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Results: 4
Number of items: 4
  • Open Access
    Van Hoof, H., & Wang, Q. (2023). Learning Expressive Meta-Representations with Mixture of Expert Neural Processes. In S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, & A. Oh (Eds.), 36th Conference on Neural Information Processing Systems (NeurIPS 2022): New Orleans, Louisiana, USA, 28 November-9 December 2022 (Vol. 34, pp. 26242-26255). (Advances in Neural Information Processing Systems; Vol. 35). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper_files/paper/2022/hash/a815fe7cad6af20a6c118f2072a881d2-Abstract-Conference.html
  • Open Access
    Wang, Q. (2022). Functional representation learning for uncertainty quantification and fast skill transfer. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Wang, Q., & van Hoof, H. (2022). Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models and Amortized Policy Search. Proceedings of Machine Learning Research, 162, 23055-23077. https://proceedings.mlr.press/v162/wang22z.html
  • Open Access
    Wang, Q., & van Hoof, H. (2020). Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables. Proceedings of Machine Learning Research, 119, 10018-10028. http://proceedings.mlr.press/v119/wang20s.html
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