| 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 |
