Denis Nekipelov

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 21

Top Topics

Content Creation

Online Marketplaces

Bias Variance Analysis

Top Venues

Publications

Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu
Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict? CoRR (2024)
Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu
How Bad is Top-K Recommendation under Competing Content Creators? CoRR (2023)
Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu
How Bad is Top-K Recommendation under Competing Content Creators? ICML (2023)
Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu
Learning from a Learning User for Optimal Recommendations. ICML (2022)
Yiding Feng, Ronen Gradwohl, Jason D. Hartline, Aleck C. Johnsen, Denis Nekipelov
Bias-Variance Games. EC (2022)
Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu
Learning from a Learning User for Optimal Recommendations. CoRR (2022)
Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu
Learning the Optimal Recommendation from Explorative Users. AAAI (2022)
Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu
Learning the Optimal Recommendation from Explorative Users. CoRR (2021)
Yiding Feng, Ekaterina Khmelnitskaya, Denis Nekipelov
Global Concavity and Optimization in a Class of Dynamic Discrete Choice Models. ICML (2020)
Jason D. Hartline, Aleck C. Johnsen, Denis Nekipelov, Zihe Wang
Inference from Auction Prices. SODA (2020)
Jason D. Hartline, Aleck C. Johnsen, Denis Nekipelov, Onno Zoeter
Dashboard Mechanisms for Online Marketplaces. EC (2019)
Jason D. Hartline, Aleck C. Johnsen, Denis Nekipelov, Onno Zoeter
Dashboard Mechanisms for Online Marketplaces. CoRR (2019)
Yiding Feng, Ronen Gradwohl, Jason D. Hartline, Aleck C. Johnsen, Denis Nekipelov
Bias-Variance Games. CoRR (2019)
Jason D. Hartline, Aleck C. Johnsen, Denis Nekipelov, Zihe Wang
Inference from Auction Prices. CoRR (2019)
Victor Chernozhukov, Denis Nekipelov, Vira Semenova, Vasilis Syrgkanis
Plug-in Regularized Estimation of High-Dimensional Parameters in Nonlinear Semiparametric Models. CoRR (2018)
Darrell Hoy, Denis Nekipelov, Vasilis Syrgkanis
Welfare Guarantees from Data. NIPS (2017)
Shuchi Chawla, Jason D. Hartline, Denis Nekipelov
Mechanism Redesign. CoRR (2017)
Pooya Jalaly, Denis Nekipelov, Éva Tardos
Learning and Trust in Auction Markets. CoRR (2017)
Denis Nekipelov
Inference and auction design in online advertising. Commun. ACM 60 (7) (2017)
Shuchi Chawla, Jason D. Hartline, Denis Nekipelov
A/B Testing of Auctions. CoRR (2016)
Shuchi Chawla, Jason D. Hartline, Denis Nekipelov
A/B Testing of Auctions. EC (2016)
Darrell Hoy, Denis Nekipelov, Vasilis Syrgkanis
Robust Data-Driven Efficiency Guarantees in Auctions. CoRR (2015)
Denis Nekipelov, Vasilis Syrgkanis, Éva Tardos
Econometrics for Learning Agents. EC (2015)
Denis Nekipelov, Vasilis Syrgkanis, Éva Tardos
Econometrics for Learning Agents. CoRR (2015)
Denis Nekipelov
Eliciting preferences of sponsored search advertisers: implications for mechanism design. SIGecom Exch. 13 (1) (2014)
Shuchi Chawla, Jason D. Hartline, Denis Nekipelov
Mechanism design for data science. EC (2014)
Shuchi Chawla, Jason D. Hartline, Denis Nekipelov
Mechanism Design for Data Science. CoRR (2014)