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Bayesian Inference

4821 directly classified papers

Papers per year

Papers

Learning Continuous Time Bayesian Networks in Non-stationary Domains IJCAI 2018
Fast Information-theoretic Bayesian Optimisation ICML 2018
A Bayesian Approach to Generative Adversarial Imitation Learning NIPS 2018
Bayesian Tactile Exploration for Compliant Docking With Uncertain Shapes RSS 2018
Contact-Aided Invariant Extended Kalman Filtering for Legged Robot State Estimation RSS 2018
Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors RSS 2018
Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints COLT 2018
Sampling as optimization in the space of measures: The Langevin dynamics as a composite optimization problem COLT 2018
Information Directed Sampling and Bandits with Heteroscedastic Noise COLT 2018
Underdamped Langevin MCMC: A non-asymptotic analysis COLT 2018
Streamlining Variational Inference for Constraint Satisfaction Problems NIPS 2018
A Bayesian Nonparametric View on Count-Min Sketch NIPS 2018
Heterogeneous Multi-output Gaussian Process Prediction NIPS 2018
BRUNO: A Deep Recurrent Model for Exchangeable Data NIPS 2018
Simple, Distributed, and Accelerated Probabilistic Programming NIPS 2018
Importance Weighting and Variational Inference NIPS 2018
Wasserstein Variational Inference NIPS 2018
Noisy Natural Gradient as Variational Inference ICML 2018
Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-sensitive Learning ICML 2018
Deep Bayesian Nonparametric Tracking ICML 2018
Semi-Implicit Variational Inference ICML 2018
High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach ICML 2018
Iterative Amortized Inference ICML 2018
Structured Variationally Auto-encoded Optimization ICML 2018
Constraining the Dynamics of Deep Probabilistic Models ICML 2018