{"total":29,"rows":[{"id":"2106.02172","title":"Learning from Counterfactual Links for Link Prediction","created":"2021-06-03","cited_by_count":69,"area":null},{"id":"2110.00855","title":"SurvTRACE: Transformers for Survival Analysis with Competing Events","created":"2021-10-02","cited_by_count":41,"area":null},{"id":"2105.13623","title":"Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation","created":"2021-05-28","cited_by_count":28,"area":null},{"id":"2109.14509","title":"PAC-Bayes Information Bottleneck","created":"2021-09-29","cited_by_count":28,"area":null},{"id":"2205.04701","title":"StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random","created":"2022-05-10","cited_by_count":24,"area":null},{"id":"2203.10258","title":"TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations","created":"2022-03-19","cited_by_count":18,"area":null},{"id":"2206.14719","title":"Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision","created":"2022-06-29","cited_by_count":18,"area":null},{"id":"2311.17112","title":"Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model","created":"2023-11-28","cited_by_count":15,"area":null},{"id":"2108.06889","title":"Causal Incremental Graph Convolution for Recommender System Retraining","created":"2021-08-16","cited_by_count":14,"area":null},{"id":"2210.11039","title":"Entire Space Counterfactual Learning for Reliable Content Recommendations","created":"2022-10-20","cited_by_count":13,"area":null},{"id":"2207.10796","title":"Multiple Robust Learning for Recommendation","created":"2022-07-09","cited_by_count":11,"area":null},{"id":"2406.17182","title":"Debiased Recommendation with Noisy Feedback","created":"2024-06-24","cited_by_count":8,"area":null},{"id":"2403.00817","title":"Doubly Calibrated Estimator for Recommendation on Data Missing Not At Random","created":"2024-02-26","cited_by_count":7,"area":null},{"id":"2206.00568","title":"RMT-Net: Reject-aware Multi-Task Network for Modeling Missing-not-at-random Data in Financial Credit Scoring","created":"2022-06-01","cited_by_count":5,"area":null},{"id":"2405.15403","title":"Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random","created":"2024-05-24","cited_by_count":4,"area":null},{"id":"2308.04706","title":"Pareto Invariant Representation Learning for Multimedia Recommendation","created":"2023-08-09","cited_by_count":3,"area":null},{"id":"2407.19302","title":"IBMEA: Exploring Variational Information Bottleneck for Multi-modal Entity Alignment","created":"2024-07-27","cited_by_count":3,"area":null},{"id":"2303.12973","title":"Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation","created":"2023-03-23","cited_by_count":2,"area":null},{"id":"2308.08461","title":"CDR: Conservative Doubly Robust Learning for Debiased Recommendation","created":"2023-08-13","cited_by_count":2,"area":null},{"id":"2404.19620","title":"Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference","created":"2024-04-30","cited_by_count":2,"area":null},{"id":"2201.04952","title":"REST: Debiased Social Recommendation via Reconstructing Exposure Strategies","created":"2022-01-13","cited_by_count":1,"area":null},{"id":"2211.09072","title":"Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders","created":"2022-11-16","cited_by_count":1,"area":null},{"id":"2305.15431","title":"Exploring and Exploiting Data Heterogeneity in Recommendation","created":"2023-05-21","cited_by_count":1,"area":null},{"id":"2206.03851","title":"Reconsidering Learning Objectives in Unbiased Recommendation with Unobserved Confounders","created":"2022-06-07","cited_by_count":0,"area":null},{"id":"2308.08158","title":"Deep Generative Imputation Model for Missing Not At Random Data","created":"2023-08-16","cited_by_count":0,"area":null},{"id":"2311.07797","title":"Explainable History Distillation by Marked Temporal Point Process","created":"2023-11-13","cited_by_count":0,"area":null},{"id":"2506.07517","title":"Addressing Correlated Latent Exogenous Variables in Debiased Recommender Systems","created":"2025-06-09","cited_by_count":0,"area":null},{"id":"2601.05590","title":"A Causal Information-Flow Framework for Unbiased Learning-to-Rank","created":"2026-01-09","cited_by_count":0,"area":null},{"id":"2605.11145","title":"Debiasing Message Passing to Mitigate Popularity Bias in GNN-based Collaborative Filtering","created":"2026-05-11","cited_by_count":0,"area":null}],"next_cursor":null}