Colin Samplawski
4 papers · 2023–2026 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(11)
Top co-authors
Research topics
Keywords
uncertainty calibration
(2)
uncertainty quantification
(2)
bayesian inference
(1)
in-context learning
(1)
object tracking
(1)
privacy preserving
(1)
distribution shift
(1)
posterior approximation
(1)
stochastic variational inference
(1)
low-rank adaptation
(1)
information leakage
(1)
multimodal language model
(1)
bayesian low-rank adaptation
(1)
subspace inference
(1)
synthetic text generation
(1)
large language model
(1)
geospatial tracking
(1)
differential privacy
(1)
distributed camera network
(1)
active learning
(1)
Papers
Bayesian Adaptation Gym: A Benchmark for the Bayesian Low-Rank Adaptation of Multi-Modal Language Models
UAI 2026
Privacy Preserving In-Context-Learning Framework for Large Language Models
AAAI 2026
Scalable Bayesian Low-Rank Adaptation of Large Language Models via Stochastic Variational Subspace Inference
UAI 2025
Heteroskedastic Geospatial Tracking with Distributed Camera Networks
UAI 2023