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Paper
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November 15, 2021
IEEE Big Data 2021 (Poster)

BAN:Large Scale Brand ANonymization for Creative Recommendation Via Label Light Adaptation

Paper
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November 9, 2021
Engineering Applications of Artificial Intelligence

Transfer-Based Taxonomy Induction Over Concept Labels

Paper
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October 27, 2021
IEEE Big Data 2021

Dynamic Length Factorization Machinesfor CTR Prediction

Paper
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October 27, 2021
IEEE Big Data 2021

Mitigating Divergence of Latent Factors via Dual Ascent for Low Latency Event Prediction Models

Paper
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August 11, 2021
ACM Multimedia 2021 (Industrial Track)

Distantly Supervised Semantic Text Detection and Recognition for Broadcast Sports Videos Understanding

Paper
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August 10, 2021
CIKM 2021

TSI: An Ad Text Strength Indicator Using Text-to-CTR and Semantic-Ad-Similarity

Paper
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August 10, 2021
CIKM 2021 (applied research track)

Unbiased Filtering of Accidental Clicks in Verizon Media Native Advertising

Paper
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July 22, 2021
ICCV 2021

UnitedFace: A Unified Perspective on Margin Softmax Losses for Face Recognition

Paper
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May 28, 2021

An Evaluation and Annotation Methodology for Product Category Matching in E-Commerce

Paper
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May 17, 2021
KDD 2021

MEOW: A Space-Efficient Non-Parametric Bid Shading Algorithm

Paper
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May 17, 2021
KDD 2021

VisualTextRank: Unsupervised Graph-Based Content Extraction for Automating Ad Text to Image Search

Paper
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May 17, 2021
KDD 2021

Efficient Deep Distribution Network for Bid Shading in First-Price Auctions

Paper
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April 15, 2021
SIGIR 2021 (short paper)

Propensity-Scored Probabilistic Label Trees

Paper
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March 12, 2021
Data Mining and Knowledge Discovery

Efficient Set-Valued Prediction in Multi-Class Classification

Paper
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January 24, 2021
ACC 2021

Adaptive Bid Shading Optimization of First-Price Ad Inventory

Paper
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January 24, 2021
ACC 2021

Adaptive Seasonality Estimation for Campaign Optimization in Online Advertising

Paper
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January 22, 2021
AISTATS 2021

Online Probabilistic Label Trees

Paper
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January 15, 2021
WWW 2021

FM^2: Field-Matrixed Factorization Machines for Recommender Systems

Paper
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January 15, 2021
WWW 2021

Incrementality Testing in Programmatic Advertising: Enhanced Precision with Double-Blind Designs

Paper
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January 12, 2021
ICLR 2021

Local Search Algorithms for Rank-Constrained Convex Optimization

Paper
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December 8, 2020
COLING 2020

Effective Few Shot Classification with Transfer Learning

Paper
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November 13, 2020
AAAI 2021

Empirical Best Practices on Using Product-Specific Schema.org

Paper
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November 12, 2020
ASONAM 2020

Locally Constructing Product Taxonomies from Scratch Using Representation Learning

Paper
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October 20, 2020
IEEE BigData 2020, Industry and Government program

Dynamic Creative Optimization in Verizon Media Native Advertising

Paper
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October 16, 2020
WSDM 2021

DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving

Paper
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October 15, 2020
IEEE Control Systems Magazine

Feedback Control in Programmatic Advertising: The Frontier of Optimization in Real-Time Bidding

Paper
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September 15, 2020
EMNLP 2020

TNT: Text Normalization Based Pre-Training of Transformers for Content Moderation

Paper
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July 24, 2020
CIKM 2020

Prospective Modeling of Users for Online Display Advertising via Deep Time-Aware Model

Paper
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July 24, 2020
CIKM 2020

Learning to Create Better Ads: Generation and Ranking Approaches for Ad Creative Refinement

Paper
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July 24, 2020
CIKM 2020

Bid Shading in the Brave New World of First-Price Auctions

Paper
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July 16, 2020
CIKM 2020

Leveraging User Email Actions to Improve Ad-Close Prediction

Paper
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July 3, 2020
AdKDD 2020

Bid Shading by Auction Clearing Price Prediction and Fast Surplus Maximization Search

Paper
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July 3, 2020
AdKDD 2020

Advertising Incrementality Measurement Using Controlled Geo-Experiments: The Universal App Campaign Case Study

Paper
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July 3, 2020
Nature Machine Intelligence

Elucidation of DNA Methylation on N6-Adenine with Deep Learning

Paper
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May 31, 2020
ICML 2020

Sparse Convex Optimization via Adaptively Regularized Hard Thresholding

Paper
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May 25, 2020
EDGE 2020

Edge Architecture for Dynamic Data Stream Analysis and Manipulation

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