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Volume 180: Uncertainty in Artificial Intelligence, 1-5 August 2022, Eindhoven, The Netherlands
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Editors: James Cussens, Kun Zhang
Mutation-driven follow the regularized leader for last-iterate convergence in zero-sum games
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1-10
NeuroBE: Escalating neural network approximations of Bucket Elimination
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:11-21
Regret guarantees for model-based reinforcement learning with long-term average constraints
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:22-31
GNN2GNN: Graph neural networks to generate neural networks
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:32-42
Neuro-symbolic entropy regularization
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:43-53
Non-parametric inference of relational dependence
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:54-63
Data dependent randomized smoothing
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:64-74
Multi-winner approval voting goes epistemic
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:75-84
Inductive synthesis of finite-state controllers for POMDPs
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:85-95
Discovery of extended summary graphs in time series
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:96-106
Asymmetric DQN for partially observable reinforcement learning
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:107-117
Physics guided neural networks for spatio-temporal super-resolution of turbulent flows
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:118-128
Byzantine-tolerant distributed multiclass sparse linear discriminant analysis
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:129-138
Equilibrium aggregation: encoding sets via optimization
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:139-149
Empirical bayes approach to truth discovery problems
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:150-158
On early extinction and the effect of travelling in the SIR model
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:159-169
Learning soft interventions in complex equilibrium systems
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:170-180
Identifying near-optimal decisions in linear-in-parameter bandit models with continuous decision sets
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:181-190
Offline change detection under contamination
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:191-201
On testability of the front-door model via Verma constraints
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:202-212
Robustness of model predictions under extension
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:213-222
Information theoretic approach to detect collusion in multi-agent games
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:223-232
Lifting in multi-agent systems under uncertainty
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:233-243
On-the-fly adaptation of patrolling strategies in changing environments
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:244-254
On the inductive bias of neural networks for learning read-once DNFs
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:255-265
AUTM flow: atomic unrestricted time machine for monotonic normalizing flows
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:266-274
Active approximately metric-fair learning
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:275-285
Capturing actionable dynamics with structured latent ordinary differential equations
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:286-295
Privacy-aware compression for federated data analysis
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:296-306
The optimal noise in noise-contrastive learning is not what you think
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:307-316
A competitive analysis of online failure-aware assignment
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:317-325
Stackmix: a complementary mix algorithm
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:326-335
Knowledge representation combining quaternion path integration and depth-wise atrous circular convolution
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:336-345
Sublinear time algorithms for greedy selection in high dimensions
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:346-356
Shoring up the foundations: fusing model embeddings and weak supervision
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:357-367
On the definition and computation of causal treewidth
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:368-377
Offline reinforcement learning under value and density-ratio realizability: The power of gaps
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:378-388
Greedy modality selection via approximate submodular maximization
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:389-399
Feature selection for discovering distributional treatment effect modifiers
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:400-410
Combating the instability of mutual information-based losses via regularization
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:411-421
A geometric method for improved uncertainty estimation in real-time
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:422-432
Cyclic test time augmentation with entropy weight method
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:433-442
Greedy equivalence search in the presence of latent confounders
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:443-452
Counterfactual inference of second Opinions
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:453-463
Variational message passing neural network for Maximum-A-Posteriori (MAP) inference
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:464-474
On provably robust meta-Bayesian optimization
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:475-485
Individual fairness in feature-based pricing for monopoly markets
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:486-495
Faster non-convex federated learning via global and local momentum
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:496-506
Multi-objective Bayesian optimization over high-dimensional search spaces
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:507-517
Bayesian structure learning with generative flow networks
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:518-528
Bayesian spillover graphs for dynamic networks
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:529-538
Multiclass classification for Hawkes processes
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:539-547
Quantification of Credal Uncertainty in Machine Learning: A Critical Analysis and Empirical Comparison
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:548-557
Balancing adaptability and non-exploitability in repeated games
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:559-568
Variational- and metric-based deep latent space for out-of-distribution detection
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:569-578
Revisiting DP-Means: fast scalable algorithms via parallelism and delayed cluster creation
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:579-588
X-MEN: guaranteed XOR-maximum entropy constrained inverse reinforcement learning
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:589-598
Improving sign-random-projection via count sketch
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:599-609
ResIST: Layer-wise decomposition of ResNets for distributed training
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:610-620
Learning explainable templated graphical models
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:621-630
SENTINEL: taming uncertainty with ensemble based distributional reinforcement learning
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:631-640
Temporal abstractions-augmented temporally contrastive learning: An alternative to the Laplacian in RL
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:641-651
Implicit kernel meta-learning using kernel integral forms
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:652-662
Self-distribution distillation: efficient uncertainty estimation
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:663-673
Sequential algorithmic modification with test data reuse
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:674-684
Estimating transfer entropy under long ranged dependencies
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:685-695
Mitigating statistical bias within differentially private synthetic data
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:696-705
Neural-progressive hedging: Enforcing constraints in reinforcement learning with stochastic programming
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:707-717
Do Bayesian variational autoencoders know what they don’t know?
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:718-727
Robust expected information gain for optimal Bayesian experimental design using ambiguity sets
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:728-737
Efficient and transferable adversarial examples from bayesian neural networks
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:738-748
Learning a neural Pareto manifold extractor with constraints
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:749-758
Modeling extremes with $d$-max-decreasing neural networks
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:759-768
Generalizing off-policy learning under sample selection bias
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:769-779
Reinforcement learning in many-agent settings under partial observability
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:780-789
Variational multiple shooting for Bayesian ODEs with Gaussian processes
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:790-799
Learning sparse representations of preferences within Choquet expected utility theory
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:800-810
Quadratic metric elicitation for fairness and beyond
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:811-821
Fast predictive uncertainty for classification with Bayesian deep networks
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:822-832
CIGMO: Categorical invariant representations in a deep generative framework
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:833-843
Near-optimal Thompson sampling-based algorithms for differentially private stochastic bandits
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:844-852
Uncertainty-aware pseudo-labeling for quantum calculations
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:853-862
A mutually exciting latent space Hawkes process model for continuous-time networks
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:863-873
Binary independent component analysis: a non-stationarity-based approach
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:874-884
Balancing utility and scalability in metric differential privacy
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:885-894
Towards painless policy optimization for constrained MDPs
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:895-905
Fedvarp: Tackling the variance due to partial client participation in federated learning
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:906-916
Orthogonal Gromov-Wasserstein discrepancy with efficient lower bound
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:917-927
If you’ve trained one you’ve trained them all: inter-architecture similarity increases with robustness
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:928-937
Decision-theoretic planning with communication in open multiagent systems
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:938-948
Optimal control of partially observable Markov decision processes with finite linear temporal logic constraints
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:949-958
Test for non-negligible adverse shifts
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:959-968
Improved feature importance computation for tree models based on the Banzhaf value
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:969-979
Dynamic relocation in ridesharing via fixpoint construction
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:980-989
Restless and uncertain: Robust policies for restless bandits via deep multi-agent reinforcement learning
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:990-1000
Combinatorial Bayesian optimization with random mapping functions to convex polytopes
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1001-1011
On the effectiveness of adversarial training against common corruptions
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1012-1021
Revisiting the general identifiability problem
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1022-1030
Hitting times for continuous-time imprecise-Markov chains
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1031-1040
Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1041-1051
Greedy relaxations of the sparsest permutation algorithm
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1052-1062
Interpolating between sampling and variational inference with infinite stochastic mixtures
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1063-1073
Systematized event-aware learning for multi-object tracking
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1074-1084
Fixing the Bethe approximation: How structural modifications in a graph improve belief propagation
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1085-1095
Recursive Monte Carlo and variational inference with auxiliary variables
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1096-1106
Solving structured hierarchical games using differential backward induction
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1107-1117
PDQ-Net: Deep probabilistic dual quaternion network for absolute pose regression on $SE(3)$
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1118-1127
Accelerating training of batch normalization: A manifold perspective
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1128-1137
Deep Dirichlet process mixture models
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1138-1147
Proportional allocation of indivisible resources under ordinal and uncertain preferences.
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1148-1157
Efficient resource allocation with fairness constraints in restless multi-armed bandits
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1158-1167
A label efficient two-sample test
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1168-1177
$\ell_∞$-Bounds of the MLE in the BTL Model under General Comparison Graphs
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1178-1187
AdaCat: Adaptive categorical discretization for autoregressive models
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1188-1198
Laplace approximated Gaussian process state-space models
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1199-1209
Dimension reduction for high-dimensional small counts with KL divergence
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1210-1220
Federated online clustering of bandits
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1221-1231
PathFlow: A normalizing flow generator that finds transition paths
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1232-1242
SASH: Efficient secure aggregation based on SHPRG for federated learning
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1243-1252
Offline policy optimization with eligible actions
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1253-1263
Data poisoning attacks on off-policy policy evaluation methods
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1264-1274
Nonparametric exponential family graph embeddings for multiple representation learning
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1275-1285
Local calibration: metrics and recalibration
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1286-1295
Data sampling affects the complexity of online SGD over dependent data
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1296-1305
Low-precision arithmetic for fast Gaussian processes
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1306-1316
Perturbation type categorization for multiple adversarial perturbation robustness
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1317-1327
A causal bandit approach to learning good atomic interventions in presence of unobserved confounders
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1328-1338
Case-based off-policy evaluation using prototype learning
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1339-1349
Multistate analysis with infinite mixtures of Markov chains
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1350-1359
Forget-me-not! Contrastive critics for mitigating posterior collapse
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1360-1370
Can mean field control (mfc) approximate cooperative multi agent reinforcement learning (marl) with non-uniform interaction?
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1371-1380
Monotonicity regularization: Improved penalties and novel applications to disentangled representation learning and robust classification
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1381-1391
Set-valued prediction in hierarchical classification with constrained representation complexity
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1392-1401
Safety aware changepoint detection for piecewise i.i.d. bandits
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1402-1412
ReVar: Strengthening policy evaluation via reduced variance sampling
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1413-1422
Probabilistic surrogate networks for simulators with unbounded randomness
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1423-1433
Data augmentation in Bayesian neural networks and the cold posterior effect
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1434-1444
Semiparametric causal sufficient dimension reduction of multidimensional treatments
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1445-1455
Partially adaptive regularized multiple regression analysis for estimating linear causal effects
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1456-1465
Efficient learning of sparse and decomposable PDEs using random projection
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1466-1476
Linearizing contextual bandits with latent state dynamics
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1477-1487
CounteRGAN: Generating counterfactuals for real-time recourse and interpretability using residual GANs
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1488-1497
Robust Bayesian recourse
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1498-1508
Efficient and accurate top-k recovery from choice data
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1509-1518
Cycle class consistency with distributional optimal transport and knowledge distillation for unsupervised domain adaptation
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1519-1529
Ordinal causal discovery
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1530-1540
An explore-then-commit algorithm for submodular maximization under full-bandit feedback
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1541-1551
Evaluating high-order predictive distributions in deep learning
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1552-1560
Understanding and mitigating the limitations of prioritized experience replay
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1561-1571
Robust learning of tractable probabilistic models
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1572-1581
Attribution of predictive uncertainties in classification models
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1582-1591
Learning large Bayesian networks with expert constraints
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1592-1601
AND/OR branch-and-bound for computational protein design optimizing K*
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1602-1612
Identifiability of sparse causal effects using instrumental variables
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1613-1622
Bayesian quantile and expectile optimisation
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1623-1633
Using hierarchies to efficiently combine evidence with Dempster’s rule of combination
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1634-1643
Voronoi density estimator for high-dimensional data: Computation, compactification and convergence
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1644-1653
Clustering a union of linear subspaces via matrix factorization and innovation search
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1654-1664
Learning in Markov games: Can we exploit a general-sum opponent?
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1665-1675
Expectation programming: Adapting probabilistic programming systems to estimate expectations efficiently
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1676-1685
A free lunch from the noise: Provable and practical exploration for representation learning
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1686-1696
Quantum perceptron revisited: Computational-statistical tradeoffs
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1697-1706
Resolving label uncertainty with implicit posterior models
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1707-1717
Feature learning and random features in standard finite-width convolutional neural networks: An empirical study
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1718-1727
Robust identifiability in linear structural equation models of causal inference
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1728-1737
How unfair is private learning?
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1738-1748
Probabilistic spatial transformer networks
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1749-1759
Learning functions on multiple sets using multi-set transformers
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1760-1770
SymNet 2.0: Effectively handling Non-Fluents and Actions in Generalized Neural Policies for RDDL Relational MDPs
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1771-1781
Reframed GES with a neural conditional dependence measure
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1782-1791
Conditional simulation using diffusion Schrödinger bridges
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1792-1802
Neural ensemble search via Bayesian sampling
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1803-1812
Shifted compression framework: generalizations and improvements
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1813-1823
PAC-Bayesian domain adaptation bounds for multiclass learners
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1824-1834
VQ-Flows: Vector quantized local normalizing flows
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1835-1845
Enhanced adaptive optics control with image to image translation
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1846-1856
Fast inference and transfer of compositional task structures for few-shot task generalization
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1857-1865
Mutual information based Bayesian graph neural network for few-shot learning
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1866-1875
SMT-based weighted model integration with structure awareness
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1876-1885
A robustness test for estimating total effects with covariate adjustment
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1886-1895
Simplified and unified analysis of various learning problems by reduction to Multiple-Instance Learning
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1896-1906
Marginal MAP estimation for inverse RL under occlusion with observer noise
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1907-1916
High-probability bounds for robust stochastic Frank-Wolfe algorithm
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1917-1927
Contrastive latent variable models for neural text generation
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1928-1938
Semi-supervised novelty detection using ensembles with regularized disagreement
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1939-1948
Efficient inference for dynamic topic modeling with large vocabularies
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1950-1959
Learning linear non-Gaussian polytree models
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1960-1969
Multi-source domain adaptation via weighted joint distributions optimal transport
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1970-1980
Towards unsupervised open world semantic segmentation
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1981-1991
Learning invariant weights in neural networks
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:1992-2001
Causal forecasting: generalization bounds for autoregressive models
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:2002-2012
Intervention target estimation in the presence of latent variables
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:2013-2023
Bayesian federated estimation of causal effects from observational data
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:2024-2034
Bias aware probabilistic Boolean matrix factorization
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:2035-2044
Meta-learning without data via Wasserstein distributionally-robust model fusion
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:2045-2055
Detecting textual adversarial examples through randomized substitution and vote
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:2056-2065
ST-MAML : A stochastic-task based method for task-heterogeneous meta-learning
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:2066-2074
Toward learning human-aligned cross-domain robust models by countering misaligned features
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:2075-2084
Generalized Bayesian quadrature with spectral kernels
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:2085-2095
Causal discovery under a confounder blanket
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:2096-2106
A new constructive criterion for Markov equivalence of MAGs
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:2107-2116
Residual bootstrap exploration for stochastic linear bandit
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:2117-2127
Differentially private multi-party data release for linear regression
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:2128-2137
Partial likelihood Thompson sampling
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:2138-2147
Fine-Grained matching with multi-perspective similarity modeling for cross-modal retrieval
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:2148-2158
Deterministic policy gradient: Convergence analysis
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:2159-2169
Finite-horizon equilibria for neuro-symbolic concurrent stochastic games
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:2170-2180
Addressing token uniformity in transformers via singular value transformation
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:2181-2191
Differentially private SGDA for minimax problems
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:2192-2202
Self-supervised representations for multi-view reinforcement learning
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:2203-2213
Robust textual embedding against word-level adversarial attacks
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:2214-2224
CoSPA: An improved masked language model with copy mechanism for Chinese spelling correction
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:2225-2234
Noisy L0-sparse subspace clustering on dimensionality reduced data
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:2235-2245
Pareto navigation gradient descent: a first-order algorithm for optimization in pareto set
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:2246-2255
Future gradient descent for adapting the temporal shifting data distribution in online recommendation systems
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:2256-2266
Superposing many tickets into one: A performance booster for sparse neural network training
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:2267-2277
Offline stochastic shortest path: Learning, evaluation and towards optimality
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:2278-2288
Active learning with label comparisons
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:2289-2298
Cross-domain adaptive transfer reinforcement learning based on state-action correspondence
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:2299-2309
Learning binary multi-scale games on networks
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:2310-2319
Predictive Whittle networks for time series
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:2320-2330
Principle of relevant information for graph sparsification
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:2331-2341
Asymptotic optimality for active learning processes
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:2342-2352
Distributed adversarial training to robustify deep neural networks at scale
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:2353-2363
Stability of SGD: Tightness analysis and improved bounds
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:2364-2373
Research on video adversarial attack with long living cycle
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:2374-2382
Causal discovery with heterogeneous observational data
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:2383-2393
Convergence Analysis of Linear Coupling with Inexact Proximal Operator
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:2394-2403
Information design for multiple independent and self-interested defenders: Work less, pay off more
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:2404-2413
Causal inference with treatment measurement error: a nonparametric instrumental variable approach
; Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, PMLR 180:2414-2424
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