Siddharth Swaroop
9 papers · 2019–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π Academic Marathon (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (23) π§ Keyword Pioneer
π£
Hot Topic Early Bird
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Cross-Pollinator
(14)
Conferences
NIPS (5)
ICLR (2)
ICML (1)
JMLR (1)
Top co-authors
Keywords
variational inference
(3)
bayesian neural network
(2)
continual learning
(2)
policy optimization
(1)
transfer learning
(1)
low-rank approximation
(1)
gaussian process
(1)
bellman equation
(1)
model-based reinforcement learning
(1)
mean-field approximation
(1)
weight regularization
(1)
gaussian distribution
(1)
model-free reinforcement learning
(1)
gaussian variational inference
(1)
bayesian deep learning
(1)
evidence lower bound
(1)
bayesian prior
(1)
deep network
(1)
hierarchical prior
(1)
reparameterization trick
(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
NIPS 2021
Knowledge-Adaptation Priors
NIPS 2021
Generalized Variational Continual Learning
ICLR 2021
Efficient Low Rank Gaussian Variational Inference for Neural Networks
NIPS 2020
Continual Deep Learning by Functional Regularisation of Memorable Past
NIPS 2020
Practical Deep Learning with Bayesian Principles
NIPS 2019