Partitioned Variational Inference: A unified framework encompassing federated and continual learning. - Thang D. Bui; Cuong V. Nguyen; Siddharth Swaroop; Richard E. Turner (CoRR, 2018)

Practical Deep Learning with Bayesian Principles. - Kazuki Osawa; Siddharth Swaroop; Mohammad Emtiyaz Khan; Anirudh Jain; Runa Eschenhagen; Richard E. Turner; Rio Yokota (NeurIPS, 2019)

Improving and Understanding Variational Continual Learning. - Siddharth Swaroop; Cuong V. Nguyen; Thang D. Bui; Richard E. Turner (CoRR, 2019)

Differentially Private Federated Variational Inference. - Mrinank Sharma; Michael J. Hutchinson; Siddharth Swaroop; Antti Honkela; Richard E. Turner (CoRR, 2019)

Continual Deep Learning by Functional Regularisation of Memorable Past. - Pingbo Pan; Siddharth Swaroop; Alexander Immer; Runa Eschenhagen; Richard E. Turner; Mohammad Emtiyaz Khan (NeurIPS, 2020)

Efficient Low Rank Gaussian Variational Inference for Neural Networks. - Marcin Tomczak; Siddharth Swaroop; Richard E. Turner (NeurIPS, 2020)

Generalized Variational Continual Learning. - Noel Loo; Siddharth Swaroop; Richard E. Turner (ICLR, 2021)

Knowledge-Adaptation Priors. - Mohammad Emtiyaz Khan; Siddharth Swaroop (NeurIPS, 2021)

Collapsed Variational Bounds for Bayesian Neural Networks. - Marcin Tomczak; Siddharth Swaroop; Andrew Y. K. Foong; Richard E. Turner (NeurIPS, 2021)

Partitioned Variational Inference: A Framework for Probabilistic Federated Learning. - Matthew Ashman; Thang D. Bui; Cuong V. Nguyen; Efstratios Markou; Adrian Weller; Siddharth Swaroop; Richard E. Turner (CoRR, 2022)

Modeling Mobile Health Users as Reinforcement Learning Agents. - Eura Shin; Siddharth Swaroop; Weiwei Pan; Susan A. Murphy; Finale Doshi-Velez (CoRR, 2022)

Adaptive interventions for both accuracy and time in AI-assisted human decision making. - Siddharth Swaroop; Zana Buçinca; Finale Doshi-Velez (CoRR, 2023)

Discovering User Types: Mapping User Traits by Task-Specific Behaviors in Reinforcement Learning. - Lars Lien Ankile; Brian S. Ham; Kevin Mao; Eura Shin; Siddharth Swaroop; Finale Doshi-Velez; Weiwei Pan (CoRR, 2023)

Improving Continual Learning by Accurate Gradient Reconstructions of the Past. - Erik A. Daxberger; Siddharth Swaroop; Kazuki Osawa; Rio Yokota; Richard E. Turner; José Miguel Hernández-Lobato; Mohammad Emtiyaz Khan (Trans. Mach. Learn. Res., 2023)

Differentially private partitioned variational inference. - Mikko A. Heikkilä; Matthew Ashman; Siddharth Swaroop; Richard E. Turner; Antti Honkela (Trans. Mach. Learn. Res., 2023)

Reinforcement Learning Interventions on Boundedly Rational Human Agents in Frictionful Tasks. - Eura Nofshin; Siddharth Swaroop; Weiwei Pan; Susan A. Murphy; Finale Doshi-Velez (AAMAS, 2024)

Accuracy-Time Tradeoffs in AI-Assisted Decision Making under Time Pressure. - Siddharth Swaroop; Zana Buçinca; Krzysztof Z. Gajos; Finale Doshi-Velez (IUI, 2024)

Towards Optimizing Human-Centric Objectives in AI-Assisted Decision-Making With Offline Reinforcement Learning. - Zana Buçinca; Siddharth Swaroop; Amanda E. Paluch; Susan A. Murphy; Krzysztof Z. Gajos (CoRR, 2024)

Rethinking Discount Regularization: New Interpretations, Unintended Consequences, and Solutions for Regularization in Reinforcement Learning. - Sarah Rathnam; Sonali Parbhoo; Siddharth Swaroop; Weiwei Pan; Susan A. Murphy; Finale Doshi-Velez (J. Mach. Learn. Res., 2024)

Contrastive Explanations That Anticipate Human Misconceptions Can Improve Human Decision-Making Skills. - Zana Buçinca; Siddharth Swaroop; Amanda E. Paluch; Finale Doshi-Velez; Krzysztof Z. Gajos (CHI, 2025)

Connecting Federated ADMM to Bayes. - Siddharth Swaroop; Mohammad Emtiyaz Khan; Finale Doshi-Velez (ICLR, 2025)

Personalising AI Assistance Based on Overreliance Rate in AI-Assisted Decision Making. - Siddharth Swaroop; Zana Buçinca; Krzysztof Z. Gajos; Finale Doshi-Velez (IUI, 2025)

Rethinking LLM Bias Probing Using Lessons from the Social Sciences. - Kirsten N. Morehouse; Siddharth Swaroop; Weiwei Pan (CoRR, 2025)

Federated ADMM from Bayesian Duality. - Thomas Möllenhoff; Siddharth Swaroop; Finale Doshi-Velez; Mohammad Emtiyaz Khan (CoRR, 2025)