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Bayesian Inference

5,566 papers

Papers per year

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Papers

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
Sequential Test for the Lowest Mean: From Thompson to Murphy Sampling NIPS 2018
Distributed Multitask Reinforcement Learning with Quadratic Convergence NIPS 2018
Beauty-in-averageness and its contextual modulations: A Bayesian statistical account NIPS 2018
Bayesian Distributed Stochastic Gradient Descent NIPS 2018
Large-Scale Stochastic Sampling from the Probability Simplex NIPS 2018
Transfer of Value Functions via Variational Methods NIPS 2018
Implicit Reparameterization Gradients NIPS 2018
A Bayesian Approach to Generative Adversarial Imitation Learning NIPS 2018
Data-dependent PAC-Bayes priors via differential privacy NIPS 2018
Information Constraints on Auto-Encoding Variational Bayes NIPS 2018
Autoconj: Recognizing and Exploiting Conjugacy Without a Domain-Specific Language NIPS 2018
Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with $\beta$-Divergences NIPS 2018
HOGWILD!-Gibbs can be PanAccurate NIPS 2018
Evidential Deep Learning to Quantify Classification Uncertainty NIPS 2018
Bayesian Nonparametric Spectral Estimation NIPS 2018
Fast Estimation of Causal Interactions using Wold Processes NIPS 2018
Reparameterization Gradient for Non-differentiable Models NIPS 2018
Statistical mechanics of low-rank tensor decomposition NIPS 2018
Mental Sampling in Multimodal Representations NIPS 2018
Nonparametric learning from Bayesian models with randomized objective functions NIPS 2018
Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification NIPS 2018