Papers
12094 papers
UAI2024
Iterated INLA for State and Parameter Estimation in Nonlinear Dynamical Systems
Summary pending...
Data assimilationIntegrated Nested Laplace ApproximationGaussian process
UAI2024
Learning Causal Abstractions of Linear Structural Causal Models
Summary pending...
Causal AbstractionStructural Causal ModelsCausal Discovery
UAI2024
CSS: Contrastive Semantic Similarities for Uncertainty Quantification of LLMs
Summary pending...
uncertainty quantificationLLMsCLIP
UAI2024
Bayesian Active Learning in the Presence of Nuisance Parameters
Summary pending...
sequential optimal experimental designBayesian inferenceactive learning
UAI2024
Stein Random Feature Regression
Summary pending...
gaussian processeskernel learningrandom fourier features
UAI2024
Evaluating Bayesian deep learning for radio galaxy classification
Summary pending...
bayesian neural networksvariational inferenceradio astronomy
UAI2024
End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty
Summary pending...
Predict-then-OptimizeMulti-objective optimizationfairness
UAI2024
α-Former: Local-Feature-Aware (L-FA) Transformer
Summary pending...
Camouflaged instance segmentation
UAI2024
Response Time Improves Gaussian Process Models for Perception and Preferences
Summary pending...
Gaussian processpreference learningdiffusion decision model
UAI2024
Understanding Pathologies of Deep Heteroskedastic Regression
Summary pending...
heteroskedasticregression
UAI2024
Support Recovery in Sparse PCA with General Missing Data
Summary pending...
Sparse PCAMissing DataSupport Recovery
UAI2024
A General Identification Algorithm For Data Fusion Problems Under Systematic Selection
Summary pending...
causal inferenceidentificationdata fusion
UAI2024
Privacy-Aware Randomized Quantization via Linear Programming
Summary pending...
Differential privacyQuantizationOptimization
UAI2024
Decision-Focused Evaluation of Worst-Case Distribution Shift
Summary pending...
model evaluationreliabilitydistribution shift
UAI2024
Hidden Population Estimation with Indirect Inference and Auxiliary Information
Summary pending...
Respondent Driven SamplingIndirect InferenceNetworks
UAI2024
Masking the Unknown: Leveraging Masked Samples for Enhanced Data Augmentation
Summary pending...
Data augmentationMasked Language ModelText classification
UAI2024
On Convergence of Federated Averaging Langevin Dynamics
Summary pending...
Federated LearningLangevin DynamicsBayesian Inference
UAI2024
Optimization Framework for Semi-supervised Attributed Graph Coarsening
Summary pending...
Graph coarseningnode classificationgraph neural network
UAI2024
Power Mean Estimation in Stochastic Monte-Carlo Tree Search
Summary pending...
Monte-Carlo Tree SearchMonte-Carlo Planning
UAI2024
Recursively-Constrained Partially Observable Markov Decision Processes
Summary pending...
Partially Observable Markov Decision ProcessesConstraintsDecision Theory