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Teh, Yee Whye
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1

Daisee: Adaptive importance sampling by balancing explorati..:

Lu, Xiaoyu ; Rainforth, Tom ; Teh, Yee Whye
Scandinavian Journal of Statistics.  50 (2023)  3 - p. 1298-1324 , 2023
Link: https://doi.org/10.1111/..
 
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2

Bayesian Nonparametrics for Sparse Dynamic Networks:

, In: Machine Learning and Knowledge Discovery in Databases; Lecture Notes in Computer Science,
Naik, Cian ; Caron, François ; Rousseau, Judith.. - p. 191-206 , 2023
Link: https://doi.org/10.1007/..
 
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3

Authors' Reply to the Discussion of 'Efficient Bayesian Inf..:

Teh, Yee Whye ; Elesedy, Bryn ; He, Bobby...
Journal of the Royal Statistical Society Series A: Statistics in Society.  185 (2022)  Supplement_1 - p. S107-S109 , 2022
Link: https://doi.org/10.1111/..
 
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4

Efficient Bayesian inference of Instantaneous Reproduction ..:

Teh, Yee Whye ; Elesedy, Bryn ; He, Bobby...
Journal of the Royal Statistical Society Series A: Statistics in Society.  185 (2022)  Supplement_1 - p. S65-S85 , 2022
Link: https://doi.org/10.1111/..
 
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5

Inferring the effectiveness of government interventions aga..:

Brauner, Jan M. ; Mindermann, Sören ; Sharma, Mrinank...
Science.  371 (2021)  6531 - p. , 2021
Link: https://doi.org/10.1126/..
 
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6

Dual Space Preconditioning for Gradient Descent:

Maddison, Chris J. ; Paulin, Daniel ; Teh, Yee Whye.
SIAM Journal on Optimization.  31 (2021)  1 - p. 991-1016 , 2021
Link: https://doi.org/10.1137/..
 
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7

An Exact Auxiliary Variable Gibbs Sampler for a Class of Di..:

Wang, Qi ; Rao, Vinayak ; Teh, Yee Whye
Journal of Computational and Graphical Statistics.  30 (2020)  2 - p. 297-311 , 2020
Link: https://doi.org/10.1080/..
 
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8

AI for social good: unlocking the opportunity for positive ..:

Tomašev, Nenad ; Cornebise, Julien ; Hutter, Frank...
Nature Communications.  11 (2020)  1 - p. , 2020
Link: https://doi.org/10.1038/..
 
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9

A CHARACTERIZATION OF PRODUCT-FORM EXCHANGEABLE FEATURE PRO..:

Battiston, Marco ; Favaro, Stefano ; Roy, Daniel M..
The Annals of Applied Probability.  28 (2018)  3 - p. 1423-1448 , 2018
Link: https://www.jstor.org/st..
 
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10

Multi-Armed Bandit for Species Discovery: A Bayesian Nonpar..:

Battiston, Marco ; Favaro, Stefano ; Teh, Yee Whye
Journal of the American Statistical Association.  113 (2018)  521 - p. 455-466 , 2018
Link: https://www.jstor.org/st..
 
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11

Multi-Armed Bandit for Species Discovery: A Bayesian Nonpar..:

Battiston, Marco ; Favaro, Stefano ; Teh, Yee Whye
Journal of the American Statistical Association.  113 (2018)  521 - p. 455-466 , 2018
Link: https://doi.org/10.1080/..
 
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12

On Big Data Learning for Small Data Problems:

, In: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining,
Teh, Yee Whye - p. 3 ff. , 2018
Link: https://dl.acm.org/doi/1..
 
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13

A Marginal Sampler for σ-Stable Poisson–Kingman Mixture Mod..:

Lomelí, María ; Favaro, Stefano ; Teh, Yee Whye
Journal of Computational and Graphical Statistics.  26 (2017)  1 - p. 44-53 , 2017
Link: https://doi.org/10.1080/..
 
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14

A Marginal Sampler for σ-Stable Poisson-Kingman Mixture Mod..:

Lomelí, María ; Favaro, Stefano ; Teh, Yee Whye
Journal of Computational and Graphical Statistics.  26 (2017)  1 - p. 44-53 , 2017
Link: https://www.jstor.org/st..
 
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15

BAYESIAN NONPARAMETRIC INFERENCE FOR DISCOVERY PROBABILITIE..:

Arbel, Julyan ; Favaro, Stefano ; Nipoti, Bernardo.
Statistica Sinica.  27 (2017)  2 - p. 839-858 , 2017
Link: https://www.jstor.org/st..
 
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