Papers

12094 papers

UAI2024

Approximate Kernel Density Estimation under Metric-based Local Differential Privacy

Summary pending...

kernel density estimationlocal differential privacylocality-sensitive hashing
UAI2024

Cold-start Recommendation by Personalized Embedding Region Elicitation

Summary pending...

Cold-Start Recommender SystemPreference Elicitation
UAI2024

Pure Exploration in Asynchronous Federated Bandits

Summary pending...

Bandits; Federated learning; Pure exploration
UAI2024

Analysis of Bootstrap and Subsampling in High-dimensional Regularized Regression

Summary pending...

high-dimensionbootstrapconvex problems
UAI2024

A Global Markov Property for Solutions of Stochastic Difference Equations and the corresponding Full Time Graphs

Summary pending...

causal inferencetime series analysisstructural causal models
UAI2024

Finite-Time Analysis of Three-Timescale Constrained Actor-Critic and Constrained Natural Actor-Critic Algorithms.

Summary pending...

Constrained actor-critic algorithmConstrained natural actor-critic algorithmThree-timescale algorithms
UAI2024

Last-iterate Convergence Separation between Extra-gradient and Optimism in Constrained Periodic Games

Summary pending...

last-iterate convergencetime-varying gamesoptimistic methods
UAI2024

Random Linear Projections Loss for Hyperplane-Based Optimization in Neural Networks

Summary pending...

loss functionsdeep learningoptimization
UAI2024

Performative Reinforcement Learning in Gradually Shifting Environments

Summary pending...

reinforcement learningperformative predictionconvex optimization
UAI2024

Using Autodiff to Estimate Posterior Moments, Marginals and Samples

Summary pending...

Importance weightingImportance samplingBayesian
UAI2024

Pix2Code: Learning to Compose Neural Visual Concepts as Programs

Summary pending...

visual concept learningprogram synthesisneuro-symbolic
UAI2024

Faster Perfect Sampling of Bayesian Network Structures

Summary pending...

Bayesian networksperfect samplingrejection sampling
UAI2024

Quantifying Local Model Validity using Active Learning

Summary pending...

Gaussian ProcessActive LearningReliability
UAI2024

Convergence Behavior of an Adversarial Weak Supervision Method

Summary pending...

weak supervisionadversarial weak supervisionbalsubramani_freund
UAI2024

Computing Low-Entropy Couplings for Large-Support Distributions

Summary pending...

minimum-entropy couplingsteganography
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

Unified PAC-Bayesian Study of Pessimism for Offline Policy Learning with Regularized Importance Sampling

Summary pending...

Off-Policy LearningImportance SamplingPAC-Bayes