Papers
12094 papers
UAI2024
Efficient Interactive Maximization of BP and Weakly Submodular Objectives
Summary pending...
submodularsupermodularinteractive
UAI2024
ILP-FORMER: Solving Integer Linear Programming with Sequence to Multi-Label Learning
Summary pending...
Deep LearningInteger Linear ProgrammingLearning to Optimize
UAI2024
Adaptive Softmax Trees for Many-Class Classification
Summary pending...
decision treessoftmaxmany-class classification
UAI2024
Optimizing Language Models for Human Preferences is a Causal Inference Problem
Summary pending...
causal inferenceoptimizationlarge language models
UAI2024
A Homogenization Approach for Gradient-Dominated Stochastic Optimization
Summary pending...
second-order algorithmgradient dominancereinforcement learing
UAI2024
Probabilities of Causation for Continuous and Vector Variables
Summary pending...
Probabilities of causationContinuous variablesVector variables
UAI2024
General Markov Model for Solving Patrolling Games
Summary pending...
patrolling gamesmarkov chainstochastic patrolling
UAI2024
Identifying Causal Changes Between Linear Structural Equation Models
Summary pending...
structural equation modelsdistribution shiftsroot cause analysis
UAI2024
Products, Abstractions and Inclusions of Causal Spaces
Summary pending...
causalitycausal abstractioncausal spaces
UAI2024
Enhancing Patient Recruitment Response in Clinical Trials: an Adaptive Learning Framework
Summary pending...
Adaptive learning; Patient recruitment; Ensemble learning; Machine Learning; Clinical trial
UAI2024
Non-stationary Domain Generalization: Theory and Algorithm
Summary pending...
non-stationarydomain generalizationinvariant
UAI2024
Quantization of Large Language Models with an Overdetermined Basis
Summary pending...
QuantizationLarge modelsKashin representation
UAI2024
Label-wise Aleatoric and Epistemic Uncertainty Quantification
Summary pending...
uncertainty quantificationlabel-wise uncertaintysecond-order distribution
UAI2024
Revisiting Kernel Attention with Correlated Gaussian Process Representation
Summary pending...
Deep learninguncertainty calibrationtransformers
UAI2024
End-to-end Conditional Robust Optimization
Summary pending...
Machine LearningDeep LearningConformal prediction
UAI2024
BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts
Summary pending...
neuro-symbolic AIuncertaintyreasoning shortcuts
UAI2024
Walking the Values in Bayesian Inverse Reinforcement Learning
Summary pending...
Bayesian methodsinverse reinforcement learningimitation learning
UAI2024
Learning to Rank for Active Learning via Multi-Task Bilevel Optimization
Summary pending...
Active LearningMulti-Task LearningBilevel Optimization
UAI2024
Bounding causal effects with leaky instruments
Summary pending...
Causality; instrumental variables; partial identification; optimization; uncertainty
UAI2024
Generalization and Learnability in Multiple Instance Regression
Summary pending...
multiple instance regressiongeneralizationinapproximability