CQs for Ad Market + Research Papers (3/1)

JavaScript isn't enabled in your browser, so this file can't be opened. Enable and reload.

Please answer these questions concisely.

Email *

What is your name? *

[Optimal Auctions through DL] What incentive property is provided by RegretNet?

(Optional) [Optimal Auctions through DL] What motivates the authors to use deep learning to design optimal auctions?

[Reinforcement MD] Given the use of neural networks to model bidder behavior, what are the specific features or data inputs that significantly impact the accuracy of predictions?

(Optional) [Reinforcement MD] Reflecting on the implementation of this framework in Baidu's online ad auction system and its reported success, what factors do you think contributed to its effectiveness?

[Auction Design for ROI-Constrained Buyers] How does the presence of financially constrained buyers influence the likelihood and extent of shading in second-price auctions?

(Optional) [Auction Design for ROI-Constrained Buyers] Discuss the theoretical implications of designing auctions that cater to symmetric and asymmetric buyers, highlighting potential differences in optimal auction mechanisms.

Send me a copy of my responses.

Submit

Clear form

Never submit passwords through Google Forms.

reCAPTCHA

Privacy Terms

This content is neither created nor endorsed by Google. Report Abuse - Terms of Service - Privacy Policy

Forms