hartline, Denis Nekipelov:
A/B Testing of Auctions. EC 2016: 19-20 - [i4]Shuchi Chawla, Jason D. Hartline, Denis Nekipelov:
A/B Testing of Auctions. CoRR abs/1606.00908 (2016) - 2015
- [c2]Denis Nekipelov, Vasilis Syrgkanis, Éva Tardos:
Econometrics for Learning Agents. EC 2015: 1-18 - [i3]Darrell Hoy, Denis Nekipelov, Vasilis Syrgkanis:
Robust Data-Driven Efficiency Guarantees in Auctions. CoRR abs/1505.00437 (2015) - [i2]Denis Nekipelov, Vasilis Syrgkanis, Éva Tardos:
Econometrics for Learning Agents. CoRR abs/1505.00720 (2015) - 2014
- [j1]Denis Nekipelov:
Eliciting preferences of sponsored search advertisers: implications for mechanism design. SIGecom Exch. 13(1): 72-76 (2014) - [c1]Shuchi Chawla, Jason D. Hartline, Denis Nekipelov:
Mechanism design for data science. EC 2014: 711-712 - [i1]Shuchi Chawla, Jason D. Hartline, Denis Nekipelov:
Mechanism Design for Data Science. CoRR abs/1404.5971 (2014)
Coauthor Index
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