Papers
12094 papers
UAI2024
Shedding Light on Large Generative Networks: Estimating Epistemic Uncertainty in Diffusion Models
Summary pending...
Uncertainty QuantificationDiffusion ModelsImage Generation
UAI2024
Learning Distributionally Robust Tractable Probabilistic Models in Continuous Domains
Summary pending...
Probabilistic Graphical ModelsRobust and Reliable MLDistribution Shift
UAI2024
$\chi$SPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains
Summary pending...
causalityhybrid domainssum-product networks
UAI2024
Learning Accurate and Interpretable Decision Trees
Summary pending...
Decision treeslearning theorydata-driven algorithm design
UAI2024
Group Fairness in Predict-Then-Optimize Settings for Restless Bandits
Summary pending...
Fairnesspredict-then-optimizedecision-focused-learning
UAI2024
Causally Abstracted Multi-armed Bandits
Summary pending...
causalitystructural causal modelscausal abstraction
UAI2024
Computing Low-Entropy Couplings for Large-Support Distributions
Summary pending...
minimum-entropy couplingsteganography
UAI2024
Sample Average Approximation for Black-Box Variational Inference
Summary pending...
black-box variational inferencesample average approximationstochastic optimization
UAI2024
Equilibrium Computation in Multidimensional Congestion Games: CSP and Learning Dynamics Approaches
Summary pending...
computational game theorycongestion gameconstraint satisfaction problem
UAI2024
Domain Adaptation with Cauchy-Schwarz Divergence
Summary pending...
Domain AdaptationTransfer LearningCauchy-Schwarz Divergence
UAI2024
Offline Bayesian Aleatoric and Epistemic Uncertainty Quantification and Posterior Value Optimisation in Finite-State MDPs
Summary pending...
Uncertain MDPsUncertainty quantificationBayesian decision theory
UAI2024
A Graph Theoretic Approach for Preference Learning with Feature Information
Summary pending...
Pairwise preferencesFeature-based modelingBradley-Terry-Luce
UAI2024
Differentially Private No-regret Exploration in Adversarial Markov Decision Processes
Summary pending...
Differential PrivacyAdversarial Markov Decision ProessRegret Minimization
UAI2024
Unsupervised Feature Selection towards Pattern Discrimination Power
Summary pending...
Unsupervised Feature SelectionInformation EntropyEntropy Approximation
UAI2024
Multi-Relational Structural Entropy
Summary pending...
Multi-relational Structural Entropygraph entropymulti-relational graphs
UAI2024
Gradient descent in matrix factorization: Understanding large initialization
Summary pending...
Gradient descentmatrix factorizationlarge initialization
UAI2024
Knowledge Intensive Learning of Credal Networks
Summary pending...
Probabilistic Graphical ModelsBayesian NetworksCredal Networks
UAI2024
Towards Representation Learning for Weighting Problems in Design-Based Causal Inference
Summary pending...
representationweightingtreatment effect
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