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It's an Alignment, Not a Trade-off: Revisiting Bias and Variance in Deep Models., , , , and . CoRR, (2023)EmbedDistill: A Geometric Knowledge Distillation for Information Retrieval., , , , , , , , and . CoRR, (2023)Post-hoc estimators for learning to defer to an expert., , , , and . NeurIPS, (2022)On Bias-Variance Alignment in Deep Models., , , , and . ICLR, OpenReview.net, (2024)Plugin estimators for selective classification with out-of-distribution detection., , , and . ICLR, OpenReview.net, (2024)An Adaptive Test of Independence with Analytic Kernel Embeddings., , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 1742-1751. PMLR, (2017)Kernel Mean Matching for Content Addressability of GANs., , , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 3140-3151. PMLR, (2019)Managing Offline Educational Web Contents with Search Engine Tools., , and . ICADL, volume 4822 of Lecture Notes in Computer Science, page 444-453. Springer, (2007)Worst-Case Risk Quantification under Distributional Ambiguity using Kernel Mean Embedding in Moment Problem., , , and . CDC, page 3457-3463. IEEE, (2020)Learning Kernel Tests Without Data Splitting., , , and . NeurIPS, (2020)