| Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task Learning | Oct 16, 2019 | Multi-Task LearningRecommendation Systems | —Unverified | 0 |
| Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction | Oct 15, 2019 | Click-Through Rate PredictionMulti-Task Learning | —Unverified | 0 |
| More Powerful Selective Kernel Tests for Feature Selection | Oct 14, 2019 | feature selectionSelection bias | CodeCode Available | 0 |
| Co-Mining: Deep Face Recognition With Noisy Labels | Oct 1, 2019 | Face RecognitionSelection bias | —Unverified | 0 |
| Debiased Bayesian inference for average treatment effects | Sep 26, 2019 | Bayesian InferenceCausal Inference | CodeCode Available | 0 |
| Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback | Sep 8, 2019 | Domain AdaptationMeta-Learning | CodeCode Available | 0 |
| AlphaStock: A Buying-Winners-and-Selling-Losers Investment Strategy using Interpretable Deep Reinforcement Attention Networks | Jul 24, 2019 | Deep AttentionDeep Reinforcement Learning | —Unverified | 0 |
| To Model or to Intervene: A Comparison of Counterfactual and Online Learning to Rank from User Interactions | Jul 15, 2019 | Benchmarkingcounterfactual | CodeCode Available | 0 |
| Adjustment Criteria for Recovering Causal Effects from Missing Data | Jul 2, 2019 | Causal InferenceSelection bias | —Unverified | 0 |
| Statistical Learning from Biased Training Samples | Jun 28, 2019 | Selection bias | —Unverified | 0 |
