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Probabilistic Modeling

2591 directly classified papers

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Papers

Beta-LR: Interpretable Logical Reasoning based on Beta Distribution NAACL 2024
VI-OOD: A Unified Framework of Representation Learning for Textual Out-of-distribution Detection COLING 2024
Statistical and Geometrical properties of the Kernel Kullback-Leibler divergence NIPS 2024
A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models NIPS 2024
LanguageFlow: Advancing Diffusion Language Generation with Probabilistic Flows NAACL 2024
Simulation-Based Stacking AISTATS 2024
Risk-sensitive control as inference with Rényi divergence NIPS 2024
Probabilistic Modeling for Sequences of Sets in Continuous-Time AISTATS 2024
Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits NIPS 2024
On cyclical MCMC sampling AISTATS 2024
The AL$\ell_0$CORE Tensor Decomposition for Sparse Count Data AISTATS 2024
Style Adaptation and Uncertainty Estimation for Multi-Source Blended-Target Domain Adaptation NIPS 2024
Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models AISTATS 2024
LP-based Construction of DC Decompositions for Efficient Inference of Markov Random Fields AISTATS 2024
Streaming Bayes GFlowNets NIPS 2024
Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons AAAI 2024
Evaluating Topic Model on Asymmetric and Multi-Domain Financial Corpus COLING 2024
Integrating Uncertainty Awareness into Conformalized Quantile Regression AISTATS 2024
Qualitative Mechanism Independence NIPS 2024
Variational Gaussian Process Diffusion Processes AISTATS 2024
Measuring Goal-Directedness NIPS 2024
Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning AISTATS 2024
Robust Approximate Sampling via Stochastic Gradient Barker Dynamics AISTATS 2024
Colour Passing Revisited: Lifted Model Construction with Commutative Factors AAAI 2024
Structured Optimal Variational Inference for Dynamic Latent Space Models JMLR 2024