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Bayesian Inference

4,821 papers

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Papers

Rethinking the CSC Model for Natural Images NIPS 2019
Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation NIPS 2019
Max-value Entropy Search for Multi-Objective Bayesian Optimization NIPS 2019
Bayesian Batch Active Learning as Sparse Subset Approximation NIPS 2019
Learning Hawkes Processes from a handful of events NIPS 2019
Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with Dirichlet calibration NIPS 2019
Smoothing Structured Decomposable Circuits NIPS 2019
Bayesian Joint Estimation of Multiple Graphical Models NIPS 2019
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning NIPS 2019
Kernelized Bayesian Softmax for Text Generation NIPS 2019
Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes NIPS 2019
ODE2VAE: Deep generative second order ODEs with Bayesian neural networks NIPS 2019
A neurally plausible model for online recognition and postdiction in a dynamical environment NIPS 2019
Multi-objects Generation with Amortized Structural Regularization NIPS 2019
Multi-objective Bayesian optimisation with preferences over objectives NIPS 2019
Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs NIPS 2019
Coordinated hippocampal-entorhinal replay as structural inference NIPS 2019
Estimating Convergence of Markov chains with L-Lag Couplings NIPS 2019
Invertible Convolutional Flow NIPS 2019
Approximate Inference Turns Deep Networks into Gaussian Processes NIPS 2019
Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation NIPS 2019
Practical Deep Learning with Bayesian Principles NIPS 2019
Variational Temporal Abstraction NIPS 2019
Beyond Confidence Regions: Tight Bayesian Ambiguity Sets for Robust MDPs NIPS 2019
Provable Gradient Variance Guarantees for Black-Box Variational Inference NIPS 2019