conftrace_

stochastic variational inference

59 papers

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Also known as

SVI

Co-occurring keywords

variational inference (2069) bayesian inference (1907) gaussian process (1200) stochastic optimization (1060) latent variable model (564) topic model (290) deep gaussian process (38) neural network (6616) variance reduction (523) time series (435)

Papers

Idiographic Personality Gaussian Process for Psychological Assessment NIPS 2024
Robust and Scalable Gaussian Process Regression and Its Applications CVPR 2023
Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations AISTATS 2022
Input Dependent Sparse Gaussian Processes ICML 2022
Doubly Mixed-Effects Gaussian Process Regression AISTATS 2022
Generalised GPLVM with Stochastic Variational Inference AISTATS 2022
BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuning ACML 2022
Local Competition and Stochasticity for Adversarial Robustness in Deep Learning AISTATS 2021
A Differentiable Point Process with Its Application to Spiking Neural Networks ICML 2021
Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features NIPS 2021
Probabilistic selection of inducing points in sparse Gaussian processes UAI 2021
Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting AAAI 2021
Conditioning Sparse Variational Gaussian Processes for Online Decision-making NIPS 2021
Tracking Disease Outbreaks from Sparse Data with Bayesian Inference AAAI 2021
Automatic structured variational inference AISTATS 2021
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes AAAI 2020
Automated Augmented Conjugate Inference for Non-conjugate Gaussian Process Models AISTATS 2020
Scalable Gradients for Stochastic Differential Equations AISTATS 2020
When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes NIPS 2020
Sparse Orthogonal Variational Inference for Gaussian Processes AISTATS 2020
Improving model calibration with accuracy versus uncertainty optimization NIPS 2020
Training Variational Autoencoders with Buffered Stochastic Variational Inference AISTATS 2019
Variational Few-Shot Learning ICCV 2019
Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models NAACL 2019
Trust Region Sequential Variational Inference ACML 2019