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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
Score Operator Newton transport—0
Challenges and Opportunities in High Dimensional Variational Inference—0
Challenges and Pitfalls of Bayesian Unlearning—0
Challenges for BBVI with Normalizing Flows—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
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
Classification and Uncertainty Quantification of Corrupted Data using Semi-Supervised Autoencoders—0
A theoretical perspective on mode collapse in variational inference—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
Accelerating Stochastic Probabilistic Inference—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
Blind Image Denoising via Dependent Dirichlet Process Tree—0
A Rule for Gradient Estimator Selection, with an Application to Variational Inference—0
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