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| Delayed Feedback Modeling for the Entire Space Conversion Rate Prediction | Nov 24, 2020 | Selection biasSurvival Analysis | —Unverified | 0 | 0 |
| A Model-based Multi-Agent Personalized Short-Video Recommender System | May 3, 2024 | Recommendation SystemsReinforcement Learning (RL) | —Unverified | 0 | 0 |
| 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 |
| A Likelihood Ratio Framework for High Dimensional Semiparametric Regression | Dec 6, 2014 | regressionSelection bias | —Unverified | 0 | 0 |
| CounterCLR: Counterfactual Contrastive Learning with Non-random Missing Data in Recommendation | Feb 8, 2024 | Contrastive Learningcounterfactual | —Unverified | 0 | 0 |
| Correcting the User Feedback-Loop Bias for Recommendation Systems | Sep 13, 2021 | Recommendation SystemsSelection bias | —Unverified | 0 | 0 |
| Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms | Dec 24, 2017 | Causal Inferencecounterfactual | —Unverified | 0 | 0 |
| Correcting for Selection Bias in Learning-to-rank Systems | Jan 29, 2020 | counterfactualLearning-To-Rank | —Unverified | 0 | 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 | 0 |
| Contrastive Learning for Recommender System | Jan 5, 2021 | Collaborative FilteringContrastive Learning | —Unverified | 0 | 0 |
| Algorithms are not neutral: Bias in collaborative filtering | May 3, 2021 | Collaborative FilteringDecision Making | —Unverified | 0 | 0 |
| Addressing Blind Guessing: Calibration of Selection Bias in Multiple-Choice Question Answering by Video Language Models | Oct 18, 2024 | FairnessMultiple-choice | —Unverified | 0 | 0 |
| A Constructive GAN-based Approach to Exact Estimate Treatment Effect without Matching | Jun 13, 2022 | counterfactualCounterfactual Inference | —Unverified | 0 | 0 |
| Contrastive Information Transfer for Pre-Ranking Systems | Jul 7, 2022 | Recommendation SystemsRe-Ranking | —Unverified | 0 | 0 |
| Continuous Treatment Effects with Surrogate Outcomes | Jan 31, 2024 | Causal InferenceSelection bias | —Unverified | 0 | 0 |