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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
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
Hierarchical mixtures of Unigram models for short text clustering: The role of Beta-Liouville priors—0
Batch, match, and patch: low-rank approximations for score-based variational inference—0
Likelihood approximations via Gaussian approximate inference—0
Brain-like variational inference—0
Noise-Aware Differentially Private 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
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