Siddharth Swaroop

36 papers A* 8A 3Journal 22Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Connecting Federated ADMM to Bayes. ICLR Siddharth Swaroop, Mohammad Emtiyaz Khan, Finale Doshi-Velez
2025	J	`jnl`	Connecting Federated ADMM to Bayes. CoRR Siddharth Swaroop, Mohammad Emtiyaz Khan, Finale Doshi-Velez
2025	A*	`conf`	Contrastive Explanations That Anticipate Human Misconceptions Can Improve Human Decision-Making Skills. CHI Zana Buçinca, Siddharth Swaroop, Amanda E. Paluch, Finale Doshi-Velez, Krzysztof Z. Gajos
2025	J	`jnl`	Federated ADMM from Bayesian Duality. CoRR Thomas Möllenhoff, Siddharth Swaroop, Finale Doshi-Velez, Mohammad Emtiyaz Khan
2025	J	`jnl`	Measuring and mitigating overreliance is necessary for building human-compatible AI. CoRR Lujain Ibrahim, Katherine M. Collins, Sunnie S. Y. Kim, Anka Reuel, Max Lamparth, Kevin Feng, Lama Ahmad, Prajna Soni, Alia El Kattan, Merlin Stein, Siddharth Swaroop, Ilia Sucholutsky, Andrew Strait, Q. Vera Liao, Umang Bhatt
2025	A	`conf`	Personalising AI Assistance Based on Overreliance Rate in AI-Assisted Decision Making. IUI Siddharth Swaroop, Zana Buçinca, Krzysztof Z. Gajos, Finale Doshi-Velez
2025	—	`conf`	Position: Rethinking LLM Bias Probing Using Lessons from the Social Sciences. ICML (Position Papers) Kirsten N. Morehouse, Siddharth Swaroop, Weiwei Pan
2025	J	`jnl`	Rethinking LLM Bias Probing Using Lessons from the Social Sciences. CoRR Kirsten N. Morehouse, Siddharth Swaroop, Weiwei Pan
2025	—	`ed.`	Symposium on Advances in Approximate Bayesian Inference, NTU College of Computing and Data Science, Singapore, 29 April 2025. AABI James Urquhart Allingham, Siddharth Swaroop
2024	A	`conf`	Accuracy-Time Tradeoffs in AI-Assisted Decision Making under Time Pressure. IUI Siddharth Swaroop, Zana Buçinca, Krzysztof Z. Gajos, Finale Doshi-Velez
2024	J	`jnl`	Contrastive Explanations That Anticipate Human Misconceptions Can Improve Human Decision-Making Skills. CoRR Zana Buçinca, Siddharth Swaroop, Amanda E. Paluch, Finale Doshi-Velez, Krzysztof Z. Gajos
2024	A	`conf`	Reinforcement Learning Interventions on Boundedly Rational Human Agents in Frictionful Tasks. AAMAS Eura Nofshin, Siddharth Swaroop, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez
2024	J	`jnl`	Reinforcement Learning Interventions on Boundedly Rational Human Agents in Frictionful Tasks. CoRR Eura Nofshin, Siddharth Swaroop, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez
2024	J	`jnl`	Rethinking Discount Regularization: New Interpretations, Unintended Consequences, and Solutions for Regularization in Reinforcement Learning. J. Mach. Learn. Res. Sarah Rathnam, Sonali Parbhoo, Siddharth Swaroop, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez
2024	J	`jnl`	Towards Optimizing Human-Centric Objectives in AI-Assisted Decision-Making With Offline Reinforcement Learning. CoRR Zana Buçinca, Siddharth Swaroop, Amanda E. Paluch, Susan A. Murphy, Krzysztof Z. Gajos
2023	J	`jnl`	Adaptive interventions for both accuracy and time in AI-assisted human decision making. CoRR Siddharth Swaroop, Zana Buçinca, Finale Doshi-Velez
2023	J	`jnl`	Differentially private partitioned variational inference. Trans. Mach. Learn. Res. Mikko A. Heikkilä, Matthew Ashman, Siddharth Swaroop, Richard E. Turner, Antti Honkela
2023	J	`jnl`	Discovering User Types: Mapping User Traits by Task-Specific Behaviors in Reinforcement Learning. CoRR Lars Lien Ankile, Brian S. Ham, Kevin Mao, Eura Shin, Siddharth Swaroop, Finale Doshi-Velez, Weiwei Pan
2023	J	`jnl`	Improving Continual Learning by Accurate Gradient Reconstructions of the Past. Trans. Mach. Learn. Res. Erik A. Daxberger, Siddharth Swaroop, Kazuki Osawa, Rio Yokota, Richard E. Turner, José Miguel Hernández-Lobato, Mohammad Emtiyaz Khan
2023	—	`ed.`	Proceedings of the 1st ContinualAI Unconference, 9 October 2023, Virtual CLAI Unconf Siddharth Swaroop, Martin Mundt, Rahaf Aljundi, Mohammad Emtiyaz Khan
2022	J	`jnl`	Differentially private partitioned variational inference. CoRR Mikko A. Heikkilä, Matthew Ashman, Siddharth Swaroop, Richard E. Turner, Antti Honkela
2022	J	`jnl`	Modeling Mobile Health Users as Reinforcement Learning Agents. CoRR Eura Shin, Siddharth Swaroop, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez
2022	J	`jnl`	Partitioned Variational Inference: A Framework for Probabilistic Federated Learning. CoRR Matthew Ashman, Thang D. Bui, Cuong V. Nguyen, Efstratios Markou, Adrian Weller, Siddharth Swaroop, Richard E. Turner
2021	A*	`conf`	Collapsed Variational Bounds for Bayesian Neural Networks. NeurIPS Marcin Tomczak, Siddharth Swaroop, Andrew Y. K. Foong, Richard E. Turner
2021	A*	`conf`	Generalized Variational Continual Learning. ICLR Noel Loo, Siddharth Swaroop, Richard E. Turner
2021	A*	`conf`	Knowledge-Adaptation Priors. NeurIPS Mohammad Emtiyaz Khan, Siddharth Swaroop
2021	J	`jnl`	Knowledge-Adaptation Priors. CoRR Mohammad Emtiyaz Khan, Siddharth Swaroop
2020	A*	`conf`	Continual Deep Learning by Functional Regularisation of Memorable Past. NeurIPS Pingbo Pan, Siddharth Swaroop, Alexander Immer, Runa Eschenhagen, Richard E. Turner, Mohammad Emtiyaz Khan
2020	J	`jnl`	Continual Deep Learning by Functional Regularisation of Memorable Past. CoRR Pingbo Pan, Siddharth Swaroop, Alexander Immer, Runa Eschenhagen, Richard E. Turner, Mohammad Emtiyaz Khan
2020	A*	`conf`	Efficient Low Rank Gaussian Variational Inference for Neural Networks. NeurIPS Marcin Tomczak, Siddharth Swaroop, Richard E. Turner
2020	J	`jnl`	Generalized Variational Continual Learning. CoRR Noel Loo, Siddharth Swaroop, Richard E. Turner
2019	J	`jnl`	Differentially Private Federated Variational Inference. CoRR Mrinank Sharma, Michael J. Hutchinson, Siddharth Swaroop, Antti Honkela, Richard E. Turner
2019	J	`jnl`	Improving and Understanding Variational Continual Learning. CoRR Siddharth Swaroop, Cuong V. Nguyen, Thang D. Bui, Richard E. Turner
2019	A*	`conf`	Practical Deep Learning with Bayesian Principles. NeurIPS Kazuki Osawa, Siddharth Swaroop, Mohammad Emtiyaz Khan, Anirudh Jain, Runa Eschenhagen, Richard E. Turner, Rio Yokota
2019	J	`jnl`	Practical Deep Learning with Bayesian Principles. CoRR Kazuki Osawa, Siddharth Swaroop, Anirudh Jain, Runa Eschenhagen, Richard E. Turner, Rio Yokota, Mohammad Emtiyaz Khan
2018	J	`jnl`	Partitioned Variational Inference: A unified framework encompassing federated and continual learning. CoRR Thang D. Bui, Cuong V. Nguyen, Siddharth Swaroop, Richard E. Turner