By Professor Scott Anthony Sisson

Conference Papers

Fan X; Bonilla EV; O'Kane TJ; Sisson SA, 2023, 'Free-Form Variational Inference for Gaussian Process State-Space Models', in Proceedings of Machine Learning Research, pp. 9603 - 9622

Fan X; Li B; Li Y; Sisson SA, 2021, 'Poisson-Randomised DirBN: Large mutation is needed in Dirichlet belief networks', in Meila M; Zhang T (ed.), Proceedings of Machine Learning Research, JMLR-JOURNAL MACHINE LEARNING RESEARCH, ELECTR NETWORK, pp. 3068 - 3077, presented at International Conference on Machine Learning (ICML), ELECTR NETWORK, 18 July 2021 - 24 July 2021, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000683104603008&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

Fan X; Li B; Luo L; Sisson SA, 2021, 'Bayesian Nonparametric Space Partitions: A Survey', in IJCAI International Joint Conference on Artificial Intelligence, pp. 4408 - 4415

Fan X; Li B; Zhou F; Sisson SA, 2021, 'Continuous-time edge modelling using non-parametric point processes', in Advances in Neural Information Processing Systems, pp. 2319 - 2330

Fan X; Li B; Sisson SA, 2020, 'Online Binary Space Partitioning Forests', in Chiappa S; Calandra R (ed.), INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 108, ADDISON-WESLEY PUBL CO, ELECTR NETWORK, pp. 527 - 536, presented at 23rd International Conference on Artificial Intelligence and Statistics (AISTATS), ELECTR NETWORK, 26 August 2020 - 28 August 2020, http://proceedings.mlr.press/v108/fan20a/fan20a.pdf

Li Y; Fan X; Chen L; Li B; Yu Z; Sisson SA, 2020, 'Recurrent dirichlet belief networks for interpretable dynamic relational data modelling', in IJCAI International Joint Conference on Artificial Intelligence, pp. 2470 - 2476

Xu M; Quiroz M; Kohn R; Sisson SA, 2020, 'Variance reduction properties of the reparameterization trick', in AISTATS 2019 - 22nd International Conference on Artificial Intelligence and Statistics

Fan X; Li B; Li C; Sisson S; Chen L, 2019, 'Scalable deep generative relational model with high-order node dependence', in NeurIPS 2019, 33rd Conference on Neural INformation Processing Systems 2019, Vancouver, Canada, presented at NeurIPS 2019, Vancouver, Canada, 08 December 2019

Fan X; Li B; Sisson S, 2019, 'Binary space partitioning forests', in AISTATS 2019, Proceedings of Machine Learning Research, Naha, Okinawa, Japan, presented at AISTATS 2019, Naha, Okinawa, Japan, 16 April 2019, http://proceedings.mlr.press/v89/fan19b/fan19b.pdf

Fan X; Li B; Sisson S, 2018, 'Rectangular bounding process', in NeurIPS 2018, 32nd Conference on Neural Information Processing Systems, Montreal, presented at NeurIPS 2018, 32nd Conference on Neural Information Processing Systems, Montreal, 03 December 2018 - 08 December 2018

Fan X; Li B; Sisson S, 2018, 'The binary space partitioning tree process', in AISTATS 2018, Proceedings of Machine Learning Research, PMLR, Playa Blanca, Lanzarote, Canary Islands, pp. 1859 - 1867, presented at 21st International Conference on Artificial Intelligence and Statistics : AISTATS 2018, Playa Blanca, Lanzarote, Canary Islands, 09 April 2018 - 11 April 2018, http://proceedings.mlr.press/v84/fan18b/fan18b.pdf

Zheng F; Westra S; Sisson S; Leonard M, 2014, 'Flood risk estimation in Australia's coastal zone: Modelling the dependence between extreme rainfall and storm surge', in Hydrology and Water Resources Symposium 2014, HWRS 2014 - Conference Proceedings, pp. 390 - 396

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