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Bayesian Inference

4,821 papers

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Papers

Modeling Dynamic Functional Connectivity with Latent Factor Gaussian Processes NIPS 2019
Scalable Bayesian inference of dendritic voltage via spatiotemporal recurrent state space models NIPS 2019
Fisher Efficient Inference of Intractable Models NIPS 2019
Stochastic Gradient Hamiltonian Monte Carlo Methods with Recursive Variance Reduction NIPS 2019
Learning Nonsymmetric Determinantal Point Processes NIPS 2019
Bayesian Optimization with Unknown Search Space NIPS 2019
Co-Generation with GANs using AIS based HMC NIPS 2019
Variational Bayesian Optimal Experimental Design NIPS 2019
Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data NIPS 2019
The Functional Neural Process NIPS 2019
On Exact Computation with an Infinitely Wide Neural Net NIPS 2019
Discrimination in Online Markets: Effects of Social Bias on Learning from Reviews and Policy Design NIPS 2019
Pseudo-Extended Markov chain Monte Carlo NIPS 2019
Thompson Sampling with Information Relaxation Penalties NIPS 2019
Copula-like Variational Inference NIPS 2019
Meta Architecture Search NIPS 2019
The Randomized Midpoint Method for Log-Concave Sampling NIPS 2019
Statistical Model Aggregation via Parameter Matching NIPS 2019
Projected Stein Variational Newton: A Fast and Scalable Bayesian Inference Method in High Dimensions NIPS 2019
Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference NIPS 2019
Thompson Sampling and Approximate Inference NIPS 2019
Variational Bayes under Model Misspecification NIPS 2019
Propagating Uncertainty in Reinforcement Learning via Wasserstein Barycenters NIPS 2019
Differentially Private Bayesian Linear Regression NIPS 2019
On Tractable Computation of Expected Predictions NIPS 2019