Skip to content
conftrace_

Variational Inference

898 papers

3
19
40
102
35
'5
'10
'15
'20
'25

Papers

Variational Gaussian Process Diffusion Processes AISTATS 2024 Variational Hybrid-Attention Framework for Multi-Label Few-Shot Aspect Category Detection AAAI 2024 Variational Resampling AISTATS 2024 Wasserstein Proximal Coordinate Gradient Algorithms JMLR 2024 Actually Sparse Variational Gaussian Processes AISTATS 2023 Adaptive Annealed Importance Sampling with Constant Rate Progress ICML 2023 Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification AISTATS 2023 Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models AAAI 2023 A Finite-Particle Convergence Rate for Stein Variational Gradient Descent NeurIPS 2023 Approximate Stein Classes for Truncated Density Estimation ICML 2023 A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods NeurIPS 2023 A theory of continuous generative flow networks ICML 2023 Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval ACL 2023 Bit Allocation using Optimization ICML 2023 CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design ICML 2023 Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates ICML 2023 Conditional Matrix Flows for Gaussian Graphical Models NeurIPS 2023 Conditional score-based diffusion models for Bayesian inference in infinite dimensions NeurIPS 2023 Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition AISTATS 2023 Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders ICML 2023 Diffusion Bridge Mixture Transports, Schrödinger Bridge Problems and Generative Modeling JMLR 2023 Disentangled CVAEs with Contrastive Learning for Explainable Recommendation AAAI 2023 Disentangled Representation for Causal Mediation Analysis AAAI 2023 Efficient Latent Variable Modeling for Knowledge-Grounded Dialogue Generation EMNLP 2023 Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification ICML 2023