Adam D. Cobb
6 papers · 2021–2026 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Academic Marathon · Sprint
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(20)
Top co-authors
Research topics
Machine Learning
(4)
Artificial Intelligence
(3)
Deep Learning
(3)
Core AI
(3)
Optimization & Theory
(3)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Models
(2)
Natural Language Processing
(1)
Application Areas
(1)
Architectures
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core Methods
(1)
Learning Types · Deep Learning
(1)
Learning Types · Machine Learning
(1)
Resources & Methods
(1)
Keywords
large language model
(2)
uncertainty quantification
(2)
markov chain monte carlo
(2)
hamiltonian monte carlo
(2)
bayesian inference
(1)
in-context learning
(1)
out-of-domain detection
(1)
posterior distribution
(1)
privacy preserving
(1)
posterior estimation
(1)
distribution shift
(1)
likelihood ratio
(1)
posterior approximation
(1)
stochastic variational inference
(1)
amortized inference
(1)
simulation-based inference
(1)
neural estimator
(1)
low-rank adaptation
(1)
bayesian neural network
(1)
information leakage
(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
Polysemantic Dropout: Conformal OOD Detection for Specialized LLMs
EMNLP 2025
Scalable Bayesian Low-Rank Adaptation of Large Language Models via Stochastic Variational Subspace Inference
UAI 2025
Direct Amortized Likelihood Ratio Estimation
AAAI 2024
Scaling Hamiltonian Monte Carlo inference for Bayesian neural networks with symmetric splitting
UAI 2021