← Bayesian & Probabilistic
Machine Learning › Bayesian & Probabilistic ›

Variational Inference

767 directly classified papers

Papers per year

Papers

AIN: Fast and Accurate Sequence Labeling with Approximate Inference Network EMNLP 2020
VCDM: Leveraging Variational Bi-encoding and Deep Contextualized Word Representations for Improved Definition Modeling EMNLP 2020
Stein Self-Repulsive Dynamics: Benefits From Past Samples NIPS 2020
Efficient Low Rank Gaussian Variational Inference for Neural Networks NIPS 2020
Probabilistic Circuits for Variational Inference in Discrete Graphical Models NIPS 2020
A Non-Asymptotic Analysis for Stein Variational Gradient Descent NIPS 2020
Decision-Making with Auto-Encoding Variational Bayes NIPS 2020
Learning under Model Misspecification: Applications to Variational and Ensemble methods NIPS 2020
Gaussian Process Bandit Optimization of the Thermodynamic Variational Objective NIPS 2020
Towards Interpretable Natural Language Understanding with Explanations as Latent Variables NIPS 2020
Learning identifiable and interpretable latent models of high-dimensional neural activity using pi-VAE NIPS 2020
Online Neural Connectivity Estimation with Noisy Group Testing NIPS 2020
Variational Bayesian Monte Carlo with Noisy Likelihoods NIPS 2020
Beyond the Mean-Field: Structured Deep Gaussian Processes Improve the Predictive Uncertainties NIPS 2020
Hamiltonian Monte Carlo using an adjoint-differentiated Laplace approximation: Bayesian inference for latent Gaussian models and beyond NIPS 2020
Walsh-Hadamard Variational Inference for Bayesian Deep Learning NIPS 2020
Constraining Variational Inference with Geometric Jensen-Shannon Divergence NIPS 2020
Robust, Accurate Stochastic Optimization for Variational Inference NIPS 2020
A Discrete Variational Recurrent Topic Model without the Reparametrization Trick NIPS 2020
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