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Model Agnostic Sample Reweighting for Out-of-Distribution Learning., , , , , , and . CoRR, (2023)A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization., , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 24803-24829. PMLR, (2022)Load Forecasting Research Based on High Performance Intelligent Data Processing of Power Big Data., , , , and . ICACS, page 55-60. ACM, (2018)Distributionally Robust Optimization with Data Geometry., , , and . NeurIPS, (2022)ZIN: When and How to Learn Invariance Without Environment Partition?, , , and . NeurIPS, (2022)What Videos Are Similar with You?: Learning a Common Attributed Representation for Video Recommendation., , and . ACM Multimedia, page 597-606. ACM, (2014)EventLens: An Automatic Magazine Generating System for Social Media., , , , , and . HCI (13), volume 8016 of Lecture Notes in Computer Science, page 177-186. Springer, (2013)Power-law Distribution Aware Trust Prediction., , , , and . IJCAI, page 3564-3570. ijcai.org, (2018)Causally Regularized Learning with Agnostic Data Selection Bias., , , , and . ACM Multimedia, page 411-419. ACM, (2018)On Image Classification: Correlation v.s. Causality., , , and . CoRR, (2017)