Hi! I'm a Ph.D. student at the Department of Statistics, Oxford, supervised by Dr. Tom Rainforth and Prof. Yee Whye Teh . Before that, I was a researcher at Bytedance AI lab, working with Dr. Hao Zhou and Dr. Lei Li. I'm currently working on topics in machine learning including geometry and symmetry, generative models as well as natural language reasoning.

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Publications

• Learning Instance-Specific Augmentations by Capturing Local Invariances
  Ning Miao, Tom Rainforth, Emile Mathieu, Yann Dubois, Yee Whye Teh, Adam Foster, Hyunjik Kim
  To appear in ICML, 2023.
  
• On Incorporating Inductive Biases into VAEs
  Ning Miao, Emile Mathieu, Siddharth N, Yee Whye Teh, Tom Rainforth
  In ICLR, 2022.
  [bib] [pdf] [code]
• Do You Have the Right Scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods
  Ning Miao, YuXuan Song, Hao Zhou, Lei Li
  In ACL, 2020.
  [bib] [pdf] [code]
• Dispersed Exponential Family Mixture VAEs for Interpretable Text Generation
  Wenxian Shi, Hao Zhou, Ning Miao, Shenjian Zhao, Lei Li
  In ICML, 2020.
  [bib] [pdf] [code]
• Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation
  YuXuan Song, Ning Miao, Hao Zhou, Lei Li
  In AISTATS, 2020.
  [bib] [pdf]
• Kernelized Bayesian Softmax for Text Generation
  Ning Miao, Hao Zhou, Chengqi Zhao, Wenxian Shi, Lei Li
  In NeurIPS, 2019.
  [bib] [pdf] [code]
• Generating Fluent Adversarial Examples for Natural Languages
  Huangzhao Zhang, Hao Zhou, Ning Miao, Lei Li
  In ACL, 2019.
  [bib] [pdf] [code]
• Constrained Sentence Generation via Metropolis-Hastings Sampling
  Ning Miao, Hao Zhou, Lili Mou, Rui Yan, Lei Li
  In AAAI, 2019.
  [bib] [pdf] [code]

Education

• Sep. 2016 - July 2019: Peking University
  M.S. in Data Science (Statistics)
  Advisors: Prof. Rui Yan.
  
• Sep. 2012 - July 2016: Peking University
  B.E. in Mathematics
  Advisors: Prof. Qingchun Tian, Prof. Yuan Yao.
  

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