Variational Inference

Enhance Vision-Language Alignment with Noise AAAI 2025 Enhancing NER by Harnessing Multiple Datasets with Conditional Variational Autoencoders ACL 2025 Entire-Space Variational Information Exploitation for Post-Click Conversion Rate Prediction AAAI 2025 Entropic Matching for Expectation Propagation of Markov Jump Processes AISTATS 2025 HDP-Flow: Generalizable Bayesian Nonparametric Model for Time Series State Discovery UAI 2025 Hyperboloid GPLVM for Discovering Continuous Hierarchies via Nonparametric Estimation AISTATS 2025 Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent ICLR 2025 KernelMatmul: Scaling Gaussian Processes to Large Time Series AAAI 2025 Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes AISTATS 2025 Mitigating Hallucinations in LM-Based TTS Models via Distribution Alignment Using GFlowNets EMNLP 2025 Noise-Aware Differentially Private Variational Inference AISTATS 2025 Nonparametric Bayesian Multi-Facet Clustering for Longitudinal Data UAI 2025 On the Trainability and Classical Simulability of Learning Matrix Product States Variationally AAAI 2025 Resource-Rational Noisy-Channel Language Processing: Testing the Effect of Algorithmic Constraints on Inferences EMNLP 2025 Risk-Sensitive Variational Actor-Critic: A Model-Based Approach ICLR 2025 RPMIL: Rethinking Uncertainty-Aware Probabilistic Multiple Instance Learning for Whole Slide Pathology Diagnosis IJCAI 2025 Scalable and Adaptive Variational Bayes Methods for Hawkes Processes JMLR 2025 Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues AAAI 2025 Stein Boltzmann Sampling: A Variational Approach for Global Optimization AISTATS 2025 Stochasticity-aware No-Reference Point Cloud Quality Assessment IJCAI 2025 The VampPrior Mixture Model AISTATS 2025 Variational Combinatorial Sequential Monte Carlo for Bayesian Phylogenetics in Hyperbolic Space AISTATS 2025 Variational Schrödinger Momentum Diffusion AISTATS 2025 Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference AISTATS 2025 Well-Defined Function-Space Variational Inference in Bayesian Neural Networks via Regularized KL-Divergence UAI 2025