Items where Author is "Teh, Yee Whye"

Papamarkou, Theodore and Skoularidou, Maria and Palla, Konstantina and Aitchison, Laurence and Arbel, Julyan and Dunson, David and Filippone, Maurizio and Fortuin, Vincent and Hennig, Philipp and Hernández-Lobato, José Miguel and Hubin, Aliaksandr and Immer, Alexander and Karaletsos, Theofanis and Khan, Mohammad Emtiyaz and Kristiadi, Agustinus and Li, Yingzhen and Mandt, Stephan and Nemeth, Christopher and Osborne, Michael A. and Rudner, Tim G. J. and Rügamer, David and Teh, Yee Whye and Welling, Max and Wilson, Andrew Gordon and Zhang, Ruqi (2024) Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI. Proceedings of Machine Learning Research, 235. pp. 39556-39586. ISSN 1938-7228

Teh, Yee Whye and Elesedy, Bryn and He, Bobby and Hutchinson, Michael and Zaidi, Sheheryar and Bhoopchand, Avishkar and Paquet, Ulrich and Tomasev, Nenad and Read, Jonathan and Diggle, Peter J. (2022) Efficient Bayesian inference of instantaneous reproduction numbers at fine spatial scales, with an application to mapping and nowcasting the Covid‐19 epidemic in British local authorities. Journal of the Royal Statistical Society: Series A Statistics in Society. ISSN 0964-1998

Teh, Yee Whye and Elesedy, Bryn and He, Bobby and Hutchinson, Michael and Zaidi, Sheheryar and Bhoopchand, Avishkar and Paquet, Ulrich and Tomasev, Ne‐nad and Read, Jonathan and Diggle, Peter J. (2022) Authors' reply to the discussion of ‘Efficient Bayesian Inference of Instantaneous Reproduction Numbers at Fine Spatial Scales, with an Application to Mapping and Nowcasting the Covid‐19 Epidemic in British Local Authorities’ by Teh et al. in Session 2 of the Royal Statistical Society's Special Topic Meeting on <scp>COVID</scp> ‐19 transmission: 11 June 2021. Journal of the Royal Statistical Society: Series A Statistics in Society, 185 (S1). S107-S109. ISSN 0964-1998

Nicholson, George and Blangiardo, Marta and Briers, Mark and Diggle, Peter J. and Fjelde, Tor Erlend and Ge, Hong and Goudie, Robert J. B. and Jersakova, Radka and King, Ruairidh E. and Lehmann, Brieuc C. L. and Mallon, Ann-Marie and Padellini, Tullia and Teh, Yee Whye and Holmes, Chris and Richardson, Sylvia (2022) Interoperability of Statistical Models in Pandemic Preparedness : Principles and Reality. Statistical Science, 37 (2). pp. 183-206. ISSN 0883-4237

Battiston, Marco and Favaro, Stefano and Teh, Yee Whye (2018) Multi-armed bandit for species discovery : A Bayesian nonparametric approach. Journal of the American Statistical Association, 113 (521). pp. 455-466. ISSN 0162-1459

Battiston, Marco and Favaro, Stefano and Roy, Daniel M. and Teh, Yee Whye (2018) A characterization of product-form exchangeable feature probability functions. Annals of Applied Probability, 28 (3). pp. 1423-1448. ISSN 1050-5164