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Sample-efficient private data release for Lipschitz functions under sparsity assumptions., , , , , and . CoRR, (2023)How rotational invariance of common kernels prevents generalization in high dimensions., , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 2804-2814. PMLR, (2021)Hidden yet quantifiable: A lower bound for confounding strength using randomized trials., , , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 1045-1053. PMLR, (2024)Fast rates for noisy interpolation require rethinking the effects of inductive bias., , , and . CoRR, (2022)Strong inductive biases provably prevent harmless interpolation., , , and . ICLR, OpenReview.net, (2023)Tight bounds for maximum ℓ1-margin classifiers., , and . ALT, volume 237 of Proceedings of Machine Learning Research, page 1055-1112. PMLR, (2024)Hidden yet quantifiable: A lower bound for confounding strength using randomized trials., , , and . CoRR, (2023)Tight bounds for minimum l1-norm interpolation of noisy data., , and . CoRR, (2021)Efficient Smoothing of Dilated Convolutions for Image Segmentation., , , and . CoRR, (2019)Fast rates for noisy interpolation require rethinking the effect of inductive bias., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 5397-5428. PMLR, (2022)