conftrace_
← Keywords

bayesian inference

1907 papers

Explore in graph

Also known as

BI

Co-occurring keywords

variational inference (2069) markov chain monte carlo (725) gaussian process (1200) probabilistic modeling (852) uncertainty quantification (1393) posterior distribution (259) bayesian learning (185) gibbs sampling (201) graphical model (864) probabilistic model (476)

Papers

SpHMC: Spectral Hamiltonian Monte Carlo AAAI 2019
Why Didn’t You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models ACL 2019
Automated Rule Base Completion as Bayesian Concept Induction AAAI 2019
Coordinated hippocampal-entorhinal replay as structural inference NIPS 2019
An Automated Framework for Fast Cognate Detection and Bayesian Phylogenetic Inference in Computational Historical Linguistics ACL 2019
A Generalization Bound for Online Variational Inference ACML 2019
Variational Inference from Ranked Samples with Features ACML 2019
Early-Stopping of Scattering Pattern Observation with Bayesian Modeling AAAI 2019
Multilingual Factor Analysis ACL 2019
Minimax Online Prediction of Varying Bernoulli Process under Variational Approximation ACML 2019
Covariances, Robustness, and Variational Bayes JMLR 2018
Semi-Implicit Variational Inference ICML 2018
Probabilistic preference learning with the Mallows rank model JMLR 2018
Posterior Concentration for Sparse Deep Learning NIPS 2018
Spatio-temporal Bayesian On-line Changepoint Detection with Model Selection ICML 2018
Minimax Optimal Bayes Mixtures for Memoryless Sources over Large Alphabets ALT 2018
Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study EMNLP 2018
Parallel and Distributed MCMC via Shepherding Distributions AISTATS 2018
Nonparametric Bayesian Lomax delegate racing for survival analysis with competing risks NIPS 2018
Scalable Gaussian Processes with Grid-Structured Eigenfunctions (GP-GRIEF) ICML 2018
Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling JMLR 2018
Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression ICML 2018
Implicit Probabilistic Integrators for ODEs NIPS 2018
Multi-value Rule Sets for Interpretable Classification with Feature-Efficient Representations NIPS 2018
The promises and pitfalls of Stochastic Gradient Langevin Dynamics NIPS 2018