Probabilistic Modeling

Natural gradient enables fast sampling in spiking neural networks NeurIPS 2022 Neural-based Mixture Probabilistic Query Embedding for Answering FOL queries on Knowledge Graphs EMNLP 2022 Neural Markov Controlled SDE: Stochastic Optimization for Continuous-Time Data ICLR 2022 Neural Point Process for Learning Spatiotemporal Event Dynamics L4DC 2022 Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification EMNLP 2022 Non-Cheating Teaching Revisited: A New Probabilistic Machine Teaching Model IJCAI 2022 Non-identifiability and the Blessings of Misspecification in Models of Molecular Fitness NeurIPS 2022 Nonparametric Involutive Markov Chain Monte Carlo ICML 2022 Nonparametric Relational Models with Superrectangulation AISTATS 2022 Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes ICML 2022 Non-separable Spatio-temporal Graph Kernels via SPDEs AISTATS 2022 Nonstationary multi-output Gaussian processes via harmonizable spectral mixtures AISTATS 2022 NSNet: A General Neural Probabilistic Framework for Satisfiability Problems NeurIPS 2022 Numerical Approximations of Log Gaussian Cox Process (Student Abstract) AAAI 2022 Online Missing Value Imputation and Change Point Detection with the Gaussian Copula AAAI 2022 Online Neural Sequence Detection with Hierarchical Dirichlet Point Process NeurIPS 2022 Online Single-Microphone Source Separation using Non-Linear Autoregressive Models PGM 2022 On perfectness in Gaussian graphical models AISTATS 2022 On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks ICLR 2022 On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification NeurIPS 2022 Optimal SQ Lower Bounds for Robustly Learning Discrete Product Distributions and Ising Models COLT 2022 Overlapping Communities and Roles in Networks with Node Attributes: Probabilistic Graphical Modeling, Bayesian Formulation and Variational Inference (Extended Abstract) IJCAI 2022 Parallel Tempering With a Variational Reference NeurIPS 2022 Particle-Based Score Estimation for State Space Model Learning in Autonomous Driving CoRL 2022 Path Auxiliary Proposal for MCMC in Discrete Space ICLR 2022