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Variational Inference

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TitleStatusHype
Streaming Bayes GFlowNets—0
Variational Inference on the Boolean Hypercube with the Quantum EntropyCode0
Recursive Learning of Asymptotic Variational Objectives—0
Risk-sensitive control as inference with Rényi divergenceCode0
EigenVI: score-based variational inference with orthogonal function expansions—0
Functional Gradient Flows for Constrained SamplingCode0
Hierarchical mixtures of Unigram models for short text clustering: The role of Beta-Liouville priors—0
SimSiam Naming Game: A Unified Approach for Representation Learning and Emergent Communication—0
Variational inference for pile-up removal at hadron colliders with diffusion models—0
Batch, match, and patch: low-rank approximations for score-based variational inference—0
Likelihood approximations via Gaussian approximate inference—0
Noise-Aware Differentially Private Variational Inference—0
Brain-like variational inference—0
Evolving Voices Based on Temporal Poisson Factorisation—0
Semi-Implicit Functional Gradient Flow for Efficient Sampling—0
A Trust-Region Method for Graphical Stein Variational Inference—0
Incorporating Group Prior into Variational Inference for Tail-User Behavior Modeling in CTR Prediction—0
Predictive variational inference: Learn the predictively optimal posterior distribution—0
A theoretical perspective on mode collapse in variational inference—0
Annealed Stein Variational Gradient Descent for Improved Uncertainty Estimation in Full-Waveform InversionCode0
Learning with Importance Weighted Variational Inference: Asymptotics for Gradient Estimators of the VR-IWAE Bound—0
Optimal lower bounds for logistic log-likelihoods—0
Stein Variational Evolution Strategies—0
Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation MatrixCode0
On Divergence Measures for Training GFlowNets—0
Deterministic Fokker-Planck Transport -- With Applications to Sampling, Variational Inference, Kernel Mean Embeddings & Sequential Monte Carlo—0
Protect Before Generate: Error Correcting Codes within Discrete Deep Generative Models—0
Efficient Reinforcement Learning with Large Language Model Priors—0
Pathwise Gradient Variance Reduction with Control Variates in Variational Inference—0
Score-Based Variational Inference for Inverse Problems—0
Bayesian Estimation and Tuning-Free Rank Detection for Probability Mass Function Tensors—0
Neuro-Symbolic Entity Alignment via Variational Inference—0
Optimization Proxies using Limited Labeled Data and Training Time -- A Semi-Supervised Bayesian Neural Network ApproachCode0
Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold—0
Deep Generative Modeling for Identification of Noisy, Non-Stationary Dynamical SystemsCode0
Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputationCode0
Variational Source-Channel Coding for Semantic Communication—0
Functional Stochastic Gradient MCMC for Bayesian Neural Networks—0
VARADE: a Variational-based AutoRegressive model for Anomaly Detection on the EdgeCode0
Amortized Variational Inference for Deep Gaussian Processes—0
Latent mixed-effect models for high-dimensional longitudinal data—0
Portfolio Stress Testing and Value at Risk (VaR) Incorporating Current Market Conditions—0
Variational Search DistributionsCode0
A Primer on Variational Inference for Physics-Informed Deep Generative Modelling—0
Half-VAE: An Encoder-Free VAE to Bypass Explicit Inverse Mapping—0
Sample what you cant compress—0
Correntropy-Based Improper Likelihood Model for Robust Electrophysiological Source Imaging—0
A Joint Learning Model with Variational Interaction for Multilingual Program TranslationCode0
Decentralised Variational Inference Frameworks for Multi-object Tracking on Sensor Networks: Additional Notes—0
Attention Is Not What You Need: Revisiting Multi-Instance Learning for Whole Slide Image Classification—0
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