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Variational Inference

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TitleStatusHype
Central Limit Theorem for Bayesian Neural Network trained with Variational Inference—0
CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection—0
Challenges and Opportunities in High-dimensional Variational Inference—0
Challenges and Opportunities in High Dimensional Variational Inference—0
Challenges and Pitfalls of Bayesian Unlearning—0
Challenges for BBVI with Normalizing Flows—0
Deep Exponential Families—0
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data—0
Channel Estimation in RIS-Enabled mmWave Wireless Systems: A Variational Inference Approach—0
Channel Fingerprint Construction for Massive MIMO: A Deep Conditional Generative Approach—0
A Sparse and Adaptive Prior for Time-Dependent Model Parameters—0
A theoretical perspective on mode collapse in variational inference—0
A Latent Variable Model for Two-Dimensional Canonical Correlation Analysis and its Variational Inference—0
Boosting Variational Inference With Locally Adaptive Step-Sizes—0
Boosting Variational Inference: an Optimization Perspective—0
Closed-form Inference and Prediction in Gaussian Process State-Space Models—0
Clustered factor analysis of multineuronal spike data—0
Co-clustering through Optimal Transport—0
CoCo Games: Graphical Game-Theoretic Swarm Control for Communication-Aware Coverage—0
A Trust-Region Method for Graphical Stein Variational Inference—0
A trust-region method for stochastic variational inference with applications to streaming data—0
Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin Betting—0
Attention Is Not What You Need: Revisiting Multi-Instance Learning for Whole Slide Image Classification—0
A Semantically Consistent and Syntactically Variational Encoder-Decoder Framework for Paraphrase Generation—0
Cold Posteriors through PAC-Bayes—0
Stochastic Collapsed Variational Inference for Structured Gaussian Process Regression Network—0
Deep Ensemble as a Gaussian Process Posterior—0
Collapsed variational Bayes for Markov jump processes—0
Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems—0
A deep generative model for single-cell RNA sequencing with application to detecting differentially expressed genes—0
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review—0
A Tutorial on the Mathematical Model of Single Cell Variational Inference—0
Combining Random Walks and Nonparametric Bayesian Topic Model for Community Detection—0
A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis—0
Boosting Variational Inference—0
Score Operator Newton transport—0
A Knowledge Distillation Approach for Sepsis Outcome Prediction from Multivariate Clinical Time Series—0
A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization—0
BoA-PTA, A Bayesian Optimization Accelerated Error-Free SPICE Solver—0
Blindness of score-based methods to isolated components and mixing proportions—0
A universal probabilistic spike count model reveals ongoing modulation of neural variability—0
A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks—0
Compositional Scene Modeling with Global Object-Centric Representations—0
AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing Flows—0
Accelerating Stochastic Probabilistic Inference—0
Computing with Categories in Machine Learning—0
Blind Image Denoising via Dependent Dirichlet Process Tree—0
Amortized Bayesian Meta-Learning—0
A Rule for Gradient Estimator Selection, with an Application to Variational Inference—0
Blind Channel Estimation for MIMO Systems via Variational Inference—0
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