Probabilistic Modeling

Uncertain-aware Safe Exploratory Planning using Gaussian Process and Neural Control Contraction Metric L4DC 2021 Uncertainty-Aware Multi-View Representation Learning AAAI 2021 UNIPoint: Universally Approximating Point Processes Intensities AAAI 2021 Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding IJCAI 2021 User-Level Differentially Private Learning via Correlated Sampling NeurIPS 2021 Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled Data ICML 2021 Weighted model counting with conditional weights for Bayesian networks UAI 2021 What Does Your Smile Mean? Jointly Detecting Multi-Modal Sarcasm and Sentiment Using Quantum Probability EMNLP 2021 When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting NeurIPS 2021 Whittle Networks: A Deep Likelihood Model for Time Series ICML 2021 A Bayesian Approach for Estimating Causal Effects from Observational Data AAAI 2020 ACFlow: Flow Models for Arbitrary Conditional Likelihoods ICML 2020 A Complete Characterization of Projectivity for Statistical Relational Models IJCAI 2020 A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning Interspeech 2020 Advances in Using Grammars with Latent Annotations for Discontinuous Parsing ACL 2020 Aggregation of Perspectives Using the Constellations Approach to Probabilistic Argumentation AAAI 2020 aGrUM/pyAgrum : a toolbox to build models and algorithms for Probabilistic Graphical Models in Python PGM 2020 A Kernel Mean Embedding Approach to Reducing Conservativeness in Stochastic Programming and Control L4DC 2020 Algorithms for Estimating the Partition Function of Restricted Boltzmann Machines (Extended Abstract) IJCAI 2020 Almost No News on the Complexity of MAP in Bayesian Networks PGM 2020 Amortized variance reduction for doubly stochastic objective UAI 2020 An Efficient Low-Rank Tensors Representation for Algorithms in Complex Probabilistic Graphical Models PGM 2020 A New Class of Time Dependent Latent Factor Models with Applications JMLR 2020 A New Perspective on Learning Context-Specific Independence PGM 2020 An Online Semantic-enhanced Dirichlet Model for Short Text Stream Clustering ACL 2020