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Variational Inference

767 directly classified papers

Papers per year

Papers

Learning Equivariant Energy Based Models with Equivariant Stein Variational Gradient Descent NIPS 2021
Probabilistic Transformer For Time Series Analysis NIPS 2021
Learning Deep Latent Variable Models by Short-Run MCMC Inference With Optimal Transport Correction CVPR 2021
Variational Pedestrian Detection CVPR 2021
Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification CVPR 2021
HiABP: Hierarchical Initialized ABP for Unsupervised Representation Learning AAAI 2021
A universal probabilistic spike count model reveals ongoing modulation of neural variability NIPS 2021
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty ICML 2021
VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning CVPR 2021
CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator NIPS 2021
Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features NIPS 2021
A Probabilistic End-To-End Task-Oriented Dialog Model with Latent Belief States towards Semi-Supervised Learning EMNLP 2020
CCA-Flow: Deep Multi-view Subspace Learning with Inverse Autoregressive Flow ACML 2020
Learning Agent Representations for Ice Hockey NIPS 2020
Improved Variational Bayesian Phylogenetic Inference with Normalizing Flows NIPS 2020
Scalable Uncertainty for Computer Vision With Functional Variational Inference CVPR 2020
Variance Reduction and Quasi-Newton for Particle-Based Variational Inference ICML 2020
Learning to Learn Kernels with Variational Random Features ICML 2020
Variational Bayesian Quantization ICML 2020
Variational Label Enhancement ICML 2020
Neural Decomposition: Functional ANOVA with Variational Autoencoders AISTATS 2020
Amortized Population Gibbs Samplers with Neural Sufficient Statistics ICML 2020
Thompson Sampling via Local Uncertainty ICML 2020
Sparse Orthogonal Variational Inference for Gaussian Processes AISTATS 2020
DisARM: An Antithetic Gradient Estimator for Binary Latent Variables NIPS 2020