variational inference

Approximated Variational Bayesian Inverse Reinforcement Learning for Large Language Model Alignment AAAI 2025 Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation AAAI 2025 Asset Pricing with Contrastive Adversarial Variational Bayes IJCAI 2025 A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization ICML 2025 Autoregressive Speech Synthesis without Vector Quantization ACL 2025 A Variational Approach for Mitigating Entity Bias in Relation Extraction ACL 2025 A Variational Perspective on Generative Protein Fitness Optimization ICML 2025 Bayesian Gaussian Process ODEs via Double Normalizing Flows AISTATS 2025 Bayesian Image Regression with Soft-thresholded Conditional Autoregressive Prior ICLR 2025 Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing Interspeech 2025 Bayesian Optimization via Continual Variational Last Layer Training ICLR 2025 Bayesian Regularization of Latent Representation ICLR 2025 Bayesian Sparse Gaussian Mixture Model for Clustering in High Dimensions JMLR 2025 Bounds on L_p Errors in Density Ratio Estimation via f-Divergence Loss Functions ICLR 2025 Bridging the Gap between Variational Inference and Stochastic Gradient MCMC in Function Space ICLR 2025 Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism IJCAI 2025 Comprehensive Information Bottleneck for Unveiling Universal Attribution to Interpret Vision Transformers CVPR 2025 Continual Generalized Category Discovery: Learning and Forgetting from a Bayesian Perspective ICML 2025 Cradle-VAE: Enhancing Single-Cell Gene Perturbation Modeling with Counterfactual Reasoning-based Artifact Disentanglement AAAI 2025 Debiased Active Learning with Variational Gradient Rectifier AAAI 2025 Deep Kernel Posterior Learning under Infinite Variance Prior Weights ICLR 2025 Deep Variational Multivariate Information Bottleneck - A Framework for Variational Losses JMLR 2025 Diffusion Bridge AutoEncoders for Unsupervised Representation Learning ICLR 2025 Diffusion Model is Effectively Its Own Teacher CVPR 2025 Discovering Latent Causal Graphs from Spatiotemporal Data ICML 2025