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Chao Ma
Chao Ma
Senior Researcher, Microsoft Research Cambridge
E-mail confirmado em microsoft.com - Página inicial
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EDDI: Efficient dynamic discovery of high-value information with partial VAE
C Ma, S Tschiatschek, K Palla, JM Hernández-Lobato, S Nowozin, ...
International Conference on Machine Learning, 2019
1582019
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
872022
Variational implicit processes
C Ma, Y Li, JM Hernández-Lobato
International Conference on Machine Learning, 2019
842019
VAEM: a deep generative model for heterogeneous mixed type data
C Ma, S Tschiatschek, R Turner, JM Hernández-Lobato, C Zhang
Advances in Neural Information Processing Systems 33, 2020
832020
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
552023
Identifiable Generative Models for Missing Not at Random Data Imputation
C Ma, C Zhang
Advances in Neural Information Processing Systems 34, 2021
502021
A Lyapunov-type inequality for a fractional differential equation with Hadamard derivative
Q Ma, C Ma, J Wang
Journal of Mathematical Inequalities 11 (1), 135-141, 2017
442017
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
422018
Causal-discovery performance of chatgpt in the context of neuropathic pain diagnosis
R Tu, C Ma, C Zhang
arXiv preprint arXiv:2301.13819, 2023
382023
Functional Variational Inference based on Stochastic Process Generators
C Ma, JM Hernández-Lobato
Advances in Neural Information Processing Systems 34, 2021
342021
Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo
I Peis, C Ma, JM Hernández-Lobato
arXiv preprint arXiv:2202.04599, 2022
212022
Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning
M Ashman, C Ma, A Hilmkil, J Jennings, C Zhang
The Eleventh International Conference on Learning Representations, 2023
142023
BSODA: A Bipartite Scalable Framework for Online Disease Diagnosis
W He, X Mao, C Ma, Y Hang, JM Hernández-Lobato, T Chen
ACM Web Conference (WWW2022), 2022
142022
An accurate European option pricing model under Fractional Stable Process based on Feynman Path Integral
C Ma, Q Ma, H Yao, T Hou
Physica A: Statistical Mechanics and its Applications 494, 87-117, 2018
132018
A novel combinational forecasting model of dust storms based on rare classes classification algorithm
Z Zhang, C Ma, J Xu, J Huang, L Li
International Conference on Geo-Informatics in Resource Management and …, 2014
132014
Towards Causal Foundation Model: on Duality between Causal Inference and Attention
J Zhang, J Jennings, C Zhang, C Ma
arXiv preprint arXiv:2310.00809, 2023
122023
A Causal AI Suite for Decision-Making
E Kiciman, EW Dillon, D Edge, A Foster, J Jennings, C Ma, R Ness, ...
NeurIPS 2022 Workshop on Causality for Real-world Impact, 2022
112022
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
102024
Data retrieval
S Nowozin, C Zhang, N Koenigstein, C Ma, JMH Lobato, G Wenbo
US Patent App. 16/357,321, 2020
72020
Incentive-punitive risk function with interval valued intuitionistic fuzzy information for outsourced software project risk assessment
Z Zhang, Y Hu, C Ma, J Xu, S Yuan, Z Chen
Journal of Intelligent & Fuzzy Systems 32 (5), 3749-3760, 2017
72017
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