Bayesian Inference

Layering-MCMC for Structure Learning in Bayesian Networks UAI 2020 Learning from Binary Multiway Data: Probabilistic Tensor Decomposition and its Statistical Optimality JMLR 2020 Learning General Latent-Variable Graphical Models with Predictive Belief Propagation AAAI 2020 Learning Informative Representations of Biomedical Relations with Latent Variable Models EMNLP 2020 Learning Interpretable Relationships between Entities, Relations and Concepts via Bayesian Structure Learning on Open Domain Facts ACL 2020 Learning Joint Articulatory-Acoustic Representations with Normalizing Flows Interspeech 2020 Learning of Sub-optimal Gait Controllers for Magnetic Walking Soft Millirobots RSS 2020 Learning spectrograms with convolutional spectral kernels AISTATS 2020 Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks ICLR 2020 Learning To Stop While Learning To Predict ICML 2020 Learning under Model Misspecification: Applications to Variational and Ensemble methods NeurIPS 2020 Learning Weighted Model Integration Distributions AAAI 2020 Learning Weighted Submanifolds With Variational Autoencoders and Riemannian Variational Autoencoders CVPR 2020 Learning with Labeled and Unlabeled Multi-Step Transition Data for Recovering Markov Chain from Incomplete Transition Data IJCAI 2020 Leave-One-Out Cross-Validation for Bayesian Model Comparison in Large Data AISTATS 2020 Leveraging Document-Level Label Consistency for Named Entity Recognition IJCAI 2020 Liberty or Depth: Deep Bayesian Neural Nets Do Not Need Complex Weight Posterior Approximations NeurIPS 2020 Lifted Query Answering in Gaussian Bayesian Networks PGM 2020 Likelihood-free MCMC with Amortized Approximate Ratio Estimators ICML 2020 Localizing and Amortizing: Efficient Inference for Gaussian Processes ACML 2020 Logsmooth Gradient Concentration and Tighter Runtimes for Metropolized Hamiltonian Monte Carlo COLT 2020 Low Resource Sequence Tagging with Weak Labels AAAI 2020 Making Sense of Reinforcement Learning and Probabilistic Inference ICLR 2020 Manifold GPLVMs for discovering non-Euclidean latent structure in neural data NeurIPS 2020 Markovian Score Climbing: Variational Inference with KL(p||q) NeurIPS 2020