Siddharth Swaroop

9 papers · 2019–2025 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (26) 🐣 Hot Topic Early Bird

Venues

NeurIPS (5) ICLR (2) ICML (1) JMLR (1)

Top co-authors

Mohammad Emtiyaz Khan (4) Richard Turner (3) Weiwei Pan (2) Marcin Tomczak (2) Richard E Turner (2) Runa Eschenhagen (2) Finale Doshi-velez (2) Sarah Rathnam (1) Sonali Parbhoo (1) Andrew Foong (1)

Research topics

Machine Learning (8) Deep Learning (6) Artificial Intelligence (5) Learning Types · Machine Learning (5) Optimization & Theory (5) Bayesian & Probabilistic · Artificial Intelligence (4) Bayesian & Probabilistic · Machine Learning (4) Learning Types · Deep Learning (3) Models (3) Interdisciplinary (1) Reinforcement Learning (1) Cognitive Science (1) Core AI (1) Learning Paradigms · Machine Learning (1) Learning Paradigms · Artificial Intelligence (1)

Keywords

variational inference (4) continual learning (2) bayesian neural network (2) catastrophic forgetting (1) bellman equation (1) transfer learning (1) policy optimization (1) distributed optimization (1) low-rank approximation (1) gaussian process (1) generalization (1) model-based reinforcement learning (1) mean-field approximation (1) weight regularization (1) lifelong learning (1) bayesian inference (1) gaussian distribution (1) alternating direction method of multiplier (1) model-free reinforcement learning (1) few-shot learning (1)

Papers

Connecting Federated ADMM to Bayes ICLR 2025 Position: Rethinking LLM Bias Probing Using Lessons from the Social Sciences ICML 2025 Rethinking Discount Regularization: New Interpretations, Unintended Consequences, and Solutions for Regularization in Reinforcement Learning JMLR 2024 Collapsed Variational Bounds for Bayesian Neural Networks NeurIPS 2021 Generalized Variational Continual Learning ICLR 2021 Knowledge-Adaptation Priors NeurIPS 2021 Continual Deep Learning by Functional Regularisation of Memorable Past NeurIPS 2020 Efficient Low Rank Gaussian Variational Inference for Neural Networks NeurIPS 2020 Practical Deep Learning with Bayesian Principles NeurIPS 2019