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Variational Inference

802 papers

Papers per year

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33
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Papers

Streaming Bayes GFlowNets NIPS 2024
Constrained Sampling with Primal-Dual Langevin Monte Carlo NIPS 2024
Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference NIPS 2024
Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction NIPS 2024
Gated Inference Network: Inference and Learning State-Space Models NIPS 2024
Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions NIPS 2024
Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning NIPS 2024
Variational Delayed Policy Optimization NIPS 2024
Idiographic Personality Gaussian Process for Psychological Assessment NIPS 2024
Preferential Normalizing Flows NIPS 2024
A probability contrastive learning framework for 3D molecular representation learning NIPS 2024
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations NIPS 2024
Diffusion Priors for Variational Likelihood Estimation and Image Denoising NIPS 2024
Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming NIPS 2024
Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling NIPS 2024
Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation NIPS 2024
The Star Geometry of Critic-Based Regularizer Learning NIPS 2024
Risk-sensitive control as inference with Rényi divergence NIPS 2024
Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees NIPS 2024
On Divergence Measures for Training GFlowNets NIPS 2024
Improved off-policy training of diffusion samplers NIPS 2024
Provable Posterior Sampling with Denoising Oracles via Tilted Transport NIPS 2024
Leveraging an ECG Beat Diffusion Model for Morphological Reconstruction from Indirect Signals NIPS 2024
Bayesian Domain Adaptation with Gaussian Mixture Domain-Indexing NIPS 2024
Learning Diffusion Priors from Observations by Expectation Maximization NIPS 2024