conftrace_

Bayesian & Probabilistic

5,407 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Probabilistic Modeling (3,137) Bayesian Learning (1,734) Bayesian Inference (1,087) Variational Inference (275) Bayesian Networks (103) Gaussian Processes (88)

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Papers (including subtopics)

Measuring Uncertainty in Neural Machine Translation with Similarity-Sensitive Entropy EACL 2024 MetaCOG: A Heirarchical Probabilistic Model for Learning Meta-Cognitive Visual Representations UAI 2024 Methods for recovering conditional independence graphs (Abstract Reprint) IJCAI 2024 Mind the GAP: Improving Robustness to Subpopulation Shifts with Group-Aware Priors AISTATS 2024 Minimax optimal density estimation using a shallow generative model with a one-dimensional latent variable AISTATS 2024 Mixtures of Gaussians are Privately Learnable with a Polynomial Number of Samples ALT 2024 MMToM-QA: Multimodal Theory of Mind Question Answering ACL 2024 Model-based Policy Optimization under Approximate Bayesian Inference AISTATS 2024 Modeling Boundedly Rational Agents with Latent Inference Budgets ICLR 2024 Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems NeurIPS 2024 Modelling Shared Decision Making Interactions using Influence Diagrams PGM 2024 Modelling Variability in Human Annotator Simulation ACL 2024 Monte Carlo Tree Search based Space Transfer for Black Box Optimization NeurIPS 2024 Multi-layer random features and the approximation power of neural networks UAI 2024 Multi-modal Gaussian Process Variational Autoencoders for Neural and Behavioral Data ICLR 2024 Multivariate Probabilistic Time Series Forecasting with Correlated Errors NeurIPS 2024 Naive Bayes-based Context Extension for Large Language Models NAACL 2024 Negative-Binomial Randomized Gamma Dynamical Systems for Heterogeneous Overdispersed Count Time Sequences IJCAI 2024 Neural Bayes estimators for censored inference with peaks-over-threshold models JMLR 2024 Neural Conditional Probability for Uncertainty Quantification NeurIPS 2024 Neural Jump-Diffusion Temporal Point Processes ICML 2024 Neural McKean-Vlasov Processes: Distributional Dependence in Diffusion Processes AISTATS 2024 Neural processes with event triggers for fast adaptation to changes L4DC 2024 Neurocomputational model of speech recognition for pathological speech detection: a case study on Parkinson's disease speech detection Interspeech 2024 New Lower Bounds for Testing Monotonicity and Log Concavity of Distributions COLT 2024