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Bayesian & Probabilistic

4,733 papers (2 classified directly here)

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Papers (including subtopics)

Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data AAAI 2021 Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL NeurIPS 2021 Turbocharging Treewidth-Bounded Bayesian Network Structure Learning AAAI 2021 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 VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning CVPR 2021 Value-at-Risk Optimization with Gaussian Processes ICML 2021 variational combinatorial sequential monte carlo methods for bayesian phylogenetic inference UAI 2021 Variational Continual Bayesian Meta-Learning NeurIPS 2021 Variational Intrinsic Control Revisited ICLR 2021 Variational Model-based Policy Optimization IJCAI 2021 Variational Pedestrian Detection CVPR 2021 Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data AISTATS 2021 Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels NeurIPS 2021 Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations JMLR 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 Are Bayesian Neural Network Posteriors Really Like? ICML 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 Batch Normalized Inference Network Keeps the KL Vanishing Away ACL 2020