EFFICIENT DEEP DISTRIBUTION NETWORK FOR BID SHADING IN FIRST-PRICE AUCTIONS
Zhou, T., et. al. @ KDD 2021
Since 2019, most ad exchanges and sell-side platforms (SSPs), in the online advertising industry, shifted
NEW PAPER ACCEPTED FOR PUBLICATION
Our paper “Efficient deep distribution network for bid shading in First-Price Auctions” has been accepted for publication at the KDD 2021 conference!
PROSPECTIVE MODELING OF USERS FOR ONLINE DISPLAY ADVERTISING VIA DEEP TIME-AWARE MODEL
Gligorijevic, Dj., et. al. @ CIKM 2020
Prospective display advertising poses a particular challenge for large advertising platforms.
BID SHADING IN THE BRAVE NEW WORLD OF FIRST-PRICE AUCTIONS
Gligorijevic, Dj., et. al. @ CIKM 2020
Online auctions play a central role in online advertising, and are one of the main reasons for the industry’s scalability and growth.
NEW DATASET SHARED V2
We shared prospective conversion prediction datasets of time-ordered user activity trails collected across many different sources on the Web. This dataset is specifically designed for prospective advertising, a specific form of targeting where advertisers wish to target only potential and new users. In the updated version of the dataset retargeting signals are included in the additional…
BID SHADING BY AUCTION CLEARING PRICE PREDICTION AND FAST SURPLUS MAXIMIZATION SEARCH
Pan, S., et. al. @ KDD-AdKDD 2020
This paper describes a new win-rate based bid shading algorithm (WR) that does not rely on the minimum
TIME-AWARE USER EMBEDDINGS AS A SERVICE
Pavlovski, M., et. al. @ KDD 2020
Digital media companies typically collect rich data in the form of sequences of online user activities.
USE OF DISEASE EMBEDDING TECHNIQUE TO PREDICT THE RISK OF PROGRESSION TO END-STAGE RENAL DISEASE
Zhou, F., et .al. @ J. Biomed. Inform.
The accurate prediction of progression of Chronic Kidney Disease (CKD) to End Stage Renal Disease (ESRD)
OPTIMIZING CLINICAL TRIALS RECRUITMENT VIA DEEP LEARNING
Gligorijevic, J., Gligorijevic, Dj., et. al. @ J Am Med Inform Assoc
Clinical trials, prospective research studies on human participants carried out by a distributed team of
TIME-AWARE PROSPECTIVE MODELING OF USERS FOR ONLINE DISPLAY ADVERTISING
Gligorijevic, Dj., et. al. @ KDD-AdKDD 2019
Prospective display advertising poses a great challenge for large advertising platforms as the strongest