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Probabilistic Modeling

1884 directly classified papers

Papers per year

Papers

Building Expressive and Tractable Probabilistic Generative Models: A Review IJCAI 2024
Sparse Variational Student-t Processes AAAI 2024
GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework AAAI 2024
eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling NIPS 2024
Efficient Nonparametric Tensor Decomposition for Binary and Count Data AAAI 2024
Robustly Train Normalizing Flows via KL Divergence Regularization AAAI 2024
Linear Uncertainty Quantification of Graphical Model Inference NIPS 2024
Probabilistic Modeling for Sequences of Sets in Continuous-Time AISTATS 2024
Methods for recovering conditional independence graphs (Abstract Reprint) IJCAI 2024
Secure Distributed Sparse Gaussian Process Models Using Multi-Key Homomorphic Encryption AAAI 2024
CausalCite: A Causal Formulation of Paper Citations ACL 2024
Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing AAAI 2024
Learning multivariate temporal point processes via the time-change theorem AISTATS 2024
Don’t Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations EACL 2024
On the connection between Noise-Contrastive Estimation and Contrastive Divergence AISTATS 2024
Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches AAAI 2024
Inducing Clusters Deep Kernel Gaussian Process for Longitudinal Data AAAI 2024
One Sample Fits All: Approximating All Probabilistic Values Simultaneously and Efficiently NIPS 2024
Identifiability of Product of Experts Models AISTATS 2024
Expected Probabilistic Hierarchies NIPS 2024
Virtual-Event-Based Posterior Sampling and Inference for Neyman-Scott Processes JMLR 2024
Approximating Intersections and Differences Between Linear Statistical Shape Models Using Markov Chain Monte Carlo WACV 2024
Parallel-in-Time Probabilistic Numerical ODE Solvers JMLR 2024
Bayesian Adaptive Calibration and Optimal Design NIPS 2024
Nonparametric Copula Models for Multivariate, Mixed, and Missing Data JMLR 2024