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Variational Inference

767 directly classified papers

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Papers

Personalized Public Policy Analysis in Social Sciences Using Causal-Graphical Normalizing Flows AAAI 2022
Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients NIPS 2022
Amortized Inference for Causal Structure Learning NIPS 2022
Knowledge Distillation via Constrained Variational Inference AAAI 2022
Variational inference via Wasserstein gradient flows NIPS 2022
Latent Time Neural Ordinary Differential Equations AAAI 2022
Rethinking Variational Inference for Probabilistic Programs with Stochastic Support NIPS 2022
Cross-Linked Unified Embedding for cross-modality representation learning NIPS 2022
Posterior Matching for Arbitrary Conditioning NIPS 2022
Generalization Gap in Amortized 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
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
Revisiting Active Sets for Gaussian Process Decoders NIPS 2022
Personalized Federated Learning via Variational Bayesian Inference ICML 2022
Uncertainty Modeling in Generative Compressed Sensing ICML 2022
Accurate Quantization of Measures via Interacting Particle-based Optimization ICML 2022
Input Dependent Sparse Gaussian Processes ICML 2022
Continual Learning via Sequential Function-Space Variational Inference ICML 2022
Variational nearest neighbor Gaussian process ICML 2022
A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck COLING 2022
RL with KL penalties is better viewed as Bayesian inference EMNLP 2022
A Variational Edge Partition Model for Supervised Graph Representation Learning NIPS 2022