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Variational Inference

767 directly classified papers

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Papers

A Rule for Gradient Estimator Selection, with an Application to Variational Inference AISTATS 2020
Learning Robot Skills with Temporal Variational Inference ICML 2020
From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models ICML 2020
Validated Variational Inference via Practical Posterior Error Bounds AISTATS 2020
Dissecting Non-Vacuous Generalization Bounds based on the Mean-Field Approximation ICML 2020
Variational Inference for Sequential Data with Future Likelihood Estimates ICML 2020
Interpretable Deep Gaussian Processes with Moments AISTATS 2020
Generalized Zero-Shot Learning via Over-Complete Distribution CVPR 2020
Efficient Non-conjugate Gaussian Process Factor Models for Spike Count Data using Polynomial Approximations ICML 2020
Variational Autoencoders with Riemannian Brownian Motion Priors ICML 2020
Parametric Gaussian Process Regressors ICML 2020
Meta-Learning with Shared Amortized Variational Inference ICML 2020
Improved Variational Bayesian Phylogenetic Inference with Normalizing Flows NIPS 2020
Fast Convergence of Langevin Dynamics on Manifold: Geodesics meet Log-Sobolev NIPS 2020
Learning Agent Representations for Ice Hockey NIPS 2020
Residual Neural Processes AAAI 2020
Bayesian Hierarchical Words Representation Learning ACL 2020
f-Divergence Variational Inference NIPS 2020
Neural Mixed Counting Models for Dispersed Topic Discovery ACL 2020
Stochastic Stein Discrepancies NIPS 2020
On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond ACL 2020
DisARM: An Antithetic Gradient Estimator for Binary Latent Variables NIPS 2020
Markovian Score Climbing: Variational Inference with KL(p||q) NIPS 2020
An Empirical Investigation of Contextualized Number Prediction EMNLP 2020
On the Expressiveness of Approximate Inference in Bayesian Neural Networks NIPS 2020