[edit]
Volume 124: Conference on Uncertainty in Artificial Intelligence, 3-6 August 2020, Virtual
[edit]
Editors: Jonas Peters, David Sontag
Semi-supervised learning, causality, and the conditional cluster assumption
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1-10
Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:11-20
PAC-Bayesian Contrastive Unsupervised Representation Learning
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:21-30
Static and Dynamic Values of Computation in MCTS
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:31-40
Kernel Conditional Moment Test via Maximum Moment Restriction
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:41-50
Bounding the expected run-time of nonconvex optimization with early stopping
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:51-60
Amortized variance reduction for doubly stochastic objective
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:61-70
Randomized Exploration for Non-Stationary Stochastic Linear Bandits
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:71-80
Divergence-Based Motivation for Online EM and Combining Hidden Variable Models
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:81-90
[abs][Download PDF]
Iterative Channel Estimation for Discrete Denoising under Channel Uncertainty
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:91-100
Nonparametric Fisher Geometry with Application to Density Estimation
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:101-110
Learning Intrinsic Rewards as a Bi-Level Optimization Problem
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:111-120
Regret Bounds for Decentralized Learning in Cooperative Multi-Agent Dynamical Systems
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:121-130
Learning Behaviors with Uncertain Human Feedback
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:131-140
[abs][Download PDF]
Regret Analysis of Bandit Problems with Causal Background Knowledge
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:141-150
Evaluation of Causal Structure Learning Algorithms via Risk Estimation
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:151-160
Kidney Exchange with Inhomogeneous Edge Existence Uncertainty
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:161-170
On the design of consequential ranking algorithms
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:171-180
Fair Contextual Multi-Armed Bandits: Theory and Experiments
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:181-190
Submodular Bandit Problem Under Multiple Constraints
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:191-200
Exploration Analysis in Finite-Horizon Turn-based Stochastic Games
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:201-210
Amortized Nesterov’s Momentum: A Robust Momentum and Its Application to Deep Learning
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:211-220
Testing Goodness of Fit of Conditional Density Models with Kernels
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:221-230
Scalable and Flexible Clustering of Grouped Data via Parallel and Distributed Sampling in Versatile Hierarchical Dirichlet Processes
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:231-240
Statistically Efficient Greedy Equivalence Search
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:241-249
Robust Collective Classification against Structural Attacks
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:250-259
Efficient Rollout Strategies for Bayesian Optimization
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:260-269
IDA with Background Knowledge
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:270-279
Complete Dictionary Learning via $\ell_p$-norm Maximization
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:280-289
Collapsible IDA: Collapsing Parental Sets for Locally Estimating Possible Causal Effects
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:290-299
Learning Joint Nonlinear Effects from Single-variable Interventions in the Presence of Hidden Confounders
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:300-309
Causal screening in dynamical systems
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:310-319
Bayesian Online Prediction of Change Points
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:320-329
Walking on Two Legs: Learning Image Segmentation with Noisy Labels
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:330-339
[abs][Download PDF]
Election Control by Manipulating Issue Significance
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:340-349
[abs][Download PDF]
Coresets for Estimating Means and Mean Square Error with Limited Greedy Samples
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:350-359
Robust Spatial-Temporal Incident Prediction
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:360-369
[abs][Download PDF]
Lagrangian Decomposition for Neural Network Verification
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:370-379
Robust modal regression with direct gradient approximation of modal regression risk
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:380-389
A Simple Online Algorithm for Competing with Dynamic Comparators
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:390-399
Skewness Ranking Optimization for Personalized Recommendation
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:400-409
[abs][Download PDF]
High Dimensional Discrete Integration over the Hypergrid
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:410-419
Neural Likelihoods via Cumulative Distribution Functions
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:420-429
Unknown mixing times in apprenticeship and reinforcement learning
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:430-439
TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:440-449
[abs][Download PDF]
What You See May Not Be What You Get: UCB Bandit Algorithms Robust to $\varepsilon$-Contamination
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:450-459
The Hawkes Edge Partition Model for Continuous-time Event-based Temporal Networks
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:460-469
Learning by Repetition: Stochastic Multi-armed Bandits under Priming Effect
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:470-479
Compositional uncertainty in deep Gaussian processes
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:480-489
Streaming Nonlinear Bayesian Tensor Decomposition
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:490-499
Relaxed Multivariate Bernoulli Distribution and Its Applications to Deep Generative Models
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:500-509
[abs][Download PDF]
One-Bit Compressed Sensing via One-Shot Hard Thresholding
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:510-519
[abs][Download PDF]
GPIRT: A Gaussian Process Model for Item Response Theory
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:520-529
Identifying causal effects in maximally oriented partially directed acyclic graphs
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:530-539
Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:540-549
[abs][Download PDF]
Q* Approximation Schemes for Batch Reinforcement Learning: A Theoretical Comparison
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:550-559
Towards Threshold Invariant Fair Classification
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:560-569
[abs][Download PDF]
Optimal Statistical Hypothesis Testing for Social Choice
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:570-579
A SUPER* Algorithm to Optimize Paper Bidding in Peer Review
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:580-589
Measurement Dependence Inducing Latent Causal Models
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:590-599
[abs][Download PDF]
The Indian Chefs Process
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:600-608
Spectral Methods for Ranking with Scarce Data
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:609-618
Anchored Causal Inference in the Presence of Measurement Error
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:619-628
How Private Are Commonly-Used Voting Rules?
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:629-638
Differentially Private Small Dataset Release Using Random Projections
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:639-648
Semi-supervised Sequential Generative Models
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:649-658
Robust contrastive learning and nonlinear ICA in the presence of outliers
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:659-668
Selling Data at an Auction under Privacy Constraints
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:669-678
Mixed-Membership Stochastic Block Models for Weighted Networks
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:679-688
MaskAAE: Latent space optimization for Adversarial Auto-Encoders
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:689-698
Slice Sampling for General Completely Random Measures
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:699-708
Semi-Supervised Learning: the Case When Unlabeled Data is Equally Useful
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:709-718
Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:719-728
Complex Markov Logic Networks: Expressivity and Liftability
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:729-738
[abs][Download PDF]
Faster algorithms for Markov equivalence
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:739-748
Verifying Individual Fairness in Machine Learning Models
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:749-758
An Interpretable and Sample Efficient Deep Kernel for Gaussian Process
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:759-768
Amortized Bayesian Optimization over Discrete Spaces
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:769-778
[abs][Download PDF]
Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:779-788
Deep Sigma Point Processes
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:789-798
Robust $k$-means++
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:799-808
On Counterfactual Explanations under Predictive Multiplicity
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:809-818
A Practical Riemannian Algorithm for Computing Dominant Generalized Eigenspace
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:819-828
No-regret Exploration in Contextual Reinforcement Learning
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:829-838
Layering-MCMC for Structure Learning in Bayesian Networks
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:839-848
C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:849-858
Stochastic Variational Inference for Dynamic Correlated Topic Models
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:859-868
[abs][Download PDF]
Adversarial Learning for 3D Matching
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:869-878
Ordering Variables for Weighted Model Integration
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:879-888
[abs][Download PDF]
Online Parameter-Free Learning of Multiple Low Variance Tasks
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:889-898
Zeroth Order Non-convex optimization with Dueling-Choice Bandits
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:899-908
Semi-bandit Optimization in the Dispersed Setting
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:909-918
Adapting Text Embeddings for Causal Inference
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:919-928
[abs][Download PDF]
Joint Stochastic Approximation and Its Application to Learning Discrete Latent Variable Models
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:929-938
Hidden Markov Nonlinear ICA: Unsupervised Learning from Nonstationary Time Series
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:939-948
Identification and Estimation of Causal Effects Defined by Shift Interventions
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:949-958
Risk Bounds for Low Cost Bipartite Ranking
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:959-968
[abs][Download PDF]
Multitask Soft Option Learning
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:969-978
99% of Worker-Master Communication in Distributed Optimization Is Not Needed
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:979-988
Graphical continuous Lyapunov models
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:989-998
[abs][Download PDF]
Structure Learning for Cyclic Linear Causal Models
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:999-1008
[abs][Download PDF]
Sensor Placement for Spatial Gaussian Processes with Integral Observations
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1009-1018
Active Model Estimation in Markov Decision Processes
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1019-1028
Dueling Posterior Sampling for Preference-Based Reinforcement Learning
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1029-1038
Permutation-Based Causal Structure Learning with Unknown Intervention Targets
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1039-1048
MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1049-1058
Popularity Agnostic Evaluation of Knowledge Graph Embeddings
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1059-1068
[abs][Download PDF]
Learning LWF Chain Graphs: A Markov Blanket Discovery Approach
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1069-1078
Batch norm with entropic regularization turns deterministic autoencoders into generative models
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1079-1088
Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1089-1098
Generalized Policy Elimination: an efficient algorithm for Nonparametric Contextual Bandits
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1099-1108
Differentially Private Top-k Selection via Stability on Unknown Domain
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1109-1118
Active Learning of Conditional Mean Embeddings via Bayesian Optimisation
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1119-1128
Flexible Prior Elicitation via the Prior Predictive Distribution
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1129-1138
Model-Augmented Conditional Mutual Information Estimation for Feature Selection
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1139-1148
Finite-Memory Near-Optimal Learning for Markov Decision Processes with Long-Run Average Reward
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1149-1158
Constraint-Based Causal Discovery using Partial Ancestral Graphs in the presence of Cycles
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1159-1168
Estimation Rates for Sparse Linear Cyclic Causal Models
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1169-1178
Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1179-1187
On the Relationship Between Probabilistic Circuits and Determinantal Point Processes
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1188-1197
Probabilistic Safety for Bayesian Neural Networks
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1198-1207
Distortion estimates for approximate Bayesian inference
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1208-1217
Mutual Information Based Knowledge Transfer Under State-Action Dimension Mismatch
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1218-1227
Provably Efficient Third-Person Imitation from Offline Observation
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1228-1237
Automated Dependence Plots
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1238-1247
EiGLasso: Scalable Estimation of Cartesian Product of Sparse Inverse Covariance Matrices
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1248-1257
[abs][Download PDF]
Improved Vector Pruning in Exact Algorithms for Solving POMDPs
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1258-1267
[abs][Download PDF]
Symbolic Querying of Vector Spaces: Probabilistic Databases Meets Relational Embeddings
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1268-1277
[abs][Download PDF]
Learning to learn generative programs with Memoised Wake-Sleep
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1278-1287
Flexible Approximate Inference via Stratified Normalizing Flows
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1288-1297
Bounded Rationality in Las Vegas: Probabilistic Finite Automata Play Multi-Armed Bandits
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1298-1307
[abs][Download PDF]
Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1308-1317
Non Parametric Graph Learning for Bayesian Graph Neural Networks
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1318-1327
Stable Policy Optimization via Off-Policy Divergence Regularization
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1328-1337
PoRB-Nets: Poisson Process Radial Basis Function Networks
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1338-1347
Deriving Bounds And Inequality Constraints Using Logical Relations Among Counterfactuals
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1348-1357
Locally Masked Convolution for Autoregressive Models
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1358-1367
Time Series Analysis using a Kernel based Multi-Modal Uncertainty Decomposition Framework
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1368-1377
[abs][Download PDF]
OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1378-1387
Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets
; Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124:1388-1397
subscribe via RSS