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Efficient and Invariant Regularisation with Application to Computer Graphics

. University of Queensland, Australia, (2008)

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Monge blunts Bayes: Hardness Results for Adversarial Training., , , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 1406-1415. PMLR, (2019)Efficient Non-parametric Bayesian Hawkes Processes., , , and . CoRR, (2018)Determinantal Point Process Likelihoods for Sequential Recommendation., , and . SIGIR, page 1653-1663. ACM, (2022)All your loss are belong to Bayes., and . NeurIPS, (2020)Quantile Propagation for Wasserstein-Approximate Gaussian Processes., , , , and . NeurIPS, (2020)Fast Bayesian Intensity Estimation for the Permanental Process., and . ICML, volume 70 of Proceedings of Machine Learning Research, page 3579-3588. PMLR, (2017)Neural Causality Detection for Multi-dimensional Point Processes., , and . ICONIP (4), volume 11304 of Lecture Notes in Computer Science, page 509-521. Springer, (2018)Efficient and Invariant Regularisation with Application to Computer Graphics. University of Queensland, Australia, (2008)Homogenized Virtual Support Vector Machines., and . DICTA, page 57. IEEE Computer Society, (2005)Efficient Non-parametric Bayesian Hawkes Processes., , , and . IJCAI, page 4299-4305. ijcai.org, (2019)