Chao Ma
Chao Ma
Senior Researcher, Microsoft Research Cambridge
Verified email at - Homepage
Cited by
Cited by
EDDI: Efficient dynamic discovery of high-value information with partial VAE
C Ma, S Tschiatschek, K Palla, JM HernŠndez-Lobato, S Nowozin, ...
International Conference on Machine Learning, 2019
Variational implicit processes
C Ma, Y Li, JM HernŠndez-Lobato
International Conference on Machine Learning, 2019
VAEM: a deep generative model for heterogeneous mixed type data
C Ma, S Tschiatschek, R Turner, JM HernŠndez-Lobato, C Zhang
Advances in Neural Information Processing Systems 33, 2020
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
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
Partial VAE for hybrid recommender system
C Ma, W Gong, JM HernŠndez-Lobato, N Koenigstein, S Nowozin, ...
NIPS Workshop on Bayesian Deep Learning 2018, 2018
Identifiable Generative Models for Missing Not at Random Data Imputation
C Ma, C Zhang
Advances in Neural Information Processing Systems 34, 2021
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
Causal-discovery performance of chatgpt in the context of neuropathic pain diagnosis
R Tu, C Ma, C Zhang
arXiv preprint arXiv:2301.13819, 2023
Functional Variational Inference based on Stochastic Process Generators
C Ma, JM HernŠndez-Lobato
Advances in Neural Information Processing Systems 34, 2021
Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo
I Peis, C Ma, JM HernŠndez-Lobato
arXiv preprint arXiv:2202.04599, 2022
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
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
BSODA: A Bipartite Scalable Framework for Online Disease Diagnosis
W He, X Mao, C Ma, Y Hang, JM HernŠndez-Lobato, T Chen
ACM Web Conference (WWW2022), 2022
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
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
A Novel Combination Forecast Method on Non-Stationary Time Series and its Application to Exchange Rate Forecasting
Z Zhang, Z Ouyang, C Ma, J Xu, L Li, Q Wen
Int. J. Simulation—Systems, Sci. Technol. 17 (47), 2016
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
FIT: a Fast and Accurate Framework for Solving Medical Inquiring and Diagnosing Tasks
W He, X Mao, C Ma, Y Huang, JM HernŠndez-Lobato, T Chen
arXiv preprint arXiv:2012.01065, 2020
HM-VAEs: a Deep Generative Model for Real-valued Data with Heterogeneous Marginals
C Ma, S Tschiatschek, Y Li, R Turner, JM Hernandez-Lobato, C Zhang
Symposium on Advances in Approximate Bayesian Inference, 1-8, 2020
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