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Probabilistic Modeling

2,599 papers

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Papers

Practical Equivariances via Relational Conditional Neural Processes NIPS 2023
Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network NIPS 2023
Unbiased constrained sampling with Self-Concordant Barrier Hamiltonian Monte Carlo NIPS 2023
Characteristic Circuits NIPS 2023
NPCL: Neural Processes for Uncertainty-Aware Continual Learning NIPS 2023
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data NIPS 2023
GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies NIPS 2023
Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent NIPS 2023
CoDrug: Conformal Drug Property Prediction with Density Estimation under Covariate Shift NIPS 2023
Probabilistic Exponential Integrators NIPS 2023
Sharp Bounds for Generalized Causal Sensitivity Analysis NIPS 2023
Generalized Belief Transport NIPS 2023
Energy Discrepancies: A Score-Independent Loss for Energy-Based Models NIPS 2023
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection NIPS 2023
Credal Marginal MAP NIPS 2023
Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning NIPS 2023
Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization NIPS 2023
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models NIPS 2023
Geometric Neural Diffusion Processes NIPS 2023
L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference NIPS 2023
Streaming Factor Trajectory Learning for Temporal Tensor Decomposition NIPS 2023
Switching Autoregressive Low-rank Tensor Models NIPS 2023
On the Properties of Kullback-Leibler Divergence Between Multivariate Gaussian Distributions NIPS 2023
Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient Descent NIPS 2023
Efficient Sampling of Stochastic Differential Equations with Positive Semi-Definite Models NIPS 2023