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Variational Inference

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TitleStatusHype
Data Association with Gaussian Processes—0
Decoupled Variational Gaussian Inference—0
Deep Probabilistic Programming—0
Algorithms for item categorization based on ordinal ranking data—0
Branching Stein Variational Gradient Descent for sampling multimodal distributions—0
Additive Multi-Index Gaussian process modeling, with application to multi-physics surrogate modeling of the quark-gluon plasma—0
Brain in the Dark: Design Principles for Neuro-mimetic Learning and Inference—0
A Survey on Brain-Inspired Deep Learning via Predictive Coding—0
A Sparsity-promoting Dictionary Model for Variational Autoencoders—0
Building Bayesian Neural Networks with Blocks: On Structure, Interpretability and Uncertainty—0
C^2INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention—0
A Statistically Principled and Computationally Efficient Approach to Speech Enhancement using Variational Autoencoders—0
Calibration of Model Uncertainty for Dropout Variational Inference—0
Correlated Random Measures—0
Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs—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
CausalMMM: Learning Causal Structure for Marketing Mix Modeling—0
A Stochastic Decoder for Neural Machine Translation—0
Causal Semantic Communication for Digital Twins: A Generalizable Imitation Learning Approach—0
Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism—0
A Structured Variational Auto-encoder for Learning Deep Hierarchies of Sparse Features—0
Boosting Variational Inference With Locally Adaptive Step-Sizes—0
Boosting Variational Inference: an Optimization Perspective—0
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