Adam D. Cobb
5 papers · 2021–2026 · 3 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (3) π Academic Marathon (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (15) π§ Keyword Pioneer
π
Cross-Pollinator
(15)
Conferences
AAAI (2)
UAI (2)
EMNLP (1)
Top co-authors
Keywords
markov chain monte carlo
(2)
hamiltonian monte carlo
(2)
anomaly detection
(1)
uncertainty quantification
(1)
in-context learning
(1)
out-of-domain detection
(1)
posterior distribution
(1)
privacy preserving
(1)
posterior estimation
(1)
likelihood ratio
(1)
amortized inference
(1)
simulation-based inference
(1)
neural estimator
(1)
bayesian neural network
(1)
information leakage
(1)
synthetic text generation
(1)
large language model
(1)
neural network
(1)
specialized language model
(1)
differential privacy
(1)
Papers
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