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Variational Inference

802 papers

Papers per year

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14
33
100
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Papers

MixFlows: principled variational inference via mixed flows ICML 2023
Bit Allocation using Optimization ICML 2023
Revisiting Structured Variational Autoencoders ICML 2023
Multi-Stream Extension of Variational Bayesian HMM Clustering (MS-VBx) for Combined End-to-End and Vector Clustering-based Diarization INTERSPEECH 2023
On the geometry of Stein variational gradient descent JMLR 2023
The Bayesian Learning Rule JMLR 2023
Diffusion Bridge Mixture Transports, Schrödinger Bridge Problems and Generative Modeling JMLR 2023
Riemannian Diffusion Models NIPS 2022
On the detrimental effect of invariances in the likelihood for variational inference NIPS 2022
Local-Global MCMC kernels: the best of both worlds NIPS 2022
Foundation Posteriors for Approximate Probabilistic Inference NIPS 2022
Asymptotic Properties for Bayesian Neural Network in Besov Space NIPS 2022
Natural image synthesis for the retina with variational information bottleneck representation NIPS 2022
Revisiting Active Sets for Gaussian Process Decoders NIPS 2022
A Variational Edge Partition Model for Supervised Graph Representation Learning NIPS 2022
Amortized Inference for Causal Structure Learning NIPS 2022
Variational inference via Wasserstein gradient flows NIPS 2022
Rethinking Variational Inference for Probabilistic Programs with Stochastic Support NIPS 2022
Cross-Linked Unified Embedding for cross-modality representation learning NIPS 2022
Fast Instrument Learning with Faster Rates NIPS 2022
Sparse Gaussian Process Hyperparameters: Optimize or Integrate? NIPS 2022
Variational Model Perturbation for Source-Free Domain Adaptation NIPS 2022
Posterior Matching for Arbitrary Conditioning NIPS 2022
Information-Theoretic GAN Compression with Variational Energy-based Model NIPS 2022
Improved Convergence Rate of Stochastic Gradient Langevin Dynamics with Variance Reduction and its Application to Optimization NIPS 2022