conftrace_
← Keywords

variational inference

2069 papers

Explore in graph

Also known as

VI

Co-occurring keywords

bayesian inference (1907) gaussian process (1200) generative model (2892) variational autoencoder (1288) latent variable model (564) probabilistic modeling (852) representation learning (6206) uncertainty quantification (1393) latent variable (541) approximate inference (253)

Papers

Quasi-Monte Carlo Quasi-Newton in Variational Bayes JMLR 2021
Empirical Bayes Matrix Factorization JMLR 2021
Multi-view Learning as a Nonparametric Nonlinear Inter-Battery Factor Analysis JMLR 2021
Tractable Approximate Gaussian Inference for Bayesian Neural Networks JMLR 2021
IB-GAN: Disentangled Representation Learning with Information Bottleneck Generative Adversarial Networks AAAI 2021
TAN-NTM: Topic Attention Networks for Neural Topic Modeling ACL 2021
Relative Variational Intrinsic Control AAAI 2021
Probabilistic Transformer For Time Series Analysis NIPS 2021
Probabilistic Programs with Stochastic Conditioning ICML 2021
Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition ICML 2021
Active Learning of Continuous-time Bayesian Networks through Interventions ICML 2021
On the difficulty of unbiased alpha divergence minimization ICML 2021
Meta-Reinforcement Learning by Tracking Task Non-stationarity IJCAI 2021
Variational Model-based Policy Optimization IJCAI 2021
Longitudinal Deep Kernel Gaussian Process Regression AAAI 2021
Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting AAAI 2021
Deep Probabilistic Canonical Correlation Analysis AAAI 2021
Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization AAAI 2021
Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation AAAI 2021
Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging AAAI 2021
Learning Cross-Aligned Latent Embeddings for Zero-Shot Cross-Modal Retrieval AAAI 2020
Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression AAAI 2020
Graph Representation Learning via Ladder Gamma Variational Autoencoders AAAI 2020
Radial and Directional Posteriors for Bayesian Deep Learning AAAI 2020
Diversified Interactive Recommendation with Implicit Feedback AAAI 2020