Tag: paper

19 items with this tag.

Mar 04, 2026
Probabilistic Artificial Intelligence
- paper
Jan 28, 2026
A Unified Solution to Constrained Bidding in Online Display Advertising
- paper
Jan 28, 2026
Abacus Self-Supervised Event Counting-Aligned Distributional Pretraining for Sequential User Modeling
- paper
Jan 28, 2026
Bid2X Revealing Dynamics of Bidding Environment in Online Advertising from A Foundation Model Lens
- paper
Dec 27, 2025
A Unified Knowledge-Distillation and Semi-Supervised Learning Framework to Improve Industrial Ads Delivery Systems
- paper
Dec 27, 2025
Ad Click Prediction a View from the Trenches
- paper
Dec 27, 2025
An Online Multi-task Learning Framework for Google Feed Ads Auction Models
- paper
Dec 27, 2025
Handling many conversions per click in modeling delayed feedback
- paper
Dec 27, 2025
Towards the Better Ranking Consistency A Multi-task Learning Framework for Early Stage Ads Ranking
- paper
Nov 27, 2025
Stability and Controllability of Revenue Systems via the Bode Approach
- paper
Nov 14, 2025
Counterfactual Reasoning and Learning Systems The Example of Computational Advertising
- paper
Oct 22, 2025
Overlapping Experiment InfrastructureMore, Better, Faster Experimentation
- paper
Oct 22, 2025
Improving Ad Click Prediction by Considering Non-displayed Events
- paper
Sep 23, 2025
User Value Prediction under Zero-Inflated and Long-Tailed Distributions in Mobile Advertising
- paper
Sep 23, 2025
Wide & Deep Learning for Recommender Systems
- deepctr
- paper
Sep 23, 2025
Bid-Aware Active Learning in Real-Time Bidding for Display Advertising
- cold-start
- paper
Sep 23, 2025
Bid-aware Gradient Descent for Unbiased Learning with Censored Data in Display Advertising
- paper
Sep 23, 2025
An Engagement-Based Customer Lifetime Value System for E-commerce
- paper
Sep 23, 2025
Balansowanie loss'ów w multi-objective problems

Quartz 4

Explorer

Tag: paper

Probabilistic Artificial Intelligence

A Unified Solution to Constrained Bidding in Online Display Advertising

Abacus Self-Supervised Event Counting-Aligned Distributional Pretraining for Sequential User Modeling

Bid2X Revealing Dynamics of Bidding Environment in Online Advertising from A Foundation Model Lens

A Unified Knowledge-Distillation and Semi-Supervised Learning Framework to Improve Industrial Ads Delivery Systems

Ad Click Prediction a View from the Trenches

An Online Multi-task Learning Framework for Google Feed Ads Auction Models

Handling many conversions per click in modeling delayed feedback

Towards the Better Ranking Consistency A Multi-task Learning Framework for Early Stage Ads Ranking

Stability and Controllability of Revenue Systems via the Bode Approach

Counterfactual Reasoning and Learning Systems The Example of Computational Advertising

Overlapping Experiment InfrastructureMore, Better, Faster Experimentation

Improving Ad Click Prediction by Considering Non-displayed Events

User Value Prediction under Zero-Inflated and Long-Tailed Distributions in Mobile Advertising

Wide & Deep Learning for Recommender Systems

Bid-Aware Active Learning in Real-Time Bidding for Display Advertising

Bid-aware Gradient Descent for Unbiased Learning with Censored Data in Display Advertising

An Engagement-Based Customer Lifetime Value System for E-commerce

Balansowanie loss'ów w multi-objective problems