| CETransformer: Casual Effect Estimation via Transformer Based Representation Learning | Jul 19, 2021 | counterfactualRepresentation Learning | —Unverified | 0 |
| Challenging Gradient Boosted Decision Trees with Tabular Transformers for Fraud Detection at Booking.com | May 22, 2024 | Fraud DetectionSelection bias | —Unverified | 0 |
| Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine | Dec 19, 2024 | Selection biasTime Series | —Unverified | 0 |
| Choice Architecture, Privacy Valuations, and Selection Bias in Consumer Data | Aug 25, 2023 | Decision MakingSelection bias | —Unverified | 0 |
| ChorusCVR: Chorus Supervision for Entire Space Post-Click Conversion Rate Modeling | Feb 12, 2025 | counterfactualRecommendation Systems | —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 |
| Combating Label Noise With A General Surrogate Model For Sample Selection | Oct 16, 2023 | MemorizationSelection bias | —Unverified | 0 |
| Co-Mining: Deep Face Recognition With Noisy Labels | Oct 1, 2019 | Face RecognitionSelection bias | —Unverified | 0 |
| A Nonresponse Bias Correction using Nonrandom Followup with an Application to the Gender Entrepreneurship Gap | Apr 26, 2024 | AttributeSelection bias | —Unverified | 0 |
| Reducing Selection Bias in Large Language Models | Jan 29, 2024 | Decision MakingObject | —Unverified | 0 |
| Cross-Dataset Propensity Estimation for Debiasing Recommender Systems | Dec 22, 2022 | Causal InferenceQuantization | —Unverified | 0 |
| Causally Regularized Learning with Agnostic Data Selection Bias | Aug 22, 2017 | regressionSelection bias | —Unverified | 0 |
| Continual Causal Inference with Incremental Observational Data | Mar 3, 2023 | Causal Inferencecounterfactual | —Unverified | 0 |
| Continual Lifelong Causal Effect Inference with Real World Evidence | Jan 1, 2021 | counterfactualRepresentation Learning | —Unverified | 0 |
| A Primer on Domain Adaptation | Jan 27, 2020 | Domain AdaptationSelection bias | —Unverified | 0 |
| Automatic Debiased Learning from Positive, Unlabeled, and Exposure Data | Mar 8, 2023 | Binary ClassificationRecommendation Systems | —Unverified | 0 |
| Continuous Treatment Effects with Surrogate Outcomes | Jan 31, 2024 | Causal InferenceSelection bias | —Unverified | 0 |
| Contrastive Information Transfer for Pre-Ranking Systems | Jul 7, 2022 | Recommendation SystemsRe-Ranking | —Unverified | 0 |
| A Directional Rockafellar-Uryasev Regression | Nov 4, 2024 | Fairnessregression | —Unverified | 0 |
| DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation | Feb 13, 2023 | counterfactualMulti-Task Learning | —Unverified | 0 |
| A Causal Perspective on Loan Pricing: Investigating the Impacts of Selection Bias on Identifying Bid-Response Functions | Sep 7, 2023 | Causal InferenceSelection bias | —Unverified | 0 |
| Correcting for Selection Bias in Learning-to-rank Systems | Jan 29, 2020 | counterfactualLearning-To-Rank | —Unverified | 0 |
| Debiased Graph Neural Networks with Agnostic Label Selection Bias | Jan 19, 2022 | parameter estimationSelection bias | —Unverified | 0 |
| Causal Interventions-based Few-Shot Named Entity Recognition | May 3, 2023 | Few-Shot Learningfew-shot-ner | —Unverified | 0 |