Siddharth Swaroop

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 24

Top Topics

Variational Inference

Human Decision Making

Exponential Family

Top Venues

Trans. Mach. Learn. Res.

Publications

Eura Nofshin, Siddharth Swaroop, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez
Reinforcement Learning Interventions on Boundedly Rational Human Agents in Frictionful Tasks. AAMAS (2024)
Eura Nofshin, Siddharth Swaroop, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez
Reinforcement Learning Interventions on Boundedly Rational Human Agents in Frictionful Tasks. CoRR (2024)
Siddharth Swaroop, Zana Buçinca, Krzysztof Z. Gajos, Finale Doshi-Velez
Accuracy-Time Tradeoffs in AI-Assisted Decision Making under Time Pressure. IUI (2024)
Zana Buçinca, Siddharth Swaroop, Amanda E. Paluch, Susan A. Murphy, Krzysztof Z. Gajos
Towards Optimizing Human-Centric Objectives in AI-Assisted Decision-Making With Offline Reinforcement Learning. CoRR (2024)
Erik A. Daxberger, Siddharth Swaroop, Kazuki Osawa, Rio Yokota, Richard E. Turner, José Miguel Hernández-Lobato, Mohammad Emtiyaz Khan
Improving Continual Learning by Accurate Gradient Reconstructions of the Past. Trans. Mach. Learn. Res. 2023 (2023)
Lars Lien Ankile, Brian S. Ham, Kevin Mao, Eura Shin, Siddharth Swaroop, Finale Doshi-Velez, Weiwei Pan
Discovering User Types: Mapping User Traits by Task-Specific Behaviors in Reinforcement Learning. CoRR (2023)
Siddharth Swaroop, Zana Buçinca, Finale Doshi-Velez
Adaptive interventions for both accuracy and time in AI-assisted human decision making. CoRR (2023)
Mikko A. Heikkilä, Matthew Ashman, Siddharth Swaroop, Richard E. Turner, Antti Honkela
Differentially private partitioned variational inference. Trans. Mach. Learn. Res. 2023 (2023)
Mikko A. Heikkilä, Matthew Ashman, Siddharth Swaroop, Richard E. Turner, Antti Honkela
Differentially private partitioned variational inference. CoRR (2022)
Eura Shin, Siddharth Swaroop, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez
Modeling Mobile Health Users as Reinforcement Learning Agents. CoRR (2022)
Matthew Ashman, Thang D. Bui, Cuong V. Nguyen, Efstratios Markou, Adrian Weller, Siddharth Swaroop, Richard E. Turner
Partitioned Variational Inference: A Framework for Probabilistic Federated Learning. CoRR (2022)
Noel Loo, Siddharth Swaroop, Richard E. Turner
Generalized Variational Continual Learning. ICLR (2021)
Mohammad Emtiyaz Khan, Siddharth Swaroop
Knowledge-Adaptation Priors. CoRR (2021)
Mohammad Emtiyaz Khan, Siddharth Swaroop
Knowledge-Adaptation Priors. NeurIPS (2021)
Marcin Tomczak, Siddharth Swaroop, Andrew Y. K. Foong, Richard E. Turner
Collapsed Variational Bounds for Bayesian Neural Networks. NeurIPS (2021)
Pingbo Pan, Siddharth Swaroop, Alexander Immer, Runa Eschenhagen, Richard E. Turner, Mohammad Emtiyaz Khan
Continual Deep Learning by Functional Regularisation of Memorable Past. NeurIPS (2020)
Pingbo Pan, Siddharth Swaroop, Alexander Immer, Runa Eschenhagen, Richard E. Turner, Mohammad Emtiyaz Khan
Continual Deep Learning by Functional Regularisation of Memorable Past. CoRR (2020)
Marcin Tomczak, Siddharth Swaroop, Richard E. Turner
Efficient Low Rank Gaussian Variational Inference for Neural Networks. NeurIPS (2020)
Noel Loo, Siddharth Swaroop, Richard E. Turner
Generalized Variational Continual Learning. CoRR (2020)
Kazuki Osawa, Siddharth Swaroop, Anirudh Jain, Runa Eschenhagen, Richard E. Turner, Rio Yokota, Mohammad Emtiyaz Khan
Practical Deep Learning with Bayesian Principles. CoRR (2019)
Kazuki Osawa, Siddharth Swaroop, Mohammad Emtiyaz Khan, Anirudh Jain, Runa Eschenhagen, Richard E. Turner, Rio Yokota
Practical Deep Learning with Bayesian Principles. NeurIPS (2019)
Siddharth Swaroop, Cuong V. Nguyen, Thang D. Bui, Richard E. Turner
Improving and Understanding Variational Continual Learning. CoRR (2019)
Mrinank Sharma, Michael Hutchinson, Siddharth Swaroop, Antti Honkela, Richard E. Turner
Differentially Private Federated Variational Inference. CoRR (2019)
Thang D. Bui, Cuong V. Nguyen, Siddharth Swaroop, Richard E. Turner
Partitioned Variational Inference: A unified framework encompassing federated and continual learning. CoRR (2018)