Quartz 4

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Folder: sources/papers

92 items under this folder.

Dec 27, 2025
A Feedback Shift Correction in Predicting Conversion Rates under Delayed Feedback
Dec 27, 2025
A Unified Knowledge-Distillation and Semi-Supervised Learning Framework to Improve Industrial Ads Delivery Systems
- paper
Dec 27, 2025
Abacus Self-Supervised Event Counting-Aligned Distributional Pretraining for Sequential User Modeling
- paper
Dec 27, 2025
Ad Click Prediction a View from the Trenches
- paper
Dec 27, 2025
Adapting Constrained Markov Decision Process for OCPC Bidding with Delayed Conversions
Dec 27, 2025
An Online Multi-task Learning Framework for Google Feed Ads Auction Models
- paper
Dec 27, 2025
Forecasting Conversion Rate for Real Time CPC Bidding With Target ROAS
Dec 27, 2025
Handling many conversions per click in modeling delayed feedback
- paper
Dec 27, 2025
Modeling Delayed Feedback in Display Advertising
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 30, 2025
Addressing Distribution Shift in RTB Markets via Exponential Tilting
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
Instance-Conditional Timescales of Decay for Non-Stationary Learning
Sep 23, 2025
Label differential privacy via clustering
Sep 23, 2025
Layer Normalization
Sep 23, 2025
Learning to Hash with Binary Deep Neural Network
Sep 23, 2025
Learning to bid optimally and efficiently in adversarial first-price auctions
Sep 23, 2025
Learning with Noisy Labels - paper
Sep 23, 2025
LiRank Industrial Large Scale Ranking Models at LinkedIn
Sep 23, 2025
MEOW A space-efficient nonparametric bid shading algorithm
Sep 23, 2025
Neural Thompson Sampling
Sep 23, 2025
On the Factory Floor ML Engineering for Industrial-Scale Ads Recommendation Models
- Google
Sep 23, 2025
Optimal Bidding Strategy without Exploration in Real-time Bidding
Sep 23, 2025
Optimal real-time bidding for display advertising
Sep 23, 2025
Optimising Contextual Advertising Through Real-Time Bidding With Budget Constraints
Sep 23, 2025
Optimization in Online Advertising via Simultaneous Adaptive Rate and Price Feedback Control
Sep 23, 2025
Practical Lessons from Predicting Clicks on Ads at Facebook
- facebook
- FAIR
Sep 23, 2025
Predicting Clicks Estimating the Click-Through Rate for New Ads
Sep 23, 2025
Real-Time Bidding by Reinforcement Learning in Display Advertising
Sep 23, 2025
STAR Sparse Transformer-based Action Recognition
Sep 23, 2025
SUBIC A supervised, structured binary code for image search
Sep 23, 2025
Smart Pacing for Effective Online Ad Campaign Optimization
Sep 23, 2025
Spreading vectors for similarity search
- facebook
- FAIR
Sep 23, 2025
Thompson Sampling for Contextual Bandits with Linear Payoffs
Sep 23, 2025
Transformers in Time-series Analysis A Tutorial
Sep 23, 2025
TrueSkill A Bayesian Skill Rating System
Sep 23, 2025
Understanding new tasks through the lens of training data via exponential tilting
Sep 23, 2025
User Value Prediction under Zero-Inflated and Long-Tailed Distributions in Mobile Advertising
- paper
Sep 23, 2025
Web-scale bayesian click-through rate prediction for sponsored search advertising in Microsoft’s Bing search engine
Sep 23, 2025
Wide & Deep Learning for Recommender Systems
- deepctr
- paper
Sep 23, 2025
user2vec user modeling using LSTM networks
Sep 23, 2025
Bid shading by win-rate estimation and surplus maximization
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
Calibrated Chaos Variance Between Runs of Neural Network Training is Harmless and Inevitable
Sep 23, 2025
Calibration in Deep Learning A Survey of the State-of-the-Art
Sep 23, 2025
Causal Models for Real Time Bidding with Repeated User Interactions
Sep 23, 2025
Contextual Bandits with Linear Payoff Functions
Sep 23, 2025
Deep Hashing for Compact Binary Codes Learning
Sep 23, 2025
Deep Learning of Binary Hash Codes for Fast Image Retrieval
Sep 23, 2025
Deep Learning with Label Differential Privacy
Sep 23, 2025
Deep Supervised Hashing for Fast Image Retrieval
Sep 23, 2025
Display Advertising with Real-Time Bidding (RTB) and Behavioural Targeting
Sep 23, 2025
Distributed Differential Privacy via Shuffling
Sep 23, 2025
Dynamics of bid optimization in online advertisement auctions
Sep 23, 2025
EGA-V1 Unifying Online Advertising with End-to-End Learning
Sep 23, 2025
Estimating Conversion Rate in Display Advertising from Past Performance Data
Sep 23, 2025
Evidence of a predictive coding hierarchy in the human brain listening to speech
Sep 23, 2025
Exploration with Model Uncertainty at Extreme Scale in Real-Time Bidding
Sep 23, 2025
Factor graphs and the sum-product algorithm
Sep 23, 2025
FakeCatcher Detection of Synthetic Portrait Videos using Biological Signals
- signal-processing
Sep 23, 2025
Feedback Control in Programmatic Advertising The Frontier of Optimization in Real-Time Bidding
Sep 23, 2025
Feedback Control of Real-Time Display Advertising
Sep 23, 2025
Fixed point label attribution for real-time bidding
Sep 23, 2025
Fledging Will Continue Until Privacy Improves Empirical Analysis of Google's Privacy-Preserving Targeted Advertising
Sep 23, 2025
Generative Large-Scale Pre-trained Models for Automated Ad Bidding Optimization
Sep 23, 2025
Generative Sequential Recommendation with GPTRec
Sep 23, 2025
GrokNet Unified Computer Vision Model Trunk and Embeddings For Commerce
- facebook
- FAIR
Sep 23, 2025
Heterogeneous rarity patterns drive price dynamics in NFT collections
Sep 23, 2025
How to DP-fy ML A Practical Guide to Machine Learning with Differential Privacy
Sep 23, 2025
A Bayesian Multi-Armed Bandit algorithm for Bid Shading in Online Display Advertising
Sep 23, 2025
A Contextual-Bandit Approach to Personalized News Article Recommendation
Sep 23, 2025
A Practical Guide to Budget Pacing Algorithms in Digital Advertising
Sep 23, 2025
A Practical Method for Solving Contextual Bandit Problems Using Decision Trees
Sep 23, 2025
A Short Survey on Importance Weighting for Machine Learning
Sep 23, 2025
A Survey on Bid Optimization in Real-Time Bidding Display Advertising
Sep 23, 2025
A Tutorial Introduction to Heterogeneous Treatment Effect Estimation with Meta-learners
Sep 23, 2025
A family of algorithms for approximate Bayesian inference
Sep 23, 2025
Agent Competition Double-Auction Mechanism
Sep 23, 2025
AiAds Automated and Intelligent Advertising System for Sponsored Search
Sep 23, 2025
An Automated and Data-Driven Bidding Strategy for Online Auctions
Sep 23, 2025
An Elementary Introduction to Kalman Filtering
Sep 23, 2025
An Engagement-Based Customer Lifetime Value System for E-commerce
- paper
Sep 23, 2025
An efficient deep distribution network for bid shading in first-price auctions
Sep 23, 2025
Attention Is All You Need
Sep 23, 2025
Attribution Modeling Increases Efficiency of Bidding in Display Advertising
Sep 23, 2025
AutoInt Automatic Feature Interaction Learning via Self-Attentive Neural Networks
Sep 23, 2025
Behavior Sequence Transformer for E-commerce Recommendation in Alibaba
Sep 23, 2025
Better computer vision models by combining Transformers and convolutional neural networks

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