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Siddharth Swaroop
Siddharth Swaroop
Postdoctoral Fellow, Harvard University
Zweryfikowany adres z seas.harvard.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
2172019
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
992020
Improving and understanding variational continual learning
S Swaroop, CV Nguyen, TD Bui, RE Turner
arXiv preprint arXiv:1905.02099, 2019
552019
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
532018
Generalized variational continual learning
N Loo, S Swaroop, RE Turner
arXiv preprint arXiv:2011.12328, 2020
422020
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
212020
Knowledge-adaptation priors
MEE Khan, S Swaroop
Advances in Neural Information Processing Systems 34, 19757-19770, 2021
142021
Neural network ensembles and variational inference revisited
MB Tomczak, S Swaroop, RE Turner
142018
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
102021
Differentially private federated variational inference
M Sharma, M Hutchinson, S Swaroop, A Honkela, RE Turner
arXiv preprint arXiv:1911.10563, 2019
72019
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
42022
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
32022
Understanding Expectation Propagation
S Swaroop, RE Turner
Technical report, University of Cambridge, May 2017. URL https://github. com …, 2017
22017
Soft prompting might be a bug, not a feature
L Bailey, G Ahdritz, A Kleiman, S Swaroop, F Doshi-Velez, W Pan
12023
Combining variational continual learning with FiLM layers
N Loo, S Swaroop, RE Turner
4th Lifelong Machine Learning Workshop at ICML 2020, 2020
12020
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
2023
Discovering User Types: Characterization of User Traits by Task-Specific Behaviors in Reinforcement Learning
LL Ankile, B Ham, K Mao, E Shin, S Swaroop, F Doshi-Velez, W Pan
2023
Adaptive interventions for both accuracy and time in AI-assisted human decision making
S Swaroop, Z Buçinca, F Doshi-Velez
arXiv preprint arXiv:2306.07458, 2023
2023
Improving Continual Learning by Accurate Gradient Reconstructions of the Past
E Daxberger, S Swaroop, K Osawa, R Yokota, RE Turner, ...
2022
Differentially private partitioned variational inference
MA Heikkilä, M Ashman, S Swaroop, RE Turner, A Honkela
arXiv preprint arXiv:2209.11595, 2022
2022
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