Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models
Unbiased Lift-based Bidding System
Dual Learning Algorithm forDelayed Feedback in Display Advertising
fatigue-aware ad creative selection
Team Optuna Developers’ Method for Black-Box Optimization Challenge 2020
Simple and Scalable Parallelized Bayesian Optimization
Dual Learning Algorithm for Delayed Feedback in Display Advertising
花札におけるナッシュ均衡戦略の計算
Warm Starting Method for CMA-ES
Uplift Modelling for Location-Based Advertising
Counterfactual Cross Validation
ハイパーパラメータ最適化における実用的な早期停止アルゴリズムの考察
ベイズ最適化における代理モデルの性能比較
Black-box最適化に対するBudgetを考慮した探索空間の初期化
In-app Purchase Prediction Using Bayesian Personalized Dwell Day Ranking
Context-Regularized Neural Collaborative Filtering for Game App Recommendation
Domain Adaptation Neural Networkを用いた広告クリック予測
Efficient Counterfactual Learning from Bandit Feedback
非定常多腕バンディットアルゴリズムを用いたハイパーパラメータ最適化フレームワークの提案
Efficient Counterfactual Learning from Exploration Feedback
Optimal Bidding Strategy for Brand Advertising