Bayesian & Probabilistic

Platt-Bin: Efficient Posterior Calibrated Training for NLP Classifiers ACL 2022 Policy Gradients Incorporating the Future ICLR 2022 Posterior and Computational Uncertainty in Gaussian Processes NeurIPS 2022 Posterior Collapse of a Linear Latent Variable Model NeurIPS 2022 Posterior Matching for Arbitrary Conditioning NeurIPS 2022 PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model AAAI 2022 Probabilistic Adaptive Spatial-Temporal Regularized Correlation Filters for UAV Tracking ACML 2022 Probabilistic Fusion of Neural Networks that Incorporates Global Information ACML 2022 Probabilistic Missing Value Imputation for Mixed Categorical and Ordered Data NeurIPS 2022 Probabilistic Numerical Method of Lines for Time-Dependent Partial Differential Equations AISTATS 2022 Probabilistic Spherical Discriminant Analysis: An Alternative to PLDA for length-normalized embeddings Interspeech 2022 Probable Domain Generalization via Quantile Risk Minimization NeurIPS 2022 Random Effect Bandits AISTATS 2022 Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems NeurIPS 2022 Rate of Convergence of Polynomial Networks to Gaussian Processes COLT 2022 Reconstructing Diffusion Networks from Incomplete Data IJCAI 2022 Recoverability Landscape of Tree Structured Markov Random Fields under Symmetric Noise AISTATS 2022 Recursive autonomy identification-based learning of augmented naive Bayes classifiers PGM 2022 Regret Bounds for Information-Directed Reinforcement Learning NeurIPS 2022 Reinforcement Learning in Presence of Discrete Markovian Context Evolution ICLR 2022 Relational Neural Markov Random Fields AISTATS 2022 Rethinking Variational Inference for Probabilistic Programs with Stochastic Support NeurIPS 2022 Revisiting Active Sets for Gaussian Process Decoders NeurIPS 2022 Revisiting Design Choices in Offline Model Based Reinforcement Learning ICLR 2022 Riemannian Diffusion Models NeurIPS 2022