Aniruddh Raghu

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 20

Top Topics

Policy Evaluation

Reinforcement Learning

Continuous State

Top Venues

Publications

Aniruddh Raghu, Payal Chandak, Ridwan Alam, John V. Guttag, Collin M. Stultz
Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series. ICML (2023)
Aniruddh Raghu, Payal Chandak, Ridwan Alam, John V. Guttag, Collin M. Stultz
Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series. CoRR (2023)
Aniruddh Raghu, Divya Shanmugam, Eugene Pomerantsev, John V. Guttag, Collin M. Stultz
Data Augmentation for Electrocardiograms. CHIL (2022)
Aniruddh Raghu, Divya Shanmugam, Eugene Pomerantsev, John V. Guttag, Collin M. Stultz
Data Augmentation for Electrocardiograms. CoRR (2022)
Aniruddh Raghu, Maithra Raghu, Simon Kornblith, David Duvenaud, Geoffrey E. Hinton
Teaching with Commentaries. ICLR (2021)
Aniruddh Raghu, Jonathan Lorraine, Simon Kornblith, Matthew McDermott, David Duvenaud
Meta-Learning to Improve Pre-Training. CoRR (2021)
Aniruddh Raghu, John V. Guttag, Katherine Young, Eugene Pomerantsev, Adrian V. Dalca, Collin M. Stultz
Learning to Predict with Supporting Evidence: Applications to Clinical Risk Prediction. CoRR (2021)
Aniruddh Raghu, John V. Guttag, Katherine Young, Eugene Pomerantsev, Adrian V. Dalca, Collin M. Stultz
Learning to predict with supporting evidence: applications to clinical risk prediction. CHIL (2021)
Aniruddh Raghu, Jonathan Lorraine, Simon Kornblith, Matthew McDermott, David Duvenaud
Meta-learning to Improve Pre-training. NeurIPS (2021)
Aniruddh Raghu, Maithra Raghu, Samy Bengio, Oriol Vinyals
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML. ICLR (2020)
Aniruddh Raghu, Maithra Raghu, Simon Kornblith, David Duvenaud, Geoffrey E. Hinton
Teaching with Commentaries. CoRR (2020)
Aniruddh Raghu, Maithra Raghu, Samy Bengio, Oriol Vinyals
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML. CoRR (2019)
Mingmin Zhao, Yingcheng Liu, Aniruddh Raghu, Hang Zhao, Tianhong Li, Antonio Torralba, Dina Katabi
Through-Wall Human Mesh Recovery Using Radio Signals. ICCV (2019)
Aniruddh Raghu, Omer Gottesman, Yao Liu, Matthieu Komorowski, Aldo Faisal, Finale Doshi-Velez, Emma Brunskill
Behaviour Policy Estimation in Off-Policy Policy Evaluation: Calibration Matters. CoRR (2018)
Aniruddh Raghu, Matthieu Komorowski, Sumeetpal S. Singh
Model-Based Reinforcement Learning for Sepsis Treatment. CoRR (2018)
Yao Liu, Omer Gottesman, Aniruddh Raghu, Matthieu Komorowski, Aldo Faisal, Finale Doshi-Velez, Emma Brunskill
Representation Balancing MDPs for Off-Policy Policy Evaluation. CoRR (2018)
Yao Liu, Omer Gottesman, Aniruddh Raghu, Matthieu Komorowski, Aldo A. Faisal, Finale Doshi-Velez, Emma Brunskill
Representation Balancing MDPs for Off-policy Policy Evaluation. NeurIPS (2018)
Aniruddh Raghu, Matthieu Komorowski, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi
Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach. CoRR (2017)
Aniruddh Raghu, Matthieu Komorowski, Imran Ahmed, Leo A. Celi, Peter Szolovits, Marzyeh Ghassemi
Deep Reinforcement Learning for Sepsis Treatment. CoRR (2017)
Aniruddh Raghu, Matthieu Komorowski, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi
Continuous State-Space Models for Optimal Sepsis Treatment: a Deep Reinforcement Learning Approach. MLHC (2017)