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Probabilistic Modeling

1884 directly classified papers

Papers per year

Papers

The Lauritzen-Chen Likelihood For Graphical Models AISTATS 2023
Unsupervised representation learning with recognition-parametrised probabilistic models AISTATS 2023
Input uncertainty propagation through trained neural networks ICML 2023
Bayesian Structure Scores for Probabilistic Circuits AISTATS 2023
ScanDMM: A Deep Markov Model of Scanpath Prediction for 360deg Images CVPR 2023
Bayesian Federated Neural Matching That Completes Full Information AAAI 2023
Sparse Maximum Margin Learning from Multimodal Human Behavioral Patterns AAAI 2023
SMCP3: Sequential Monte Carlo with Probabilistic Program Proposals AISTATS 2023
Normalizing Flows for Interventional Density Estimation ICML 2023
Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti’s Theorem for Markov Chains ICML 2023
On the Calibration of Probabilistic Classifier Sets AISTATS 2023
Semiparametric Inference Using Fractional Posteriors JMLR 2023
FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels ICML 2023
An Annotated Graph Model with Differential Degree Heterogeneity for Directed Networks JMLR 2023
Consistent Model-based Clustering using the Quasi-Bernoulli Stick-breaking Process JMLR 2023
On the Identifiability and Estimation of Causal Location-Scale Noise Models ICML 2023
Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing ICML 2023
Integrating Random Effects in Deep Neural Networks JMLR 2023
Automatically marginalized MCMC in probabilistic programming ICML 2023
Interpreting Sentiment Composition with Latent Semantic Tree ACL 2023
Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series ICML 2023
Efficient preconditioned stochastic gradient descent for estimation in latent variable models ICML 2023
Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data JMLR 2023
GFlowNet Foundations JMLR 2023
Continuously Parameterized Mixture Models ICML 2023