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 the 40th International Conference on Machine Learning, Proceedings of Machine Learning Research, Honolulu, HI, United States, pp. 9603 - 9622, presented at 40th International Conference on Machine Learning (ICML 2023), Honolulu, HI, United States, 23 July 2023, https://proceedings.mlr.press/v202/fan23a.html

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; Li Y; Sisson SA, 2021, 'Poisson-Randomised DirBN: Large mutation is needed in Dirichlet belief networks', in Proceedings of Machine Learning Research, pp. 3068 - 3077

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 Wallach H; Larochelle H; Beygelzimer A; d'Alche-Buc F; Fox E; Garnett R (eds.), NeurIPS 2019, 33rd Conference on Neural INformation Processing Systems 2019, NEURAL INFORMATION PROCESSING SYSTEMS (NIPS), Vancouver, Canada, presented at NeurIPS 2019, Vancouver, Canada, 08 December 2019 - 14 December 2019

Fan X; Li B; Sisson S, 2019, 'Binary space partitioning forests', in Chaudhuri K; Sugiyama M (ed.), AISTATS 2019, Proceedings of Machine Learning Research, MICROTOME PUBLISHING, Naha, Okinawa, Japan, presented at AISTATS 2019, Naha, Okinawa, Japan, 16 April 2019 - 18 April 2019, http://proceedings.mlr.press/v89/fan19b/fan19b.pdf

Fan X; Li B; Sisson S, 2018, 'Rectangular bounding process', in Bengio S; Wallach H; Larochelle H; Grauman K; CesaBianchi N; Garnett R (eds.), NeurIPS 2018, 32nd Conference on Neural Information Processing Systems, NEURAL INFORMATION PROCESSING SYSTEMS (NIPS), Montreal, pp. 7620 - 7630, 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 Storkey A; PerezCruz F (ed.), 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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