Papers
12094 papers
UAI2024
Generalization and Learnability in Multiple Instance Regression
Summary pending...
multiple instance regressiongeneralizationinapproximability
UAI2024
Active Learning Framework for Incomplete Networks
Summary pending...
Active LearningIncomplete GraphsGraph Neural Networks
UAI2024
Beyond Dirichlet-based Models: When Bayesian Neural Networks Meet Evidential Deep Learning
Summary pending...
Uncertainty QuantificationBayesian Deep LearningEvidential Deep Learning
UAI2024
Stein Random Feature Regression
Summary pending...
gaussian processeskernel learningrandom fourier features
UAI2024
Value-Based Abstraction Functions for Abstraction Sampling
Summary pending...
AbstractionSamplingZ
UAI2024
Vertical Validation: Evaluating Implicit Generative Models for Graphs on Thin Support Regions
Summary pending...
Graph Generative Models EvaluationEvaluationImplicit Generative Models
UAI2024
Causal Discovery with Deductive Reasoning: One Less Problem
Summary pending...
causal discoverydeductive reasoning
UAI2024
On the Inductive Biases of Demographic Parity-based Fair Learning Algorithms
Summary pending...
Fairness in Machine LearningDemographic ParityInductive Bias
UAI2024
Polynomial Semantics of Tractable Probabilistic Circuits
Summary pending...
Probabilistic InferenceMarginal InferenceTractable Models
UAI2024
Offline Reward Perturbation Boosts Distributional Shift in Online RL
Summary pending...
data poisoning attackmachine learning safetyoffline to online reinforcement learning
UAI2024
Linear Opinion Pooling for Uncertainty Quantification on Graphs
Summary pending...
Machine learninguncertainty quantificationgraph-structured data
UAI2024
Neural Architecture Search Finds Robust Models by Knowledge Distillation
Summary pending...
Adversarial AttacksNeural Architecture SearchCross-Layer Knowledge Distillation
UAI2024
Efficiently Deciding Algebraic Equivalence of Bow-Free Acyclic Path Diagrams
Summary pending...
mixed graphslatent confoundersalgebraic models
UAI2024
Evaluating Bayesian deep learning for radio galaxy classification
Summary pending...
bayesian neural networksvariational inferenceradio astronomy
ICML2023
Learning GFlowNets From Partial Episodes For Improved Convergence And Stability
Summary pending...
ICML2023
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization
Summary pending...
ICML2023
Leveraging Demonstrations to Improve Online Learning: Quality Matters
Summary pending...
ICML2023
Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language
Summary pending...