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Volume 244: Uncertainty in Artificial Intelligence, 15-19 July 2024, Universitat Pompeu Fabra, Barcelona, Spain
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Editors: Negar Kiyavash, Joris M. Mooij
Preface
Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence – Preface
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:i-xi
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Papers
Convergence Behavior of an Adversarial Weak Supervision Method
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1-49
Iterated INLA for State and Parameter Estimation in Nonlinear Dynamical Systems
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:50-76
CSS: Contrastive Semantic Similarities for Uncertainty Quantification of LLMs
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:77-87
Unified PAC-Bayesian Study of Pessimism for Offline Policy Learning with Regularized Importance Sampling
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:88-109
Latent Representation Entropy Density for Distribution Shift Detection
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:110-137
FedAST: Federated Asynchronous Simultaneous Training
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:138-172
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Identifiability of total effects from abstractions of time series causal graphs
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:173-185
On the Capacitated Facility Location Problem with Scarce Resources
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:186-202
Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:203-224
Inference in Probabilistic Answer Set Programs with Imprecise Probabilities via Optimization
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:225-234
Differentially Private No-regret Exploration in Adversarial Markov Decision Processes
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:235-272
Walking the Values in Bayesian Inverse Reinforcement Learning
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:273-287
Learning Accurate and Interpretable Decision Trees
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:288-307
Towards Bounding Causal Effects under Markov Equivalence
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:308-332
Linearly Constrained Gaussian Processes are SkewGPs: application to Monotonic Preference Learning and Desirability
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:333-348
MetaCOG: A Heirarchical Probabilistic Model for Learning Meta-Cognitive Visual Representations
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:349-359
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Shedding Light on Large Generative Networks: Estimating Epistemic Uncertainty in Diffusion Models
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:360-376
Publishing Number of Walks and Katz Centrality under Local Differential Privacy
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:377-393
Using Autodiff to Estimate Posterior Moments, Marginals and Samples
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:394-417
Polynomial Semantics of Tractable Probabilistic Circuits
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:418-429
Products, Abstractions and Inclusions of Causal Spaces
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:430-449
Revisiting Kernel Attention with Correlated Gaussian Process Representation
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:450-470
Sample Average Approximation for Black-Box Variational Inference
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:471-498
Privacy-Aware Randomized Quantization via Linear Programming
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:499-516
Fair Active Learning in Low-Data Regimes
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:517-531
Multi-Relational Structural Entropy
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:532-546
How to Fix a Broken Confidence Estimator: Evaluating Post-hoc Methods for Selective Classification with Deep Neural Networks
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:547-584
QuantProb: Generalizing Probabilities along with Predictions for a Pre-trained Classifier
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:585-602
Generalization and Learnability in Multiple Instance Regression
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:603-618
Gradient descent in matrix factorization: Understanding large initialization
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:619-647
Conditional Bayesian Quadrature
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:648-684
Adaptive Time-Stepping Schedules for Diffusion Models
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:685-697
SMuCo: Reinforcement Learning for Visual Control via Sequential Multi-view Total Correlation
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:698-717
Inference for Optimal Linear Treatment Regimes in Personalized Decision-making
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:718-735
End-to-end Conditional Robust Optimization
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:736-748
Differentiable Pareto-Smoothed Weighting for High-Dimensional Heterogeneous Treatment Effect Estimation
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:749-762
Fast Interactive Search under a Scale-Free Comparison Oracle
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:763-786
Analysis of Bootstrap and Subsampling in High-dimensional Regularized Regression
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:787-819
Towards Minimax Optimality of Model-based Robust Reinforcement Learning
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:820-855
Towards Representation Learning for Weighting Problems in Design-Based Causal Inference
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:856-880
Normalizing Flows for Conformal Regression
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:881-893
Power Mean Estimation in Stochastic Monte-Carlo Tree Search
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:894-918
Linear Opinion Pooling for Uncertainty Quantification on Graphs
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:919-929
Can we Defend Against the Unknown? An Empirical Study About Threshold Selection for Neural Network Monitoring
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:930-942
Detecting critical treatment effect bias in small subgroups
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:943-965
The Real Deal Behind the Artificial Appeal: Inferential Utility of Tabular Synthetic Data
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:966-996
Discrete Probabilistic Inference as Control in Multi-path Environments
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:997-1021
On Convergence of Federated Averaging Langevin Dynamics
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1022-1054
Reflected Schrödinger Bridge for Constrained Generative Modeling
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1055-1082
Calibrated and Conformal Propensity Scores for Causal Effect Estimation
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1083-1111
Learning to Rank for Active Learning via Multi-Task Bilevel Optimization
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1112-1128
End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1129-1145
Online Policy Optimization for Robust Markov Decision Process
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1146-1175
Learning Distributionally Robust Tractable Probabilistic Models in Continuous Domains
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1176-1188
Bandits with Knapsacks and Predictions
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1189-1206
Approximate Bayesian Computation with Path Signatures
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1207-1231
Vertical Validation: Evaluating Implicit Generative Models for Graphs on Thin Support Regions
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1232-1256
EntProp: High Entropy Propagation for Improving Accuracy and Robustness
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1257-1270
Multi-fidelity Bayesian Optimization with Multiple Information Sources of Input-dependent Fidelity
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1271-1293
Center-Based Relaxed Learning Against Membership Inference Attacks
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1294-1306
Enhancing Patient Recruitment Response in Clinical Trials: an Adaptive Learning Framework
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1307-1322
Generalized Expected Utility as a Universal Decision Rule – A Step Forward
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1323-1338
Last-iterate Convergence Separation between Extra-gradient and Optimism in Constrained Periodic Games
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1339-1370
Guaranteeing Robustness Against Real-World Perturbations In Time Series Classification Using Conformalized Randomized Smoothing
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1371-1388
Consistency Regularization for Domain Generalization with Logit Attribution Matching
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1389-1407
Uncertainty Estimation with Recursive Feature Machines
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1408-1437
Bootstrap Your Conversions: Thompson Sampling for Partially Observable Delayed Rewards
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1438-1452
GeONet: a neural operator for learning the Wasserstein geodesic
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1453-1478
ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-variable Context Encoding
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1479-1490
One Shot Inverse Reinforcement Learning for Stochastic Linear Bandits
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1491-1512
Characterizing Data Point Vulnerability as Average-Case Robustness
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1513-1540
No-Regret Learning of Nash Equilibrium for Black-Box Games via Gaussian Processes
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1541-1557
Faster Perfect Sampling of Bayesian Network Structures
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1558-1568
Adjustment Identification Distance: A gadjid for Causal Structure Learning
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1569-1598
On Overcoming Miscalibrated Conversational Priors in LLM-based ChatBots
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1599-1620
Neural Active Learning Meets the Partial Monitoring Framework
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1621-1639
Quantum Kernelized Bandits
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1640-1657
Recursively-Constrained Partially Observable Markov Decision Processes
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1658-1680
Sound Heuristic Search Value Iteration for Undiscounted POMDPs with Reachability Objectives
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1681-1697
A Global Markov Property for Solutions of Stochastic Difference Equations and the corresponding Full Time Graphs
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1698-1726
Revisiting Convergence of AdaGrad with Relaxed Assumptions
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1727-1750
Equilibrium Computation in Multidimensional Congestion Games: CSP and Learning Dynamics Approaches
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1751-1779
Early-Exit Neural Networks with Nested Prediction Sets
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1780-1796
On the Convergence of Hierarchical Federated Learning with Partial Worker Participation
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1797-1824
Adaptive Softmax Trees for Many-Class Classification
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1825-1841
Towards Scalable Bayesian Transformers: Investigating stochastic subset selection for NLP
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1842-1862
Low-rank Matrix Bandits with Heavy-tailed Rewards
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1863-1889
Cost-Sensitive Uncertainty-Based Failure Recognition for Object Detection
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1890-1900
Probabilities of Causation for Continuous and Vector Variables
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1901-1921
Identification and Estimation of Conditional Average Partial Causal Effects via Instrumental Variable
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1922-1952
Targeted Reduction of Causal Models
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1953-1980
Active Learning Framework for Incomplete Networks
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1981-1998
Causal Discovery with Deductive Reasoning: One Less Problem
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:1999-2017
ILP-FORMER: Solving Integer Linear Programming with Sequence to Multi-Label Learning
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2018-2028
How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2029-2046
Distributionally Robust Optimization as a Scalable Framework to Characterize Extreme Value Distributions
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2047-2063
Optimization Framework for Semi-supervised Attributed Graph Coarsening
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2064-2075
Efficient Monte Carlo Tree Search via On-the-Fly State-Conditioned Action Abstraction
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2076-2093
DataSP: A Differential All-to-All Shortest Path Algorithm for Learning Costs and Predicting Paths with Context
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2094-2112
Quantifying Local Model Validity using Active Learning
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2113-2135
Common Event Tethering to Improve Prediction of Rare Clinical Events
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2136-2162
Support Recovery in Sparse PCA with General Missing Data
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2163-2187
A General Identification Algorithm For Data Fusion Problems Under Systematic Selection
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2188-2204
On the Inductive Biases of Demographic Parity-based Fair Learning Algorithms
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2205-2225
Label Consistency-based Worker Filtering for Crowdsourcing
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2226-2237
Learning from Crowds with Dual-View K-Nearest Neighbor
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2238-2249
Optimizing Language Models for Human Preferences is a Causal Inference Problem
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2250-2270
Transductive and Inductive Outlier Detection with Robust Autoencoders
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2271-2293
Hybrid CtrlFormer: Learning Adaptive Search Space Partition for Hybrid Action Control via Transformer-based Monte Carlo Tree Search
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2294-2308
Patch-Prompt Aligned Bayesian Prompt Tuning for Vision-Language Models
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2309-2330
Posterior Inference on Shallow Infinitely Wide Bayesian Neural Networks under Weights with Unbounded Variance
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2331-2349
Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2350-2382
Identifying Causal Changes Between Linear Structural Equation Models
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2383-2398
BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2399-2433
Amortized Variational Inference: When and Why?
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2434-2449
Learning relevant contextual variables within Bayesian optimization
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2450-2470
Identifying Homogeneous and Interpretable Groups for Conformal Prediction
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2471-2485
Learning Causal Abstractions of Linear Structural Causal Models
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2486-2515
Knowledge Intensive Learning of Credal Networks
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2516-2526
Quantization of Large Language Models with an Overdetermined Basis
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2527-2536
Invariant Causal Prediction with Local Models
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2537-2559
Characterising Interventions in Causal Games
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2560-2572
Approximation Algorithms for Observer Aware MDPs
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2573-2586
Evaluating Bayesian deep learning for radio galaxy classification
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2587-2597
Optimistic Regret Bounds for Online Learning in Adversarial Markov Decision Processes
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2598-2622
Partial identification of the maximum mean discrepancy with mismeasured data
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2623-2645
General Markov Model for Solving Patrolling Games
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2646-2669
Efficient Interactive Maximization of BP and Weakly Submodular Objectives
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2670-2699
Neural Architecture Search Finds Robust Models by Knowledge Distillation
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2700-2715
Extremely Greedy Equivalence Search
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2716-2745
A Generalized Bayesian Approach to Distribution-on-Distribution Regression
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2746-2765
Cold-start Recommendation by Personalized Embedding Region Elicitation
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2766-2786
Finite-Time Analysis of Three-Timescale Constrained Actor-Critic and Constrained Natural Actor-Critic Algorithms.
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2787-2834
Quantifying Representation Reliability in Self-Supervised Learning Models
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2835-2860
Value-Based Abstraction Functions for Abstraction Sampling
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2861-2901
[abs][Download PDF][OpenReview][Software][Supplementary PDF]
Non-stationary Domain Generalization: Theory and Algorithm
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2902-2927
Zero Inflation as a Missing Data Problem: a Proxy-based Approach
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2928-2955
DistriBlock: Identifying adversarial audio samples by leveraging characteristics of the output distribution
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2956-2988
Neural Optimal Transport with Lagrangian Costs
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:2989-3003
$χ$SPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3004-3020
Graph Feedback Bandits with Similar Arms
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3021-3040
Performative Reinforcement Learning in Gradually Shifting Environments
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3041-3075
Decision-Focused Evaluation of Worst-Case Distribution Shift
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3076-3093
To smooth a cloud or to pin it down: Expressiveness guarantees and insights on score matching in denoising diffusion models
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3094-3120
Anomaly Detection with Variance Stabilized Density Estimation
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3121-3137
A Graph Theoretic Approach for Preference Learning with Feature Information
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3138-3158
Label-wise Aleatoric and Epistemic Uncertainty Quantification
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3159-3179
Unsupervised Feature Selection towards Pattern Discrimination Power
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3180-3197
Cooperative Meta-Learning with Gradient Augmentation
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3198-3210
Response Time Improves Gaussian Process Models for Perception and Preferences
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3211-3226
BanditQ:Fair Bandits with Guaranteed Rewards
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3227-3244
Bayesian Active Learning in the Presence of Nuisance Parameters
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3245-3263
Memorization Capacity for Additive Fine-Tuning with Small ReLU Networks
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3264-3278
Computing Low-Entropy Couplings for Large-Support Distributions
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3279-3298
Multi-layer random features and the approximation power of neural networks
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3299-3322
A Homogenization Approach for Gradient-Dominated Stochastic Optimization
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3323-3344
Localised Natural Causal Learning Algorithms for Weak Consistency Conditions
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3345-3355
Fast Reliability Estimation for Neural Networks with Adversarial Attack-Driven Importance Sampling
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3356-3367
Bayesian Pseudo-Coresets via Contrastive Divergence
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3368-3390
Offline Bayesian Aleatoric and Epistemic Uncertainty Quantification and Posterior Value Optimisation in Finite-State MDPs
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3391-3409
Efficiently Deciding Algebraic Equivalence of Bow-Free Acyclic Path Diagrams
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3410-3424
Random Linear Projections Loss for Hyperplane-Based Optimization in Neural Networks
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3425-3447
Group Fairness in Predict-Then-Optimize Settings for Restless Bandits
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3448-3469
Model-Free Robust Reinforcement Learning with Sample Complexity Analysis
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3470-3513
Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3514-3539
Pure Exploration in Asynchronous Federated Bandits
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3540-3570
Metric Learning from Limited Pairwise Preference Comparisons
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3571-3602
AutoDrop: Training Deep Learning Models with Automatic Learning Rate Drop
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3603-3629
Bias-aware Boolean Matrix Factorization Using Disentangled Representation Learning
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3630-3642
Beyond Dirichlet-based Models: When Bayesian Neural Networks Meet Evidential Deep Learning
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3643-3665
Stein Random Feature Regression
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3666-3688
Bounding causal effects with leaky instruments
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3689-3710
Robust Entropy Search for Safe Efficient Bayesian Optimization
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3711-3729
Hidden Population Estimation with Indirect Inference and Auxiliary Information
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3730-3746
GCVR: Reconstruction from Cross-View Enable Sufficient and Robust Graph Contrastive Learning
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3747-3764
Understanding Pathologies of Deep Heteroskedastic Regression
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3765-3790
Functional Wasserstein Bridge Inference for Bayesian Deep Learning
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3791-3815
RE-SORT: Removing Spurious Correlation in Multilevel Interaction for CTR Prediction
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3816-3828
Pix2Code: Learning to Compose Neural Visual Concepts as Programs
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3829-3852
Base Models for Parabolic Partial Differential Equations
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3853-3878
\ensuremathα-Former: Local-Feature-Aware (L-FA) Transformer
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3879-3892
Functional Wasserstein Variational Policy Optimization
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3893-3911
Investigating the Impact of Model Width and Density on Generalization in Presence of Label Noise
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3912-3935
Graph Contrastive Learning under Heterophily via Graph Filters
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3936-3955
Statistical and Causal Robustness for Causal Null Hypothesis Tests
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3956-3978
On Hardware-efficient Inference in Probabilistic Circuits
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3979-3996
Masking the Unknown: Leveraging Masked Samples for Enhanced Data Augmentation
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:3997-4010
Domain Adaptation with Cauchy-Schwarz Divergence
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:4011-4040
Offline Reward Perturbation Boosts Distributional Shift in Online RL
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:4041-4055
Decentralized Online Learning in General-Sum Stackelberg Games
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:4056-4077
Probabilistic reconciliation of mixed-type hierarchical time series
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:4078-4095
Dirichlet Continual Learning: Tackling Catastrophic Forgetting in NLP
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:4096-4108
Causally Abstracted Multi-armed Bandits
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:4109-4139
Partial Identification with Proxy of Latent Confoundings via Sum-of-ratios Fractional Programming
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:4140-4172
Decentralized Two-Sided Bandit Learning in Matching Market
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:4173-4191
Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:4192-4208
Neighbor Similarity and Multimodal Alignment based Product Recommendation Study
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:4209-4218
Exploring High-dimensional Search Space via Voronoi Graph Traversing
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:4219-4236
Trusted re-weighting for label distribution learning
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:4237-4249
Approximate Kernel Density Estimation under Metric-based Local Differential Privacy
; Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, PMLR 244:4250-4270
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