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Target-Aware Bayesian Inference: How to Beat Optimal Conventional Estimators.

, , , и . J. Mach. Learn. Res., (2020)

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Neural Ensemble Search for Uncertainty Estimation and Dataset Shift., , , , , и . NeurIPS, стр. 7898-7911. (2021)When Does Re-initialization Work?, , , , , , и . ICBINB, том 187 из Proceedings of Machine Learning Research, стр. 12-26. PMLR, (2022)Pre-training via Denoising for Molecular Property Prediction., , , , , , , , и . CoRR, (2022)Neural Ensemble Search for Performant and Calibrated Predictions., , , , , и . CoRR, (2020)Target-Aware Bayesian Inference: How to Beat Optimal Conventional Estimators., , , и . J. Mach. Learn. Res., (2020)LieTransformer: Equivariant self-attention for Lie Groups., , , , , и . CoRR, (2020)Pre-training via Denoising for Molecular Property Prediction., , , , , , , , и . ICLR, OpenReview.net, (2023)Provably Strict Generalisation Benefit for Equivariant Models., и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 2959-2969. PMLR, (2021)LieTransformer: Equivariant Self-Attention for Lie Groups., , , , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 4533-4543. PMLR, (2021)