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Variational Inference

767 directly classified papers

Papers per year

Papers

On PAC-Bayesian reconstruction guarantees for VAEs AISTATS 2022
Grassmann Stein Variational Gradient Descent AISTATS 2022
Fast Instrument Learning with Faster Rates NIPS 2022
Variational inference via Wasserstein gradient flows NIPS 2022
Learning Bayesian Sparse Networks With Full Experience Replay for Continual Learning CVPR 2022
Rethinking Variational Inference for Probabilistic Programs with Stochastic Support NIPS 2022
Improving Subgraph Recognition With Variational Graph Information Bottleneck CVPR 2022
Cross-Linked Unified Embedding for cross-modality representation learning NIPS 2022
Sparse Gaussian Process Hyperparameters: Optimize or Integrate? NIPS 2022
Variational Model Perturbation for Source-Free Domain Adaptation 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
Foundation Posteriors for Approximate Probabilistic Inference NIPS 2022
A Variational Edge Partition Model for Supervised Graph Representation Learning NIPS 2022
RL with KL penalties is better viewed as Bayesian inference EMNLP 2022
Non-Autoregressive Neural Machine Translation with Consistency Regularization Optimized Variational Framework NAACL 2022
Fairness without the Sensitive Attribute via Causal Variational Autoencoder IJCAI 2022
On the detrimental effect of invariances in the likelihood for variational inference NIPS 2022
A Personalized Dialogue Generator with Implicit User Persona Detection COLING 2022
Learning Degradation Uncertainty for Unsupervised Real-world Image Super-resolution IJCAI 2022
Local-Global MCMC kernels: the best of both worlds NIPS 2022
Amortized Inference for Causal Structure Learning NIPS 2022
Posterior Matching for Arbitrary Conditioning NIPS 2022
Variational nearest neighbor Gaussian process ICML 2022