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Variational Inference

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TitleStatusHype
A Sparsity-promoting Dictionary Model for Variational Autoencoders—0
DinTucker: Scaling up Gaussian process models on multidimensional arrays with billions of elements—0
Amortized Context Vector Inference for Sequence-to-Sequence Networks—0
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data—0
A Sparse and Adaptive Prior for Time-Dependent Model Parameters—0
A Latent Variable Model for Two-Dimensional Canonical Correlation Analysis and its Variational Inference—0
A Deterministic Global Optimization Method for Variational Inference—0
Connection Discovery using Shared Images by Gaussian Relational Topic Model—0
Boosting Variational Inference With Locally Adaptive Step-Sizes—0
Constrained Bayesian Inference for Low Rank Multitask Learning—0
Constrained Stein Variational Gradient Descent for Robot Perception, Planning, and Identification—0
Constrained Structure Learning for Scene Graph Generation—0
Constraining the Dynamics of Deep Probabilistic Models—0
Boosting Variational Inference: an Optimization Perspective—0
A Semantically Consistent and Syntactically Variational Encoder-Decoder Framework for Paraphrase Generation—0
Gaussian Variational State Estimation for Nonlinear State-Space Models—0
Directed Variational Cross-encoder Network for Few-shot Multi-image Co-segmentation—0
Distance-Preserving Spatial Representations in Genomic Data—0
Boosting Variational Inference—0
Continual Learning with Adaptive Weights (CLAW)—0
Score Operator Newton transport—0
A Knowledge Distillation Approach for Sepsis Outcome Prediction from Multivariate Clinical Time Series—0
BoA-PTA, A Bayesian Optimization Accelerated Error-Free SPICE Solver—0
Continuous Time Dynamic Topic Models—0
Blindness of score-based methods to isolated components and mixing proportions—0
A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks—0
Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels—0
Control as Hybrid Inference—0
Accelerating Stochastic Probabilistic Inference—0
Blind Image Denoising via Dependent Dirichlet Process Tree—0
Convergence of Statistical Estimators via Mutual Information Bounds—0
Convergence rate of random scan Coordinate Ascent Variational Inference under log-concavity—0
A Rule for Gradient Estimator Selection, with an Application to Variational Inference—0
Autoregressive Speech Synthesis without Vector Quantization—0
Convolutional Normalizing Flows for Deep Gaussian Processes—0
Cooperative Graphical Models—0
Blind Channel Estimation for MIMO Systems via Variational Inference—0
Copula variational inference—0
Correcting the Sub-optimal Bit Allocation—0
Correlated Equilibria for Approximate Variational Inference in MRFs—0
Correlated Mixed Membership Modeling of Somatic Mutations—0
Correlated Parameters to Accurately Measure Uncertainty in Deep Neural Networks—0
Correlated Random Measures—0
Correntropy-Based Improper Likelihood Model for Robust Electrophysiological Source Imaging—0
A Robust UCB Scheme for Active Learning in Regression from Strategic Crowds—0
Coupled Compound Poisson Factorization—0
A Variational Bayesian State-Space Approach to Online Passive-Aggressive Regression—0
ADMM-based Networked Stochastic Variational Inference—0
ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models—0
Dirichlet process mixture models for non-stationary data streams—0
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