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Variational Inference

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TitleStatusHype
Variational Causal Dynamics: Discovering Modular World Models from Interventions—0
Doubly Reparameterized Importance Weighted Structure Learning for Scene Graph Generation—0
PAC: Assisted Value Factorisation with Counterfactual Predictions in Multi-Agent Reinforcement LearningCode0
Beyond Rewards: a Hierarchical Perspective on Offline Multiagent Behavioral Analysis—0
Scaling multi-species occupancy models to large citizen science datasets—0
Fast and Accurate Variational Inference for Large Bayesian VARs with Stochastic Volatility—0
Deep Variational Implicit ProcessesCode0
Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian GradientsCode0
Variational Bayes Deep Operator Network: A data-driven Bayesian solver for parametric differential equations—0
Reconfigurable Intelligent Surface-Aided 6G Massive Access: Coupled Tensor Modeling and Sparse Bayesian Learning—0
PAVI: Plate-Amortized Variational Inference—0
Decoupled Self-supervised Learning for Non-Homophilous Graphs—0
AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing Flows—0
Towards Improving the Generation Quality of Autoregressive Slot VAEsCode0
Excess risk analysis for epistemic uncertainty with application to variational inference—0
BayesFormer: Transformer with Uncertainty Estimation—0
Amortized backward variational inference in nonlinear state-space models—0
Easy Variational Inference for Categorical Models via an Independent Binary ApproximationCode0
Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification—0
Radial Spike and Slab Bayesian Neural Networks for Sparse Data in Ransomware Attacks—0
Rethinking Bayesian Learning for Data Analysis: The Art of Prior and Inference in Sparsity-Aware Modeling—0
Quasi Black-Box Variational Inference with Natural Gradients for Bayesian Learning—0
Single-cell gene regulatory network analysis for mixed cell populations with applications to COVID-19 single cell dataCode0
Flow-based Recurrent Belief State Learning for POMDPs—0
RL with KL penalties is better viewed as Bayesian inference—0
Foundation Posteriors for Approximate Probabilistic Inference—0
Variational Inference for Bayesian Bridge Regression—0
Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems—0
Taming Continuous Posteriors for Latent Variational Dialogue Policies—0
Fat-Tailed Variational Inference with Anisotropic Tail Adaptive Flows—0
MixFlows: principled variational inference via mixed flowsCode0
Importance Weighted Structure Learning for Scene Graph Generation—0
Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation—0
Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep LearningCode0
Scalable Stochastic Parametric Verification with Stochastic Variational Smoothed Model Checking—0
Variational Inference MPC using Normalizing Flows and Out-of-Distribution Projection—0
Robust Learning of Parsimonious Deep Neural Networks—0
Reducing Catastrophic Forgetting in Neural Networks via Gaussian Mixture Approximation—0
ReCAB-VAE: Gumbel-Softmax Variational Inference Based on Analytic Divergence—0
A Probabilistic Generative Model of Free Categories—0
Optimal Lighting Control in Greenhouses Using Bayesian Neural Networks for Sunlight Prediction—0
Probabilistic Control and Majorization of Optimal Control—0
A Bayesian Detect to Track System for Robust Visual Object Tracking and Semi-Supervised Model Learning—0
Cluster-based Regression using Variational Inference and Applications in Financial Forecasting—0
Streaming Inference for Infinite Non-Stationary Clustering—0
Variational Kalman Filtering with Hinf-Based Correction for Robust Bayesian Learning in High Dimensions—0
A Variational Approach to Bayesian Phylogenetic InferenceCode0
A Personalized Dialogue Generator with Implicit User Persona Detection—0
Conditional Injective Flows for Bayesian ImagingCode0
Discretely Indexed FlowsCode0
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