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Bayesian Inference

4,821 papers

Papers per year

Papers

Hamiltonian Monte Carlo using an adjoint-differentiated Laplace approximation: Bayesian inference for latent Gaussian models and beyond NIPS 2020
Bayesian Optimization for Iterative Learning NIPS 2020
Walsh-Hadamard Variational Inference for Bayesian Deep Learning NIPS 2020
Federated Bayesian Optimization via Thompson Sampling NIPS 2020
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization NIPS 2020
AutoBSS: An Efficient Algorithm for Block Stacking Style Search NIPS 2020
A Bayesian Perspective on Training Speed and Model Selection NIPS 2020
Depth Uncertainty in Neural Networks NIPS 2020
Understanding Approximate Fisher Information for Fast Convergence of Natural Gradient Descent in Wide Neural Networks NIPS 2020
Robust, Accurate Stochastic Optimization for Variational Inference NIPS 2020
Probabilistic Inference with Algebraic Constraints: Theoretical Limits and Practical Approximations NIPS 2020
Your GAN is Secretly an Energy-based Model and You Should Use Discriminator Driven Latent Sampling NIPS 2020
Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes NIPS 2020
Incorporating Interpretable Output Constraints in Bayesian Neural Networks NIPS 2020
ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA NIPS 2020
Uncertainty Aware Semi-Supervised Learning on Graph Data NIPS 2020
VarGrad: A Low-Variance Gradient Estimator for Variational Inference NIPS 2020
Knowledge Augmented Deep Neural Networks for Joint Facial Expression and Action Unit Recognition NIPS 2020
Point process models for sequence detection in high-dimensional neural spike trains NIPS 2020
Meta-Consolidation for Continual Learning NIPS 2020
Spike and slab variational Bayes for high dimensional logistic regression NIPS 2020
A Variational Approach for Learning from Positive and Unlabeled Data NIPS 2020
Recurrent Switching Dynamical Systems Models for Multiple Interacting Neural Populations NIPS 2020
Deep Evidential Regression NIPS 2020
Analytical Probability Distributions and Exact Expectation-Maximization for Deep Generative Networks NIPS 2020