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Wenbo Gong
Wenbo Gong
Microsoft Research
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Deep end-to-end causal inference
T Geffner, J Antoran, A Foster, W Gong, C Ma, E Kiciman, A Sharma, ...
arXiv preprint arXiv:2202.02195, 2022
522022
Meta-learning for stochastic gradient MCMC
W Gong, Y Li, JM Hernández-Lobato
arXiv preprint arXiv:1806.04522, 2018
482018
Icebreaker: Element-wise efficient information acquisition with a bayesian deep latent gaussian model
W Gong, S Tschiatschek, S Nowozin, RE Turner, JM Hernández-Lobato, ...
Advances in neural information processing systems 32, 2019
452019
Sliced kernelized Stein discrepancy
W Gong, Y Li, JM Hernández-Lobato
arXiv preprint arXiv:2006.16531, 2020
402020
Partial VAE for hybrid recommender system
C Ma, W Gong, JM Hernández-Lobato, N Koenigstein, S Nowozin, ...
NIPS Workshop on Bayesian Deep Learning 2018, 2018
332018
Understanding causality with large language models: Feasibility and opportunities
C Zhang, S Bauer, P Bennett, J Gao, W Gong, A Hilmkil, J Jennings, C Ma, ...
arXiv preprint arXiv:2304.05524, 2023
192023
Rhino: Deep causal temporal relationship learning with history-dependent noise
W Gong, J Jennings, C Zhang, N Pawlowski
arXiv preprint arXiv:2210.14706, 2022
152022
Simultaneous missing value imputation and structure learning with groups
P Morales-Alvarez, W Gong, A Lamb, S Woodhead, S Peyton Jones, ...
Advances in Neural Information Processing Systems 35, 20011-20024, 2022
122022
Interpreting diffusion score matching using normalizing flow
W Gong, Y Li
arXiv preprint arXiv:2107.10072, 2021
102021
Collecting observations for machine learning
C Zhang, G Wenbo, RE Turner, S Tschiatschek, JMH LOBATO
US Patent 11,769,074, 2023
82023
Active slices for sliced stein discrepancy
W Gong, K Zhang, Y Li, JM Hernández-Lobato
International Conference on Machine Learning, 3766-3776, 2021
52021
Bayesdag: Gradient-based posterior sampling for causal discovery
Y Annadani, N Pawlowski, J Jennings, S Bauer, C Zhang, W Gong
arXiv preprint arXiv:2307.13917, 2023
42023
Vicause: Simultaneous missing value imputation and causal discovery with groups
P Morales-Alvarez, A Lamb, S Woodhead, SP Jones, M Allamanis, ...
arXiv preprint arXiv 2110, 2021
32021
Data retrieval
S Nowozin, C Zhang, N Koenigstein, C Ma, JMH Lobato, G Wenbo
US Patent App. 16/357,321, 2020
32020
Instructions and guide: Causal insights for learning paths in education
W Gong, D Smith, Z Wang, C Barton, S Woodhead, N Pawlowski, ...
arXiv preprint arXiv:2208.12610, 2022
22022
BayesDAG: Gradient-Based Posterior Inference for Causal Discovery
Y Annadani, N Pawlowski, J Jennings, S Bauer, C Zhang, W Gong
Advances in Neural Information Processing Systems 36, 2024
12024
Advances in approximate inference: combining VI and MCMC and improving on Stein discrepancy
W Gong
12022
The Essential Role of Causality in Foundation World Models for Embodied AI
T Gupta, W Gong, C Ma, N Pawlowski, A Hilmkil, M Scetbon, A Famoti, ...
arXiv preprint arXiv:2402.06665, 2024
2024
Collecting observations for machine learning
C Zhang, G Wenbo, RE Turner, S Tschiatschek, JMH LOBATO
US Patent App. 18/450,365, 2023
2023
Neural Structure Learning with Stochastic Differential Equations
B Wang, J Jennings, W Gong
arXiv preprint arXiv:2311.03309, 2023
2023
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