| 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 | 58 | 2019 |
| Variational implicit processes C Ma, Y Li, JM Hernández-Lobato International Conference on Machine Learning, 2019 | 30 | 2019 |
| 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 | 22 | 2017 |
| 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 | 18 | 2018 |
| 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 | 9 | 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 | 8 | 2014 |
| 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 | 5 | 2016 |
| VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data C Ma, S Tschiatschek, JM Hernández-Lobato, R Turner, C Zhang arXiv preprint arXiv:2006.11941, 2020 | 4 | 2020 |
| 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 | 4 | 2017 |
| 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 | 2 | 2020 |
| Black-box Stein divergence minimization for learning latent variable models C Ma, D Barber Advances in Approximate Bayesian Inference, NIPS 2017 Workshop 6, 2017 | 2 | 2017 |
| Data retrieval S Nowozin, C Zhang, N Koenigstein, C Ma, JMH Lobato, G Wenbo US Patent App. 16/357,321, 2020 | | 2020 |
| Gathering data in a communication system C Zhang, RSB Nowozin, A Patel, DCM Belgrave, K Palla, A Thieme, ... US Patent App. 16/443,734, 2020 | | 2020 |
| Bayesian EDDI: Sequential Variable Selection with Bayesian Partial VAE C Ma, W Gong, S Tschiatschek, S Nowozin, JM Hernández-Lobato, ... | | 2019 |
José Miguel Hernández-LobatoUniversity Lecturer (US Assistant Professor) University of CambridgeVerified email at cam.ac.uk
