Title:Bayesian Inference for Optimal Transport with Stochastic Cost
Author(s):Mallasto, Anton; Heinonen, Markus; Kaski, SamuelDate:2021Series:Proceedings of Asian Conference on Machine Learning, Proceedings of Machine Learning Research, Volume 157
Title:Continuous-time Model-based Reinforcement Learning
Author(s):Yildiz, Cagatay; Heinonen, Markus; Lähdesmäki, HarriDate:2021-07-21Series:Proceedings of the 38th International Conference on Machine Learning, ICML 2021, Proceedings of Machine Learning Research, Volume 139
Title:De-randomizing MCMC dynamics with the diffusion Stein operator
Author(s):Shen, Zheyang; Heinonen, Markus; Kaski, SamuelDate:2021Series:Advances in Neural Information Processing Systems 34 pre-proceedings (NeurIPS 2021), Advances in Neural Information Processing Systems
Title:Deep learning with differential Gaussian process flows
Author(s):Hegde, Pashupati; Heinonen, Markus; Lähdesmäki, Harri; Kaski, SamuelDate:2019-04Series:The 22nd International Conference on Artificial Intelligence and Statistic, Volume 89, Proceedings of Machine Learning Research
Title:Harmonizable mixture kernels with variational Fourier features
Author(s):Shen, Zheyang; Heinonen, Markus; Kaski, SamuelDate:2019-05Series:The 22nd International Conference on Artificial Intelligence and Statistic, Volume 89, Proceedings of Machine Learning Research