Bayesian & Probabilistic

Social Learning in Non-Stationary Environments ALT 2022 Society of Agents: Regret Bounds of Concurrent Thompson Sampling NeurIPS 2022 Solving Marginal MAP Exactly by Probabilistic Circuit Transformations AISTATS 2022 Sparse Additive Gaussian Process Regression JMLR 2022 Sparse Communication via Mixed Distributions ICLR 2022 Sparse Gaussian Process Hyperparameters: Optimize or Integrate? NeurIPS 2022 Speeding up approximate MAP by applying domain knowledge about relevant variables PGM 2022 Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors JMLR 2022 Streaming Inference for Infinite Feature Models ICML 2022 Strictly Proper Contract Functions Can Be Arbitrage-Free AAAI 2022 Structural Agnostic Modeling: Adversarial Learning of Causal Graphs JMLR 2022 Structured Recognition for Generative Models with Explaining Away NeurIPS 2022 Structure learning algorithms for multidimensional continuous-time Bayesian network classifiers PGM 2022 Structure-Preserving Learning Using Gaussian Processes and Variational Integrators L4DC 2022 Survival Analysis for Idiopathic Pulmonary Fibrosis using CT Images and Incomplete Clinical Data MIDL 2022 Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data NeurIPS 2022 Synthsonic: Fast, Probabilistic modeling and Synthesis of Tabular Data AISTATS 2022 Tackling covariate shift with node-based Bayesian neural networks ICML 2022 Temporal Knowledge Graph Completion with Approximated Gaussian Process Embedding COLING 2022 Testing Whether a Learning Procedure is Calibrated JMLR 2022 The Boltzmann Policy Distribution: Accounting for Systematic Suboptimality in Human Models ICLR 2022 The Dual PC Algorithm for Structure Learning PGM 2022 The Effects of Invertibility on the Representational Complexity of Encoders in Variational Autoencoders ICLR 2022 The Fewer Splits are Better: Deconstructing Readability in Sentence Splitting EMNLP 2022 The Implicit Delta Method NeurIPS 2022