Papers
12094 papers
UAI2024
Fast Interactive Search under a Scale-Free Comparison Oracle
Summary pending...
probabilistic modelinginteractive searchhuman computer interaction
UAI2024
Invariant Causal Prediction with Local Models
Summary pending...
Causal DiscoveryInvariant Causal PredictionStructural Invariance
UAI2024
Zero Inflation as a Missing Data Problem: a Proxy-based Approach
Summary pending...
zero-inflated datamissing dataproxy
UAI2024
Normalizing Flows for Conformal Regression
Summary pending...
conformal predictionlocalizationconditional coverage
UAI2024
Detecting critical treatment effect bias in small subgroups
Summary pending...
treatment effectcausal inferenceconfounding
UAI2024
Multi-layer random features and the approximation power of neural networks
Summary pending...
Gaussian ProcessBarron's theoremapproximation power
UAI2024
Amortized Variational Inference: When and Why?
Summary pending...
variational inference; Bayesian inference; latent variable model
UAI2024
Neural Active Learning Meets the Partial Monitoring Framework
Summary pending...
online learningactive learningpartial monitoring
UAI2024
No-Regret Learning of Nash Equilibrium for Black-Box Games via Gaussian Processes
Summary pending...
Nash EquilibriumGame TheoryGaussian Process
UAI2024
Identifiability of total effects from abstractions of time series causal graphs
Summary pending...
Causal analysisidentificationtime series
UAI2024
Extremely Greedy Equivalence Search
Summary pending...
directed graphical modelcausal discoveryMarkov equivalence class
UAI2024
Characterising Interventions in Causal Games
Summary pending...
Causal Gamesprobabilistic graphical modelscausality
UAI2024
Partial identification of the maximum mean discrepancy with mismeasured data
Summary pending...
maximum mean discrepancymeasurement erroruncertainty quantification
UAI2024
A Graph Theoretic Approach for Preference Learning with Feature Information
Summary pending...
Pairwise preferencesFeature-based modelingBradley-Terry-Luce
UAI2024
Unified PAC-Bayesian Study of Pessimism for Offline Policy Learning with Regularized Importance Sampling
Summary pending...
Off-Policy LearningImportance SamplingPAC-Bayes
UAI2024
Generalized Expected Utility as a Universal Decision Rule -- A Step Forward
Summary pending...
Decision Making under UncertaintyGeneralized Expected Utilitynon-additive capacities
UAI2024
DataSP: A Differential All-to-All Shortest Path Algorithm for Learning Costs and Predicting Paths with Context
Summary pending...
neural networksinverse optimizationpath planning
UAI2024
MetaCOG: A Heirarchical Probabilistic Model for Learning Meta-Cognitive Visual Representations
Summary pending...
BayesianProbablistic modelingMeta-cognition
UAI2024
Bandits with Knapsacks and Predictions
Summary pending...
bandits with knapsacksML-augmented algorithmsalgorithms with predictions
UAI2024
Uncertainty Estimation with Recursive Feature Machines
Summary pending...
Uncertainty estimationkernel methodsgaussian processes