| Deep Causal Learning: Representation, Discovery and Inference | Nov 7, 2022 | Causal DiscoveryCausal Inference | —Unverified | 0 | 0 |
| Selection and the Distribution of Female Hourly Wages in the U.S | Dec 21, 2018 | Selection bias | —Unverified | 0 | 0 |
| Bias-Tolerant Fair Classification | Jul 7, 2021 | ClassificationFairness | —Unverified | 0 | 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 | 0 |
| Addressing Distribution Shift in RTB Markets via Exponential Tilting | Aug 14, 2023 | Binary ClassificationSelection bias | —Unverified | 0 | 0 |
| Machine Learning Inference on Inequality of Opportunity | Jun 10, 2022 | BIG-bench Machine LearningModel Selection | —Unverified | 0 | 0 |
| Debiased Graph Neural Networks with Agnostic Label Selection Bias | Jan 19, 2022 | parameter estimationSelection bias | —Unverified | 0 | 0 |
| DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation | Feb 13, 2023 | counterfactualMulti-Task Learning | —Unverified | 0 | 0 |
| Cross-Dataset Propensity Estimation for Debiasing Recommender Systems | Dec 22, 2022 | Causal InferenceQuantization | —Unverified | 0 | 0 |
| Be Causal: De-biasing Social Network Confounding in Recommendation | May 17, 2021 | Causal InferenceRecommendation Systems | —Unverified | 0 | 0 |
