明日からKDD2019の本会議なので聴講リストを整備した。マーケットデザイン・オンライン広告・バンディットアルゴリズムが中心。
招待講演
- Welfare Maximization in Online Two-sided Marketplaces
- 4 Perspectives in Human-Centered Machine Learning
- Addressing Challenges in Data Science: Scale, Skill Sets and Complexity
- Seven Years of Data Science at Airbnb
口頭発表
- Anomaly Detection for an E-commerce Pricing System
- Two-Sided Fairness for Repeated Matchings in Two-Sided Markets: A Case Study of a Ride-Hailing Platform
- Deep Landscape Forecasting for Real-time Bidding Advertising
- Optimizing Impression Counts for Outdoor Advertising
- Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching
- Scaling Multi-Armed Bandit Algorithms
- Scaling Multinomial Logistic Regression via Hybrid Parallelism
- Reserve Price Failure Rate Prediction with Header Bidding in Display Advertising
ポスター
- 150 successful Machine Learning models: 6 lessons learned at Booking.com
- Adversarial Matching of Dark Net Market Vendor Accounts
- AiAds: Automated and Intelligent Advertising System for Sponsored Search
- Applying Deep Learning To Airbnb Search
- Bid Optimization by Multivariable Control in Display Advertising
- Dynamic Pricing for Airline Ancillaries with Customer Context
- Finding Users Who Act Alike: Transfer Learning for Expanding Advertiser Audiences
- Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics
- Recurrent Neural Networks for Stochastic Control in Real-Time Bidding
- Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems
- Predicting Different Types of Conversions with Multi-Task Learning in Online Advertising
- Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives
- TV Advertisement Scheduling by Learning Expert Intentions
- A Unified Framework for Marketing Budget Allocation
