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Variational Inference

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TitleStatusHype
CRVI: Convex Relaxation for Variational Inference—0
Amplify Graph Learning for Recommendation via Sparsity Completion—0
CWAE-IRL: Formulating a supervised approach to Inverse Reinforcement Learning problem—0
Cyberattack Detection using Deep Generative Models with Variational Inference—0
Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference—0
Cyclical Variational Bayes Monte Carlo for Efficient Multi-Modal Posterior Distributions Evaluation—0
Adversarial Purification with the Manifold Hypothesis—0
A Variational Perspective on Generative Flow Networks—0
Analog Bayesian neural networks are insensitive to the shape of the weight distribution—0
Data Association with Gaussian Processes—0
Distributed Bayesian Estimation in Sensor Networks: Consensus on Marginal Densities—0
A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods—0
Black-Box Variational Inference as a Parametric Approximation to Langevin Dynamics—0
Disentangling impact of capacity, objective, batchsize, estimators, and step-size on flow VI—0
Distributed Bayesian Learning with Stochastic Natural-gradient Expectation Propagation and the Posterior Server—0
AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms—0
A recursive Bayesian neural network for constitutive modeling of sands under monotonic loading—0
Disentangled Skill Embeddings for Reinforcement Learning—0
Black-Box Autoregressive Density Estimation for State-Space Models—0
A Probabilistic Generative Model of Free Categories—0
Disentangling by Partitioning: A Representation Learning Framework for Multimodal Sensory Data—0
Distributed Multitask Reinforcement Learning with Quadratic Convergence—0
Discrete-Valued Neural Networks Using Variational Inference—0
Accelerating Particle-based Energetic Variational Inference—0
Disease Trajectory Maps—0
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