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Incorporating Literals into Knowledge Graph Embeddings., , , , and . CoRR, (2018)Low-Cost Bayesian Methods for Fixing Neural Networks' Overconfidence. Tübingen University, Germany, (2023)base-search.net (ftunivtuebing:oai:publikationen.uni-tuebingen.de:10900/135535).Fast predictive uncertainty for classification with Bayesian deep networks., , and . UAI, volume 180 of Proceedings of Machine Learning Research, page 822-832. PMLR, (2022)A Critical Look At Tokenwise Reward-Guided Text Generation., , , , and . CoRR, (2024)On the Disconnect Between Theory and Practice of Overparametrized Neural Networks., , and . CoRR, (2023)Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks., , , , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 3034-3042. PMLR, (2024)How Useful is Intermittent, Asynchronous Expert Feedback for Bayesian Optimization?, , , , , and . CoRR, (2024)An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence., , and . NeurIPS, page 18789-18800. (2021)Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks., , and . NeurIPS, (2022)Being a Bit Frequentist Improves Bayesian Neural Networks., , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 529-545. PMLR, (2022)