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2020 – today
- 2024
[j3]Sarah Rathnam, Sonali Parbhoo, Siddharth Swaroop, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez:
Rethinking Discount Regularization: New Interpretations, Unintended Consequences, and Solutions for Regularization in Reinforcement Learning. J. Mach. Learn. Res. 25: 255:1-255:48 (2024)- [c8]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: 1482-1491 - [c7]Siddharth Swaroop
, Zana Buçinca, Krzysztof Z. Gajos, Finale Doshi-Velez:
Accuracy-Time Tradeoffs in AI-Assisted Decision Making under Time Pressure. IUI 2024: 138-154 - [i14]Eura Nofshin, Siddharth Swaroop, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez:
Reinforcement Learning Interventions on Boundedly Rational Human Agents in Frictionful Tasks. CoRR abs/2401.14923 (2024) - [i13]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 abs/2403.05911 (2024) - 2023
- [j2]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) - [j1]Mikko A. Heikkilä, Matthew Ashman, Siddharth Swaroop, Richard E. Turner, Antti Honkela:
Differentially private partitioned variational inference. Trans. Mach. Learn. Res. 2023 (2023) - [i12]Siddharth Swaroop, Zana Buçinca, Finale Doshi-Velez:
Adaptive interventions for both accuracy and time in AI-assisted human decision making. CoRR abs/2306.07458 (2023) - [i11]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 abs/2307.08169 (2023) - 2022
- [i10]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 abs/2202.12275 (2022) - [i9]Mikko A. Heikkilä, Matthew Ashman, Siddharth Swaroop, Richard E. Turner, Antti Honkela:
Differentially private partitioned variational inference. CoRR abs/2209.11595 (2022) - [i8]Eura Shin, Siddharth Swaroop, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez:
Modeling Mobile Health Users as Reinforcement Learning Agents. CoRR abs/2212.00863 (2022) - 2021
- [c6]Noel Loo, Siddharth Swaroop, Richard E. Turner:
Generalized Variational Continual Learning. ICLR 2021 - [c5]Mohammad Emtiyaz Khan, Siddharth Swaroop:
Knowledge-Adaptation Priors. NeurIPS 2021: 19757-19770 - [c4]Marcin Tomczak, Siddharth Swaroop, Andrew Y. K. Foong, Richard E. Turner:
Collapsed Variational Bounds for Bayesian Neural Networks. NeurIPS 2021: 25412-25426 - [i7]Mohammad Emtiyaz Khan, Siddharth Swaroop:
Knowledge-Adaptation Priors. CoRR abs/2106.08769 (2021) - 2020
- [c3]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 - [c2]Marcin Tomczak, Siddharth Swaroop, Richard E. Turner:
Efficient Low Rank Gaussian Variational Inference for Neural Networks. NeurIPS 2020 - [i6]Pingbo Pan, Siddharth Swaroop, Alexander Immer, Runa Eschenhagen, Richard E. Turner, Mohammad Emtiyaz Khan:
Continual Deep Learning by Functional Regularisation of Memorable Past. CoRR abs/2004.14070 (2020) - [i5]Noel Loo, Siddharth Swaroop, Richard E. Turner:
Generalized Variational Continual Learning. CoRR abs/2011.12328 (2020)
2010 – 2019
- 2019
- [c1]Kazuki Osawa, Siddharth Swaroop, Mohammad Emtiyaz Khan, Anirudh Jain, Runa Eschenhagen, Richard E. Turner, Rio Yokota:
Practical Deep Learning with Bayesian Principles. NeurIPS 2019: 4289-4301 - [i4]Siddharth Swaroop, Cuong V. Nguyen, Thang D. Bui, Richard E. Turner:
Improving and Understanding Variational Continual Learning. CoRR abs/1905.02099 (2019) - [i3]Kazuki Osawa, Siddharth Swaroop, Anirudh Jain, Runa Eschenhagen, Richard E. Turner, Rio Yokota, Mohammad Emtiyaz Khan:
Practical Deep Learning with Bayesian Principles. CoRR abs/1906.02506 (2019) - [i2]Mrinank Sharma, Michael J. Hutchinson, Siddharth Swaroop, Antti Honkela, Richard E. Turner:
Differentially Private Federated Variational Inference. CoRR abs/1911.10563 (2019) - 2018
- [i1]Thang D. Bui, Cuong V. Nguyen, Siddharth Swaroop, Richard E. Turner:
Partitioned Variational Inference: A unified framework encompassing federated and continual learning. CoRR abs/1811.11206 (2018)
Coauthor Index
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