Denis Nekipelov

According to our database, Denis Nekipelov authored at least 18 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict?

Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

How Bad is Top-K Recommendation under Competing Content Creators?

Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu

Proceedings of the International Conference on Machine Learning, 2023

2022

Bias-Variance Games.

Yiding Feng, Ronen Gradwohl, Jason D. Hartline, Aleck C. Johnsen, Denis Nekipelov

Proceedings of the EC '22: The 23rd ACM Conference on Economics and Computation, Boulder, CO, USA, July 11, 2022

Learning from a Learning User for Optimal Recommendations.

Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu

Proceedings of the International Conference on Machine Learning, 2022

Learning the Optimal Recommendation from Explorative Users.

Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Inference from Auction Prices.

Jason D. Hartline, Aleck C. Johnsen, Denis Nekipelov, Zihe Wang

Proceedings of the 2020 ACM-SIAM Symposium on Discrete Algorithms, 2020

Global Concavity and Optimization in a Class of Dynamic Discrete Choice Models.

Yiding Feng, Ekaterina Khmelnitskaya, Denis Nekipelov

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Dashboard Mechanisms for Online Marketplaces.

Jason D. Hartline, Aleck C. Johnsen, Denis Nekipelov, Onno Zoeter

Proceedings of the 2019 ACM Conference on Economics and Computation, 2019

2018

Plug-in Regularized Estimation of High-Dimensional Parameters in Nonlinear Semiparametric Models.

Victor Chernozhukov, Denis Nekipelov, Vira Semenova, Vasilis Syrgkanis

CoRR, 2018

2017

Mechanism Redesign.

Shuchi Chawla, Jason D. Hartline, Denis Nekipelov

CoRR, 2017

Learning and Trust in Auction Markets.

Pooya Jalaly, Denis Nekipelov, Éva Tardos

CoRR, 2017

Inference and auction design in online advertising.

Denis Nekipelov

Commun. ACM, 2017

Welfare Guarantees from Data.

Darrell Hoy, Denis Nekipelov, Vasilis Syrgkanis

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

A/B Testing of Auctions.

Shuchi Chawla, Jason D. Hartline, Denis Nekipelov

Proceedings of the 2016 ACM Conference on Economics and Computation, 2016

2015

Robust Data-Driven Efficiency Guarantees in Auctions.

Darrell Hoy, Denis Nekipelov, Vasilis Syrgkanis

CoRR, 2015

Econometrics for Learning Agents.

Denis Nekipelov, Vasilis Syrgkanis, Éva Tardos

Proceedings of the Sixteenth ACM Conference on Economics and Computation, 2015

2014

Eliciting preferences of sponsored search advertisers: implications for mechanism design.

Denis Nekipelov

SIGecom Exch., 2014

Mechanism design for data science.

Shuchi Chawla, Jason D. Hartline, Denis Nekipelov

Proceedings of the ACM Conference on Economics and Computation, 2014