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Volume 216: Uncertainty in Artificial Intelligence, 31-4 August 2023, Pittsburgh, PA, USA
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Editors: Robin J. Evans, Ilya Shpitser
SubMix: Learning to Mix Graph Sampling Heuristics
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1-10
Guided Deep Kernel Learning
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:11-21
Bounding the optimal value function in compositional reinforcement learning
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:22-32
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A decoder suffices for query-adaptive variational inference
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:33-44
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FLASH: Automating federated learning using CASH
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:45-55
Transfer learning for individual treatment effect estimation
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:56-66
Robust Gaussian process regression with the trimmed marginal likelihood
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:67-76
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Two Sides of Miscalibration: Identifying Over and Under-Confidence Prediction for Network Calibration
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:77-87
Quantifying lottery tickets under label noise: accuracy, calibration, and complexity
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:88-98
Bayesian inference approach for entropy regularized reinforcement learning with stochastic dynamics
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:99-109
Neural tangent kernel at initialization: linear width suffices
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:110-118
Do we become wiser with time? On causal equivalence with tiered background knowledge
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:119-129
Sample Boosting Algorithm (SamBA) - An interpretable greedy ensemble classifier based on local expertise for fat data
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:130-140
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Learning Choice Functions with Gaussian Processes
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:141-151
Inference of a rumor’s source in the independent cascade model
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:152-162
Best arm identification in rare events
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:163-172
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BeliefPPG: Uncertainty-aware heart rate estimation from PPG signals via belief propagation
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:173-183
Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:184-194
Correcting for selection bias and missing response in regression using privileged information
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:195-205
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Efficient Learning of Minimax Risk Classifiers in High Dimensions
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:206-215
Approximating probabilistic explanations via supermodular minimization
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:216-225
Inference for mark-censored temporal point processes
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:226-236
Testing conventional wisdom (of the crowd)
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:237-248
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Overcoming Language Priors for Visual Question Answering via Loss Rebalancing Label and Global Context
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:249-259
Scaling integer arithmetic in probabilistic programs
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:260-270
Human Control: Definitions and Algorithms
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:271-281
Scalable nonparametric Bayesian learning for dynamic velocity fields
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:282-292
Learning in online MDPs: is there a price for handling the communicating case?
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:293-302
Modified Retrace for Off-Policy Temporal Difference Learning
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:303-312
Benign Overfitting in Adversarially Robust Linear Classification
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:313-323
An effective negotiating agent framework based on deep offline reinforcement learning
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:324-335
MFA: Multi-layer Feature-aware Attack for Object Detection
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:336-346
Differential Privacy in Cooperative Multiagent Planning
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:347-357
Causal inference with outcome-dependent missingness and self-censoring
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:358-368
[abs][Download PDF][OpenReview][Software][Supplementary PDF]
Detection of Short-Term Temporal Dependencies in Hawkes Processes with Heterogeneous Background Dynamics
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:369-380
Enhancing Treatment Effect Estimation: A Model Robust Approach Integrating Randomized Experiments and External Controls using the Double Penalty Integration Estimator
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:381-390
Adaptivity Complexity for Causal Graph Discovery
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:391-402
Combinatorial categorized bandits with expert rankings
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:403-412
Parity calibration
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:413-423
Finite-sample guarantees for Nash Q-learning with linear function approximation
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:424-432
Establishing Markov equivalence in cyclic directed graphs
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:433-442
Expectation consistency for calibration of neural networks
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:443-453
Human-in-the-Loop Mixup
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:454-464
Learning to reason about contextual knowledge for planning under uncertainty
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:465-475
Blackbox optimization of unimodal functions
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:476-484
Conditional abstraction trees for sample-efficient reinforcement learning
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:485-495
Improvable Gap Balancing for Multi-Task Learning
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:496-506
CrysMMNet: Multimodal Representation for Crystal Property Prediction
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:507-517
Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:518-528
Neural probabilistic logic programming in discrete-continuous domains
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:529-538
Studying the Effect of GNN Spatial Convolutions On The Embedding Space’s Geometry
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:539-548
Deep Gaussian mixture ensembles
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:549-559
Personalized federated domain adaptation for item-to-item recommendation
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:560-570
Generating Synthetic Datasets by Interpolating along Generalized Geodesics
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:571-581
Logit-based ensemble distribution distillation for robust autoregressive sequence uncertainties
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:582-591
On the role of model uncertainties in Bayesian optimisation
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:592-601
Does Momentum Help in Stochastic Optimization? A Sample Complexity Analysis.
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:602-612
Time-Conditioned Generative Modeling of Object-Centric Representations for Video Decomposition and Prediction
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:613-623
[abs][Download PDF][OpenReview][Software][Supplementary PDF]
Information theoretic clustering via divergence maximization among clusters
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:624-634
In- or out-of-distribution detection via dual divergence estimation
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:635-646
A Data-Driven State Aggregation Approach for Dynamic Discrete Choice Models
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:647-657
Quasi-Bayesian nonparametric density estimation via autoregressive predictive updates
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:658-668
Copula-based deep survival models for dependent censoring
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:669-680
Probabilistically robust conformal prediction
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:681-690
Fast and scalable score-based kernel calibration tests
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:691-700
Vacant holes for unsupervised detection of the outliers in compact latent representation
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:701-711
Piecewise Deterministic Markov Processes for Bayesian Neural Networks
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:712-722
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A scalable Walsh-Hadamard regularizer to overcome the low-degree spectral bias of neural networks
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:723-733
Stochastic Graphical Bandits with Heavy-Tailed Rewards
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:734-744
Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:745-755
[abs][Download PDF][OpenReview][Software][Supplementary PDF]
Functional causal Bayesian optimization
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:756-765
Causal Discovery for time series from multiple datasets with latent contexts
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:766-776
[abs][Download PDF][OpenReview][Software][Supplementary PDF]
Sufficient identification conditions and semiparametric estimation under missing not at random mechanisms
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:777-787
[abs][Download PDF][OpenReview][Software][Supplementary PDF]
Interpretable differencing of machine learning models
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:788-797
[abs][Download PDF][OpenReview][Software][Supplementary PDF]
Differentiable user models
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:798-808
On the Convergence of Continual Learning with Adaptive Methods
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:809-818
Revisiting Bayesian network learning with small vertex cover
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:819-828
On inference and learning with probabilistic generating circuits
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:829-838
Inference and sampling of point processes from diffusion excursions
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:839-848
Loosely consistent emphatic temporal-difference learning
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:849-859
[abs][Download PDF][OpenReview][Software][Supplementary PDF]
Scalable and robust tensor ring decomposition for large-scale data
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:860-869
Massively parallel reweighted wake-sleep
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:870-878
Increasing effect sizes of pairwise conditional independence tests between random vectors
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:879-889
Optimistic Thompson Sampling-based algorithms for episodic reinforcement learning
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:890-899
ASTRA: Understanding the practical impact of robustness for probabilistic programs
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:900-910
[abs][Download PDF][OpenReview][Software][Supplementary PDF]
A near-optimal high-probability swap-Regret upper bound for multi-agent bandits in unknown general-sum games
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:911-921
Posterior sampling-based online learning for the stochastic shortest path model
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:922-931
Investigating a Generalization of Probabilistic Material Implication and Bayesian Conditionals
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:932-940
Robust statistical comparison of random variables with locally varying scale of measurement
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:941-952
Noisy adversarial representation learning for effective and efficient image obfuscation
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:953-962
Incentivising Diffusion while Preserving Differential Privacy
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:963-972
Content Sharing Design for Social Welfare in Networked Disclosure Game
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:973-983
Multi-view graph contrastive learning for solving vehicle routing problems
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:984-994
Bayesian inference for vertex-series-parallel partial orders
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:995-1004
Nyström $M$-Hilbert-Schmidt independence criterion
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1005-1015
Causal Discovery with Hidden Confounders using the Algorithmic Markov Condition
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1016-1026
Heavy-tailed linear bandit with Huber regression
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1027-1036
Fed-LAMB: Layer-wise and Dimension-wise Locally Adaptive Federated Learning
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1037-1046
Assessing the Impact of Context Inference Error and Partial Observability on RL Methods for Just-In-Time Adaptive Interventions
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1047-1057
How to use dropout correctly on residual networks with batch normalization
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1058-1067
Phase-shifted adversarial training
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1068-1077
On Identifiability of Conditional Causal Effects
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1078-1086
Causal effect estimation from observational and interventional data through matrix weighted linear estimators
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1087-1097
Universal Graph Contrastive Learning with a Novel Laplacian Perturbation
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1098-1108
Molecule Design by Latent Space Energy-Based Modeling and Gradual Distribution Shifting
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1109-1120
Reward-machine-guided, self-paced reinforcement learning
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1121-1131
[abs][Download PDF][OpenReview][Software][Supplementary PDF]
Risk-aware curriculum generation for heavy-tailed task distributions
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1132-1142
[abs][Download PDF][OpenReview][Software][Supplementary PDF]
Differentially private synthetic data using KD-trees
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1143-1153
Optimal Budget Allocation for Crowdsourcing Labels for Graphs
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1154-1163
Fixed-Budget Best-Arm Identification with Heterogeneous Reward Variances
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1164-1173
Variable importance matching for causal inference
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1174-1184
Towards better certified segmentation via diffusion models
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1185-1195
Finding Invariant Predictors Efficiently via Causal Structure
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1196-1206
[abs][Download PDF][OpenReview][Software][Supplementary PDF]
When are post-hoc conceptual explanations identifiable?
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1207-1218
Memory Mechanism for Unsupervised Anomaly Detection
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1219-1229
Nonconvex stochastic scaled gradient descent and generalized eigenvector problems
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1230-1240
Gaussian Process Surrogate Models for Neural Networks
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1241-1252
CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1253-1262
BISCUIT: Causal Representation Learning from Binary Interactions
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1263-1273
Accelerating Voting by Quantum Computation
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1274-1283
Residual-based error bound for physics-informed neural networks
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1284-1293
No-Regret Linear Bandits beyond Realizability
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1294-1303
Benefits of monotonicity in safe exploration with Gaussian processes
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1304-1314
Practical privacy-preserving Gaussian process regression via secret sharing
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1315-1325
DeepGD3: Unknown-Aware Deep Generative/Discriminative Hybrid Defect Detector for PCB Soldering Inspection
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1326-1335
Federated learning of models pre-trained on different features with consensus graphs
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1336-1346
Random Reshuffling with Variance Reduction: New Analysis and Better Rates
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1347-1357
The Shrinkage-Delinkage Trade-off: an Analysis of Factorized Gaussian Approximations for Variational Inference
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1358-1367
Partial identification of dose responses with hidden confounders
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1368-1379
Knowledge Intensive Learning of Cutset Networks
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1380-1389
TCE: A Test-Based Approach to Measuring Calibration Error
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1390-1400
Causal information splitting: Engineering proxy features for robustness to distribution shifts
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1401-1411
[abs][Download PDF][OpenReview][Software][Supplementary PDF]
KrADagrad: Kronecker approximation-domination gradient preconditioned stochastic optimization
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1412-1422
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On the Relation between Policy Improvement and Off-Policy Minimum-Variance Policy Evaluation
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1423-1433
On Minimizing the Impact of Dataset Shifts on Actionable Explanations
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1434-1444
[abs][Download PDF][OpenReview][Software][Supplementary PDF]
Adaptive Conditional Quantile Neural Processes
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1445-1455
Composing Efficient, Robust Tests for Policy Selection
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1456-1466
On Testability and Goodness of Fit Tests in Missing Data Models
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1467-1477
Active metric learning and classification using similarity queries
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1478-1488
Two-phase Attacks in Security Games
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1489-1498
Keep-Alive Caching for the Hawkes process
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1499-1509
Simple Transferability Estimation for Regression Tasks
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1510-1521
Probabilistic Multi-Dimensional Classification
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1522-1533
Efficient Failure Pattern Identification of Predictive Algorithms
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1534-1544
Size-constrained k-submodular maximization in near-linear time
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1545-1554
An improved variational approximate posterior for the deep Wishart process
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1555-1563
Incentivizing honest performative predictions with proper scoring rules
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1564-1574
[abs][Download PDF][OpenReview][Software][Supplementary PDF]
Graph classification Gaussian processes via spectral features
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1575-1585
Approximate Thompson Sampling via Epistemic Neural Networks
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1586-1595
Structure-aware robustness certificates for graph classification
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1596-1605
Bayesian numerical integration with neural networks
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1606-1617
Maximizing submodular functions under submodular constraints
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1618-1627
Stochastic Generative Flow Networks
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1628-1638
[abs][Download PDF][OpenReview][Software][Supplementary PDF]
Multi-View Independent Component Analysis with Shared and Individual Sources
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1639-1650
Copula for Instance-wise Feature Selection and Rank
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1651-1661
Boosting AND/OR-based computational protein design: dynamic heuristics and generalizable UFO
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1662-1672
Exact Count of Boundary Pieces of ReLU Classifiers: Towards the Proper Complexity Measure for Classification
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1673-1683
Split, count, and share: a differentially private set intersection cardinality estimation protocol
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1684-1694
Jana: Jointly amortized neural approximation of complex Bayesian models
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1695-1706
[abs][Download PDF][OpenReview][Software][Supplementary PDF]
USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1707-1717
Contrastive learning for supervised graph matching
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1718-1729
Validation of composite systems by discrepancy propagation
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1730-1740
Inference for probabilistic dependency graphs
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1741-1751
The past does matter: correlation of subsequent states in trajectory predictions of Gaussian Process models
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1752-1761
Approximately Bayes-optimal pseudo-label selection
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1762-1773
Hallucinated adversarial control for conservative offline policy evaluation
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1774-1784
Semi-supervised learning of partial differential operators and dynamical flows
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1785-1794
Is the volume of a credal set a good measure for epistemic uncertainty?
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1795-1804
Heteroskedastic Geospatial Tracking with Distributed Camera Networks
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1805-1814
Online Heavy-tailed Change-point detection
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1815-1826
Learning good interventions in causal graphs via covering
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1827-1836
Local Message Passing on Frustrated Systems
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1837-1846
Lifelong bandit optimization: no prior and no regret
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1847-1857
Learning from Low Rank Tensor Data: A Random Tensor Theory Perspective
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1858-1867
MDPose: real-time multi-person pose estimation via mixture density model
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1868-1878
Mnemonist: Locating Model Parameters that Memorize Training Examples
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1879-1888
Implicit Training of Inference Network Models for Structured Prediction
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1889-1899
Efficiently learning the graph for semi-supervised learning
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1900-1910
Counting Background Knowledge Consistent Markov Equivalent Directed Acyclic Graphs
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1911-1920
SymNet 3.0: Exploiting Long-Range Influences in Learning Generalized Neural Policies for Relational MDPs
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1921-1931
Risk-limiting financial audits via weighted sampling without replacement
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1932-1941
Learning Nonlinear Causal Effect via Kernel Anchor Regression
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1942-1952
A Bayesian approach for bandit online optimization with switching cost
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1953-1963
Probabilistic Flow Circuits: Towards Unified Deep Models for Tractable Probabilistic Inference
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1964-1973
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On the limitations of Markovian rewards to express multi-objective, risk-sensitive, and modal tasks
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1974-1984
Aligned Diffusion Schrödinger Bridges
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1985-1995
ViBid: Linear Vision Transformer with Bidirectional Normalization
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:1996-2005
Fast Heterogeneous Federated Learning with Hybrid Client Selection
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2006-2015
Solving multi-model MDPs by coordinate ascent and dynamic programming
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2016-2025
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Differentially Private Stochastic Convex Optimization in (Non)-Euclidean Space Revisited
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2026-2035
On the informativeness of supervision signals
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2036-2046
Meta-learning Control Variates: Variance Reduction with Limited Data
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2047-2057
Pandering in a (flexible) representative democracy
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2058-2068
Locally Regularized Sparse Graph by Fast Proximal Gradient Descent
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2069-2077
Why Out-of-Distribution detection experiments are not reliable - subtle experimental details muddle the OOD detector rankings
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2078-2088
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Exploiting Inferential Structure in Neural Processes
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2089-2098
Two-stage Kernel Bayesian Optimization in High Dimensions
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2099-2110
Low-rank matrix recovery with unknown correspondence
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2111-2122
Fairness-aware class imbalanced learning on multiple subgroups
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2123-2133
SPDF: Sparse Pre-training and Dense Fine-tuning for Large Language Models
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2134-2146
Bandits with costly reward observations
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2147-2156
Probabilistic circuits that know what they don’t know
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2157-2167
A policy gradient approach for optimization of smooth risk measures
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2168-2178
Birds of an odd feather: guaranteed out-of-distribution (OOD) novel category detection
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2179-2191
Exploration for Free: How Does Reward Heterogeneity Improve Regret in Cooperative Multi-agent Bandits?
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2192-2202
Efficient Privacy-Preserving Stochastic Nonconvex Optimization
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2203-2213
Diversity-enhanced probabilistic ensemble for uncertainty estimation
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2214-2225
A trajectory is worth three sentences: multimodal transformer for offline reinforcement learning
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2226-2236
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Robust distillation for worst-class performance: on the interplay between teacher and student objectives
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2237-2247
A constrained Bayesian approach to out-of-distribution prediction
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2248-2258
On the Role of Generalization in Transferability of Adversarial Examples
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2259-2270
Bidirectional Attention as a Mixture of Continuous Word Experts
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2271-2281
Quantifying aleatoric and epistemic uncertainty in machine learning: Are conditional entropy and mutual information appropriate measures?
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2282-2292
Learning To Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2293-2303
Uniform-PAC Guarantees for Model-Based RL with Bounded Eluder Dimension
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2304-2313
Robust Quickest Change Detection for Unnormalized Models
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2314-2323
A one-sample decentralized proximal algorithm for non-convex stochastic composite optimization
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2324-2334
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Two-stage holistic and contrastive explanation of image classification
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2335-2345
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Conformal Risk Control for Ordinal Classification
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2346-2355
$E(2)$-Equivariant Vision Transformer
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2356-2366
Provably Efficient Adversarial Imitation Learning with Unknown Transitions
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2367-2378
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Pessimistic Model Selection for Offline Deep Reinforcement Learning
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2379-2389
Mixture of Normalizing Flows for European Option Pricing
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2390-2399
Multi-modal differentiable unsupervised feature selection
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2400-2410
MMEL: A Joint Learning Framework for Multi-Mention Entity Linking
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2411-2421
Mitigating Transformer Overconfidence via Lipschitz Regularization
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2422-2432
Towards Physically Reliable Molecular Representation Learning
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2433-2443
Monte-Carlo Search for an Equilibrium in Dec-POMDPs
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2444-2453
Online estimation of similarity matrices with incomplete data
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2454-2464
Fast Teammate Adaptation in the Presence of Sudden Policy Change
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2465-2476
Energy-based Predictive Representations for Partially Observed Reinforcement Learning
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2477-2487
Provably efficient representation selection in Low-rank Markov Decision Processes: from online to offline RL
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2488-2497
Graph Self-supervised Learning via Proximity Distribution Minimization
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2498-2508
Greed is good: correspondence recovery for unlabeled linear regression
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2509-2518
Conditional counterfactual causal effect for individual attribution
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2519-2528
Conditionally optimistic exploration for cooperative deep multi-agent reinforcement learning
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2529-2540
RDM-DC: Poisoning Resilient Dataset Condensation with Robust Distribution Matching
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2541-2550
Learning robust representation for reinforcement learning with distractions by reward sequence prediction
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2551-2562
Convergence rates for localized actor-critic in networked Markov potential games
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2563-2573
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AUC Maximization in Imbalanced Lifelong Learning
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2574-2585
Private Prediction Strikes Back! Private Kernelized Nearest Neighbors with Individual Rényi Filter
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2586-2596
[abs][Download PDF][OpenReview][Software][Supplementary PDF]
MixupE: Understanding and improving Mixup from directional derivative perspective
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2597-2607
Regularized online DR-submodular optimization
; Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, PMLR 216:2608-2617
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