Items where Author is "Zhang, Cheng"

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: Category | No Grouping
Number of items: 8.

  • Collecting observations for machine learning
    Zhang, Cheng and Wenbo, GONG and Turner, Richard and Tschiatschek, Sebastian and HERNÁNDEZ LOBATO, Josè Miguel Other. UNSPECIFIED (Submitted) (2023)

  • Contextual HyperNetworks for Novel Feature Adaptation
    Lamb, Angus and Saveliev, Evgeny and Li, Yingzhen and Tschiatschek, Sebastian and Longden, Camilla and Woodhead, Simon and Hernández-Lobato, José Miguel and Turner, Richard E. and Cameron, Pashmina and Zhang, Cheng Working Paper. CoRR arXiv (Submitted) (2021)

  • Educational Question Mining At Scale: Prediction, Analysis and Personalization
    Wang, Zichao and Tschiatschek, Sebastian and Woodhead, Simon and Hernández-Lobato, José Miguel and Jones, Simon Peyton and Baraniuk, Richard G. and Zhang, Cheng In: 35th Conference on Artificial Intelligence (AAAI) , 02.-09.02.2021 , Virtual (2021)

  • Reinforcement Learning with Efficient Active Feature Acquisition
    Yin, Haiyan and Li, Yingzhen and Pan, Sinno Jialin and Zhang, Cheng and Tschiatschek, Sebastian Working Paper. CoRR arXiv (Submitted) (2020)

  • AMRL: Aggregated Memory For Reinforcement Learning
    Beck, Jacob and Ciosek, Kamil and Devlin, Sam and Tschiatschek, Sebastian and Zhang, Cheng and Hofmann, Katja In: Eighth International Conference on Learning Representations (ICLR) , 26.-30.04.2020 , Addis Ababa, Ethiopia (2020)

  • HM-VAEs: a Deep Generative Model for Real-valued Data with Heterogeneous Marginals
    Ma, Chao and Tschiatschek, Sebastian and Li, Yingzhen and Turner, Richard and Hernandez-Lobato, Jose Miguel and Zhang, Cheng In: 2nd Symposium on Advances in Approximate Bayesian Inference (AABI) , 08.12.2019 , Vancouver (2020)

  • VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data
    Ma, Chao and Tschiatschek, Sebastian and Turner, Richard E and Hernandez-Lobato, Jose Miguel and Zhang, Cheng In: Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS) , 06.-12.12.2020 , Virtual (2020)

  • Generalization in Reinforcement Learning with Selective Noise Injection and Information
    Igl, Maximilian and Ciosek, Kamil and Li, Yingzhen and Tschiatschek, Sebastian and Zhang, Cheng and Devlin, Sam and Hofmann, Katja In: 33ed Conference Neural Information Processing Systems (NeurIPS) , 08.-14.12.2019 , Vancouver, Canada (2019)

    • This list was generated on Tue Dec 3 18:04:09 2024 CET.
    Universität Wien| Fakultät für Informatik | Währinger Straße 29 | 1090 Wien | T +43-1-4277-780 01 | Imprint | Webteam
    EPrints Logo
    CS is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.