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Bayesian Inference

4,821 papers

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Papers

q-Paths: Generalizing the geometric annealing path using power means UAI 2021
Capturing Uncertainty in Unsupervised GPS Trajectory Segmentation Using Bayesian Deep Learning AAAI 2021
SKIing on Simplices: Kernel Interpolation on the Permutohedral Lattice for Scalable Gaussian Processes ICML 2021
Learning Accurate Dense Correspondences and When To Trust Them CVPR 2021
Probabilistic Tensor Decomposition of Neural Population Spiking Activity NIPS 2021
Regressing Location on Text for Probabilistic Geocoding IJCNLP 2021
PALM: Probabilistic area loss Minimization for Protein Sequence Alignment UAI 2021
Conformal Bayesian Computation NIPS 2021
Locally Valid and Discriminative Prediction Intervals for Deep Learning Models NIPS 2021
Accelerating Metropolis-Hastings with Lightweight Inference Compilation AISTATS 2021
Reinforcement Learning in Parametric MDPs with Exponential Families AISTATS 2021
Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inference IJCNLP 2021
No-regret Algorithms for Multi-task Bayesian Optimization AISTATS 2021
Probabilistic Attention for Interactive Segmentation NIPS 2021
Inference in Stochastic Epidemic Models via Multinomial Approximations AISTATS 2021
Bayesian Deep Learning via Subnetwork Inference ICML 2021
Bayesian Bellman Operators NIPS 2021
Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models NIPS 2021
Uncertainty Reduction for Model Adaptation in Semantic Segmentation CVPR 2021
Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection IJCNLP 2021
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty ICML 2021
Variational Continual Bayesian Meta-Learning NIPS 2021
Information Directed Reward Learning for Reinforcement Learning NIPS 2021
Bayesian time-aligned factor analysis of paired multivariate time series JMLR 2021
Sequential core-set Monte Carlo UAI 2021