Siddharth Swaroop
Siddharth Swaroop
Postdoctoral Fellow, Harvard University
Verified email at - Homepage
Cited by
Cited by
Practical deep learning with Bayesian principles
K Osawa, S Swaroop, MEE Khan, A Jain, R Eschenhagen, RE Turner, ...
Advances in neural information processing systems 32, 2019
Continual deep learning by functional regularisation of memorable past
P Pan, S Swaroop, A Immer, R Eschenhagen, R Turner, MEE Khan
Advances in neural information processing systems 33, 4453-4464, 2020
Partitioned variational inference: A unified framework encompassing federated and continual learning
TD Bui, CV Nguyen, S Swaroop, RE Turner
arXiv preprint arXiv:1811.11206, 2018
Improving and understanding variational continual learning
S Swaroop, CV Nguyen, TD Bui, RE Turner
arXiv preprint arXiv:1905.02099, 2019
Generalized variational continual learning
N Loo, S Swaroop, RE Turner
International Conference on Learning Representations, 2021
Efficient low rank gaussian variational inference for neural networks
M Tomczak, S Swaroop, R Turner
Advances in Neural Information Processing Systems 33, 4610-4622, 2020
Knowledge-adaptation priors
MEE Khan, S Swaroop
Advances in neural information processing systems 34, 19757-19770, 2021
Neural network ensembles and variational inference revisited
MB Tomczak, S Swaroop, RE Turner
Collapsed variational bounds for Bayesian neural networks
M Tomczak, S Swaroop, A Foong, R Turner
Advances in Neural Information Processing Systems 34, 25412-25426, 2021
Partitioned variational inference: A framework for probabilistic federated learning
M Ashman, TD Bui, CV Nguyen, S Markou, A Weller, S Swaroop, ...
arXiv preprint arXiv:2202.12275, 2022
Differentially private federated variational inference
M Sharma, M Hutchinson, S Swaroop, A Honkela, RE Turner
arXiv preprint arXiv:1911.10563, 2019
Modeling mobile health users as reinforcement learning agents
E Shin, S Swaroop, W Pan, S Murphy, F Doshi-Velez
arXiv preprint arXiv:2212.00863, 2022
Soft prompting might be a bug, not a feature
L Bailey, G Ahdritz, A Kleiman, S Swaroop, F Doshi-Velez, W Pan
Understanding Expectation Propagation
S Swaroop, RE Turner
Technical report, University of Cambridge, May 2017. URL https://github. com …, 2017
Accuracy-Time Tradeoffs in AI-Assisted Decision Making under Time Pressure
S Swaroop, Z Buçinca, KZ Gajos, F Doshi-Velez
Proceedings of the 29th International Conference on Intelligent User …, 2024
Improving Continual Learning by Accurate Gradient Reconstructions of the Past
E Daxberger, S Swaroop, K Osawa, R Yokota, RE Turner, ...
Transactions on Machine Learning Research, 2023
Discovering User Types: Mapping User Traits by Task-Specific Behaviors in Reinforcement Learning
LL Ankile, BS Ham, K Mao, E Shin, S Swaroop, F Doshi-Velez, W Pan
arXiv preprint arXiv:2307.08169, 2023
Probabilistic Continual Learning using Neural Networks
S Swaroop
Combining Variational Continual Learning with FiLM Layers
N Loo, S Swaroop, RE Turner
4th Lifelong Machine Learning Workshop at ICML 2020, 2020
Towards Optimizing Human-Centric Objectives in AI-Assisted Decision-Making With Offline Reinforcement Learning
Z Buçinca, S Swaroop, AE Paluch, SA Murphy, KZ Gajos
arXiv preprint arXiv:2403.05911, 2024
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