Probabilistic Modeling

Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning NeurIPS 2024 DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems ICML 2024 Efficient Detection of Commutative Factors in Factor Graphs PGM 2024 Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning AISTATS 2024 Energy-based Epistemic Uncertainty for Graph Neural Networks NeurIPS 2024 Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces NeurIPS 2024 Energy-Guided Continuous Entropic Barycenter Estimation for General Costs NeurIPS 2024 Enhancing Neural Subset Selection: Integrating Background Information into Set Representations ICLR 2024 Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling ICLR 2024 Entropy testing and its application to testing Bayesian networks NeurIPS 2024 Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data NeurIPS 2024 Estimating treatment effects from single-arm trials via latent-variable modeling AISTATS 2024 Evaluating Topic Model on Asymmetric and Multi-Domain Financial Corpus COLING 2024 Evidential Mixture Machines: Deciphering Multi-Label Correlations for Active Learning Sensitivity NeurIPS 2024 Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation NeurIPS 2024 Evidential Uncertainty Quantification: A Variance-Based Perspective WACV 2024 Explaining Mixtures of Sources in News Articles EMNLP 2024 Explaining Probabilistic Models with Distributional Values ICML 2024 Exploration of the Search Space of Gaussian Graphical Models for Paired Data JMLR 2024 Exploring Conditional Variational Mechanism to Pinyin Input Method for Addressing One-to-Many Mappings in Low-Resource Scenarios ACL 2024 Exploring Energy-Based Models for Out-of-Distribution Detection in Dialect Identification Interspeech 2024 eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling NeurIPS 2024 Fairness-Aware Estimation of Graphical Models NeurIPS 2024 FedImpro: Measuring and Improving Client Update in Federated Learning ICLR 2024 Fit Like You Sample: Sample-Efficient Generalized Score Matching from Fast Mixing Diffusions COLT 2024