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 Estimation of Statistical Divergences JMLR 2022 Neural Inverse Transform Sampler ICML 2022 Noise Robust Core-stable Coalitions of Hedonic Games ACML 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 Embeddings of Sparse High-Order Interaction Events ICML 2022 Nonparametric Forest-Structured Neural Topic Modeling COLING 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 NP-Match: When Neural Processes meet Semi-Supervised Learning ICML 2022 NSNet: A General Neural Probabilistic Framework for Satisfiability Problems NeurIPS 2022 Numerical Approximations of Log Gaussian Cox Process (Student Abstract) AAAI 2022 Obtaining Causal Information by Merging Datasets with MAXENT AISTATS 2022 Offer a Different Perspective: Modeling the Belief Alignment of Arguments in Multi-party Debates EMNLP 2022 On Learning Mixture Models with Sparse Parameters AISTATS 2022 On Linear Model with Markov Signal Priors AISTATS 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 PAC-Bayesian reconstruction guarantees for VAEs AISTATS 2022 On perfectness in Gaussian graphical models AISTATS 2022 On the expressivity of bi-Lipschitz normalizing flows ACML 2022 On the probability–quality paradox in language generation ACL 2022