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Variational Inference

802 papers

Papers per year

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33
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Papers

Spike and slab variational Bayes for high dimensional logistic regression NIPS 2020
Recurrent Switching Dynamical Systems Models for Multiple Interacting Neural Populations NIPS 2020
Bayesian Pseudocoresets NIPS 2020
The Autoencoding Variational Autoencoder NIPS 2020
Markovian Score Climbing: Variational Inference with KL(p||q) NIPS 2020
On the Expressiveness of Approximate Inference in Bayesian Neural Networks NIPS 2020
Variational Bayesian Unlearning NIPS 2020
Relative gradient optimization of the Jacobian term in unsupervised deep learning NIPS 2020
Optimal Variance Control of the Score-Function Gradient Estimator for Importance-Weighted Bounds NIPS 2020
Advances in Black-Box VI: Normalizing Flows, Importance Weighting, and Optimization NIPS 2020
f-Divergence Variational Inference NIPS 2020
Stochastic Stein Discrepancies NIPS 2020
DisARM: An Antithetic Gradient Estimator for Binary Latent Variables NIPS 2020
Learning Agent Representations for Ice Hockey NIPS 2020
Improved Variational Bayesian Phylogenetic Inference with Normalizing Flows NIPS 2020
Fast Convergence of Langevin Dynamics on Manifold: Geodesics meet Log-Sobolev NIPS 2020
A Variational Point Process Model for Social Event Sequences AAAI 2020
Variational Pathway Reasoning for EEG Emotion Recognition AAAI 2020
Variational Metric Scaling for Metric-Based Meta-Learning AAAI 2020
Capsule Routing via Variational Bayes AAAI 2020
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes AAAI 2020
Residual Neural Processes AAAI 2020
Diversified Interactive Recommendation with Implicit Feedback AAAI 2020
Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression AAAI 2020
Meta-Amortized Variational Inference and Learning AAAI 2020