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Sorting out Lipschitz function approximation

, , and . (2018)cite arxiv:1811.05381Comment: 8 main pages, 21 pages total, 17 figures. Accepted at ICML 2019.

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Adversarial Distillation of Bayesian Neural Network Posteriors., , , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 5177-5186. PMLR, (2018)Sorting Out Lipschitz Function Approximation., , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 291-301. PMLR, (2019)Sorting out Lipschitz function approximation, , and . (2018)cite arxiv:1811.05381Comment: 8 main pages, 21 pages total, 17 figures. Accepted at ICML 2019.Lookahead Optimizer: k steps forward, 1 step back., , , and . NeurIPS, page 9593-9604. (2019)Optimizing Data Collection for Machine Learning., , , , and . NeurIPS, (2022)Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting., , , , , , , and . CoRR, (2023)Aggregated Momentum: Stability Through Passive Damping., , , and . ICLR (Poster), OpenReview.net, (2019)Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse., , , and . NeurIPS, page 9403-9413. (2019)Theoretical bounds on estimation error for meta-learning., , , , and . ICLR, OpenReview.net, (2021)ATT3D: Amortized Text-to-3D Object Synthesis., , , , , , , , , and . ICCV, page 17900-17910. IEEE, (2023)