Papers
12094 papers
UAI2024
Can we Defend Against the Unknown? An Empirical Study About Threshold Selection for Neural Network Monitoring
Summary pending...
Neural Network Runtime MonitoringMachine Learning SafetyThreshold Optimization
UAI2024
GeONet: a neural operator for learning the Wasserstein geodesic
Summary pending...
neural operatorWassersteingeodesic
UAI2024
Metric Learning from Limited Pairwise Preference Comparisons
Summary pending...
metric learningpreference comparisonscrowdsourced data
UAI2024
Bayesian Pseudo-Coresets via Contrastive Divergence
Summary pending...
Data Efficient MLEnergy-based Models
UAI2024
How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression
Summary pending...
Normalizing FlowsDistribution RegressionTransformation Models
UAI2024
QuantProb: Generalizing Probabilities along with Predictions for a Pre-trained Classifier
Summary pending...
CalibrationQuantile RegressionRobust Probabilities
UAI2024
Publishing Number of Walks and Katz Centrality under Local Differential Privacy
Summary pending...
AI under privacy constraintslocal differential privacysocial network analysis and graph algorithms
UAI2024
On the Convergence of Hierarchical Federated Learning with Partial Worker Participation
Summary pending...
Hierarchical Federated LearningPartial Worker ParticipationConvergence Analysis
UAI2024
Optimistic Regret Bounds for Online Learning in Adversarial Markov Decision Processes
Summary pending...
Reinforcement LearningOnline and Anytime LearningPolicy Optimization and Policy Learning
UAI2024
Exploring High-dimensional Search Space via Voronoi Graph Traversing
Summary pending...
High-dimensional Bayesian optimizationblack-box optimizationVoronoi diagram
UAI2024
Cost-Sensitive Uncertainty-Based Failure Recognition for Object Detection
Summary pending...
Failure RecognitionObject DetectionUncertainty Estimation
UAI2024
Robust Entropy Search for Safe Efficient Bayesian Optimization
Summary pending...
Bayesian OptimizationRobustnessInformation-Based Acquisition Functions
UAI2024
AutoDrop: Training Deep Learning Models with Automatic Learning Rate Drop
Summary pending...
optimization in deep learningautomatic learning rate
UAI2024
On the Capacitated Facility Location Problem with Scarce Resources
Summary pending...
Facility Location ProblemCapacitated Facility Location ProblemAlgorithmic Mechanism Design
UAI2024
How to Fix a Broken Confidence Estimator: Evaluating Post-hoc Methods for Selective Classification with Deep Neural Networks
Summary pending...
Selective classificationdeep learninguncertainty estimation
UAI2024
Functional Wasserstein Variational Policy Optimization
Summary pending...
policy optimizationuncertainty
UAI2024
Graph Contrastive Learning under Heterophily via Graph Filters
Summary pending...
Graph Representation LearningContrastive Learning
UAI2024
Identification and Estimation of Conditional Average Partial Causal Effects via Instrumental Variable
Summary pending...
Heterogeneous causal effectsInstrumental variableContinuous treatment
UAI2024
Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations
Summary pending...
OOD DetectionOverconfidenceData Shift
UAI2024
Localised Natural Causal Learning Algorithms for Weak Consistency Conditions
Summary pending...
Causal DiscoveryGraphical Models