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Bayesian Inference

4,821 papers

Papers per year

Papers

The promises and pitfalls of Stochastic Gradient Langevin Dynamics NIPS 2018
Graphical model inference: Sequential Monte Carlo meets deterministic approximations NIPS 2018
PAC-Bayes bounds for stable algorithms with instance-dependent priors NIPS 2018
Scaling the Poisson GLM to massive neural datasets through polynomial approximations NIPS 2018
Maximizing acquisition functions for Bayesian optimization NIPS 2018
Explaining Deep Learning Models -- A Bayesian Non-parametric Approach NIPS 2018
Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Influence NIPS 2018
Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features NIPS 2018
Learning Concave Conditional Likelihood Models for Improved Analysis of Tandem Mass Spectra NIPS 2018
Deep Poisson gamma dynamical systems NIPS 2018
From Stochastic Planning to Marginal MAP NIPS 2018
Posterior Concentration for Sparse Deep Learning NIPS 2018
Deep State Space Models for Time Series Forecasting NIPS 2018
Adversarially Robust Optimization with Gaussian Processes NIPS 2018
Mirrored Langevin Dynamics NIPS 2018
Improving Explorability in Variational Inference with Annealed Variational Objectives NIPS 2018
Algorithmic Linearly Constrained Gaussian Processes NIPS 2018
Coupled Variational Bayes via Optimization Embedding NIPS 2018
Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behavior NIPS 2018
Boosting Black Box Variational Inference NIPS 2018
Variational Bayesian Monte Carlo NIPS 2018
Discretely Relaxing Continuous Variables for tractable Variational Inference NIPS 2018
Bayesian Model Selection Approach to Boundary Detection with Non-Local Priors NIPS 2018
Query Complexity of Bayesian Private Learning NIPS 2018
Distributed Multitask Reinforcement Learning with Quadratic Convergence NIPS 2018