| Be Causal: De-biasing Social Network Confounding in Recommendation | May 17, 2021 | Causal InferenceRecommendation Systems | —Unverified | 0 |
| A Likelihood Ratio Framework for High Dimensional Semiparametric Regression | Dec 6, 2014 | regressionSelection bias | —Unverified | 0 |
| Reducing Selection Bias in Large Language Models | Jan 29, 2024 | Decision MakingObject | —Unverified | 0 |
| A Nonresponse Bias Correction using Nonrandom Followup with an Application to the Gender Entrepreneurship Gap | Apr 26, 2024 | AttributeSelection bias | —Unverified | 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 |
| Bias-Tolerant Fair Classification | Jul 7, 2021 | ClassificationFairness | —Unverified | 0 |
| A Model-based Multi-Agent Personalized Short-Video Recommender System | May 3, 2024 | Recommendation SystemsReinforcement Learning (RL) | —Unverified | 0 |
| Correcting for Selection Bias in Learning-to-rank Systems | Jan 29, 2020 | counterfactualLearning-To-Rank | —Unverified | 0 |
| Breaking Ties: Regression Discontinuity Design Meets Market Design | Dec 31, 2020 | Mathregression | —Unverified | 0 |
| A Constructive GAN-based Approach to Exact Estimate Treatment Effect without Matching | Jun 13, 2022 | counterfactualCounterfactual Inference | —Unverified | 0 |
| CAMTA: Causal Attention Model for Multi-touch Attribution | Dec 21, 2020 | Selection bias | —Unverified | 0 |
| Can Many-Shot In-Context Learning Help LLMs as Evaluators? A Preliminary Empirical Study | Jun 17, 2024 | In-Context LearningSelection bias | —Unverified | 0 |
| Assisting Clinical Decisions for Scarcely Available Treatment via Disentangled Latent Representation | Jul 6, 2023 | counterfactualSelection bias | —Unverified | 0 |
| Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies | Oct 3, 2020 | Distributed OptimizationFederated Learning | —Unverified | 0 |
| A Single Iterative Step for Anytime Causal Discovery | Dec 14, 2020 | Causal DiscoverySelection bias | —Unverified | 0 |
| A Simple Way to Deal with Cherry-picking | Oct 11, 2018 | Selection biasTwo-sample testing | —Unverified | 0 |
| A Comparison of Resampling and Recursive Partitioning Methods in Random Forest for Estimating the Asymptotic Variance Using the Infinitesimal Jackknife | Jun 19, 2017 | Selection biasVariable Selection | —Unverified | 0 |
| Combating Label Noise With A General Surrogate Model For Sample Selection | Oct 16, 2023 | MemorizationSelection bias | —Unverified | 0 |
| Contextual Representation Anchor Network to Alleviate Selection Bias in Few-Shot Drug Discovery | Oct 28, 2024 | Drug DiscoveryFew-Shot Learning | —Unverified | 0 |
| Adjustment Criteria for Recovering Causal Effects from Missing Data | Jul 2, 2019 | Causal InferenceSelection bias | —Unverified | 0 |
| A semi-supervised learning framework for quantitative structure-activity regression modelling | Jan 7, 2020 | Drug Discoveryregression | —Unverified | 0 |
| Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task Learning | Oct 16, 2019 | Multi-Task LearningRecommendation Systems | —Unverified | 0 |
| Causal programming: inference with structural causal models as finding instances of a relation | May 4, 2018 | Causal DiscoveryCausal Inference | —Unverified | 0 |
| A Robust Classifier Under Missing-Not-At-Random Sample Selection Bias | May 25, 2023 | Robust classificationSelection bias | —Unverified | 0 |
| Challenging Gradient Boosted Decision Trees with Tabular Transformers for Fraud Detection at Booking.com | May 22, 2024 | Fraud DetectionSelection bias | —Unverified | 0 |
