conftrace_

probabilistic modeling

896 papers

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PM

Co-occurring keywords · papers mentioning both

bayesian inference (152) variational inference (105) probabilistic model (96) graphical model (61) uncertainty quantification (58) generative model (55) bayesian network (35) probabilistic inference (32) latent variable model (31) causal inference (29)

Papers

Identifying and Addressing Disparities in Public Libraries with Bayesian Latent Variable Modeling AAAI 2024 Image Inpainting via Iteratively Decoupled Probabilistic Modeling ICLR 2024 Interpretability Guarantees with Merlin-Arthur Classifiers AISTATS 2024 Interpreting Predictive Probabilities: Model Confidence or Human Label Variation? EACL 2024 Interventionally Consistent Surrogates for Complex Simulation Models NeurIPS 2024 Intervention and Conditioning in Causal Bayesian Networks NeurIPS 2024 Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning NeurIPS 2024 LanguageFlow: Advancing Diffusion Language Generation with Probabilistic Flows NAACL 2024 LINGO-Space: Language-Conditioned Incremental Grounding for Space AAAI 2024 LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language NeurIPS 2024 Mapping ‘when’-clauses in Latin American and Caribbean languages: an experiment in subtoken-based typology NAACL 2024 Modelling Variability in Human Annotator Simulation ACL 2024 Multivariate Probabilistic Time Series Forecasting with Correlated Errors NeurIPS 2024 Mutual Information Estimation via Normalizing Flows NeurIPS 2024 Negative-Binomial Randomized Gamma Dynamical Systems for Heterogeneous Overdispersed Count Time Sequences IJCAI 2024 Neural Conditional Probability for Uncertainty Quantification NeurIPS 2024 Neural McKean-Vlasov Processes: Distributional Dependence in Diffusion Processes AISTATS 2024 Normalizing Flows on the Product Space of SO(3) Manifolds for Probabilistic Human Pose Modeling CVPR 2024 Parameter Estimation in DAGs from Incomplete Data via Optimal Transport ICML 2024 Peer Neighborhood Mechanisms: A Framework for Mechanism Generalization AAAI 2024 Perceptual Scales Predicted by Fisher Information Metrics ICLR 2024 Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning NeurIPS 2024 Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI ICML 2024 Probabilistic Decomposed Linear Dynamical Systems for Robust Discovery of Latent Neural Dynamics NeurIPS 2024 Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data NeurIPS 2024