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03/08/2023
Nonlinear Kalman Filtering with Reparametrization Gradients
We introduce a novel nonlinear Kalman filter that utilizes reparametriza...
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11/05/2022
Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions
With the advent and increasing consolidation of e-commerce, digital adve...
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07/15/2021
Mid-flight Forecasting for CPA Lines in Online Advertising
For Verizon MediaDemand Side Platform(DSP), forecasting of ad campaign p...
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07/12/2021
An Efficient Deep Distribution Network for Bid Shading in First-Price Auctions
Since 2019, most ad exchanges and sell-side platforms (SSPs), in the onl...
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02/20/2021
FM^2: Field-matrixed Factorization Machines for Recommender Systems
Click-through rate (CTR) prediction plays a critical role in recommender...
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09/19/2020
Bid Shading by Win-Rate Estimation and Surplus Maximization
This paper describes a new win-rate based bid shading algorithm (WR) tha...
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09/02/2020
Bid Shading in The Brave New World of First-Price Auctions
Online auctions play a central role in online advertising, and are one o...
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07/09/2020
Learning to Bid Optimally and Efficiently in Adversarial First-price Auctions
First-price auctions have very recently swept the online advertising ind...
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02/17/2020
A Sparse Deep Factorization Machine for Efficient CTR prediction
Click-through rate (CTR) prediction is a crucial task in online display ...
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11/12/2019
Time-Aware Prospective Modeling of Users for Online Display Advertising
Prospective display advertising poses a great challenge for large advert...
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07/24/2019
