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Bayesian Inference

4,821 papers

Papers per year

Papers

Nested Variational Inference NIPS 2021
Local policy search with Bayesian optimization NIPS 2021
Precise characterization of the prior predictive distribution of deep ReLU networks NIPS 2021
Optimal Order Simple Regret for Gaussian Process Bandits NIPS 2021
A self consistent theory of Gaussian Processes captures feature learning effects in finite CNNs NIPS 2021
SNIPS: Solving Noisy Inverse Problems Stochastically NIPS 2021
Functional Variational Inference based on Stochastic Process Generators NIPS 2021
Sparse Deep Learning: A New Framework Immune to Local Traps and Miscalibration NIPS 2021
Black Box Probabilistic Numerics NIPS 2021
Slice Sampling Reparameterization Gradients NIPS 2021
Spatio-Temporal Variational Gaussian Processes NIPS 2021
Bias and variance of the Bayesian-mean decoder NIPS 2021
Learning Nonparametric Volterra Kernels with Gaussian Processes NIPS 2021
DiBS: Differentiable Bayesian Structure Learning NIPS 2021
Variational Continual Bayesian Meta-Learning NIPS 2021
Modular Gaussian Processes for Transfer Learning NIPS 2021
Asymptotics of representation learning in finite Bayesian neural networks NIPS 2021
Scallop: From Probabilistic Deductive Databases to Scalable Differentiable Reasoning NIPS 2021
Collapsed Variational Bounds for Bayesian Neural Networks NIPS 2021
Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods NIPS 2021
Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD NIPS 2021
Fast Bayesian Inference for Gaussian Cox Processes via Path Integral Formulation NIPS 2021
Identification and Estimation of Joint Probabilities of Potential Outcomes in Observational Studies with Covariate Information NIPS 2021
Joint Inference for Neural Network Depth and Dropout Regularization NIPS 2021
A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning NIPS 2021