1. Through-Wall Human Mesh Recovery Using Radio Signals Mingmin Zhao, Yingcheng Liu, Aniruddh Raghu, Tianhong Li, Hang Zhao, Antonio Torralba, Dina Katabi In International Conference on Computer Vision 2019
  2. Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu, Maithra Raghu, Samy Bengio, Oriol Vinyals arXiv preprint 2019 [pdf]
  3. Behaviour Policy Estimation in Off-Policy Policy Evaluation: Calibration Matters Aniruddh Raghu, Omer Gottesman, Yao Liu, Matthieu Komorowski, Aldo Faisal, Finale Doshi-Velez, Emma Brunskill International Conference on Machine Learning: workshop on Causal Machine Learning 2018 [pdf]
  4. Representation Balancing MDPs for Off-Policy Policy Evaluation Yao Liu, Omer Gottesman, Aniruddh Raghu, Matthieu Komorowski, Aldo A Faisal, Finale Doshi-Velez, Emma Brunskill In Advances in Neural Information Processing Systems 2018 [pdf]
  5. Model-Based Reinforcement Learning for Sepsis Treatment Aniruddh Raghu, Matthieu Komorowski, Sumeetpal Singh Neural Information Processing Systems: workshop on Machine Learning for Health 2018 [pdf]
  6. Masters Thesis: Reinforcement Learning for Clinical Decision Support Aniruddh Raghu 2018 [pdf]
  7. Deep Reinforcement Learning for Sepsis Treatment Aniruddh Raghu, Matthieu Komorowski, Imran Ahmed, Leo A. Celi, Peter Szolovits, Marzyeh Ghassemi Neural Information Processing Systems: workshop on Machine Learning for Health 2017 [pdf]
  8. Continuous State-Space Models for Optimal Sepsis Treatment: a Deep Reinforcement Learning Approach Aniruddh Raghu, Matthieu Komorowski, Leo A. Celi, Peter Szolovits, Marzyeh Ghassemi In Machine Learning for Healthcare Conference 2017 [pdf]