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)

Non-Exchangeable Conformal Language Generation with Nearest Neighbors EACL 2024 Nonparametric Copula Models for Multivariate, Mixed, and Missing Data JMLR 2024 Nonstationary Sparse Spectral Permanental Process NeurIPS 2024 No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity Constraints AISTATS 2024 No-Regret Learning of Nash Equilibrium for Black-Box Games via Gaussian Processes UAI 2024 Normalizing Flows for Conformal Regression UAI 2024 Normalizing Flows on the Product Space of SO(3) Manifolds for Probabilistic Human Pose Modeling CVPR 2024 Normative Testimony and Belief Functions: A Formal Theory of Norm Learning IJCAI 2024 Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees JMLR 2024 Offline Transition Modeling via Contrastive Energy Learning ICML 2024 On cyclical MCMC sampling AISTATS 2024 One Step Closer to Unbiased Aleatoric Uncertainty Estimation AAAI 2024 On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design AAAI 2024 On Feynman-Kac training of partial Bayesian neural networks AISTATS 2024 On Hardware-efficient Inference in Probabilistic Circuits UAI 2024 Online Bayesian Persuasion Without a Clue NeurIPS 2024 Only Pay for What Is Uncertain: Variance-Adaptive Thompson Sampling ICLR 2024 On the Computational Complexity of Metropolis-Adjusted Langevin Algorithms for Bayesian Posterior Sampling JMLR 2024 On the Expressive Power of Tree-Structured Probabilistic Circuits NeurIPS 2024 On the Hardness of Probabilistic Neurosymbolic Learning ICML 2024 On the Identifiability of Poisson Branching Structural Causal Model Using Probability Generating Function NeurIPS 2024 On the Independence Assumption in Neurosymbolic Learning ICML 2024 On the Quantification of Image Reconstruction Uncertainty Without Training Data WACV 2024 On the True Distribution Approximation of Minimum Bayes-Risk Decoding NAACL 2024 OntoFact: Unveiling Fantastic Fact-Skeleton of LLMs via Ontology-Driven Reinforcement Learning AAAI 2024