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Bayesian Inference

4,821 papers

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Papers

Second Order PAC-Bayesian Bounds for the Weighted Majority Vote NIPS 2020
Learning under Model Misspecification: Applications to Variational and Ensemble methods NIPS 2020
Bayesian Bits: Unifying Quantization and Pruning NIPS 2020
Gaussian Process Bandit Optimization of the Thermodynamic Variational Objective NIPS 2020
Bayesian Probabilistic Numerical Integration with Tree-Based Models NIPS 2020
Stochastic Deep Gaussian Processes over Graphs NIPS 2020
Bayesian Causal Structural Learning with Zero-Inflated Poisson Bayesian Networks NIPS 2020
Stochastic Normalizing Flows NIPS 2020
Subgroup-based Rank-1 Lattice Quasi-Monte Carlo NIPS 2020
Multi-task Causal Learning with Gaussian Processes NIPS 2020
Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems NIPS 2020
Hyperparameter Ensembles for Robustness and Uncertainty Quantification NIPS 2020
Factor Graph Grammars NIPS 2020
Probabilistic Linear Solvers for Machine Learning NIPS 2020
Neuronal Gaussian Process Regression NIPS 2020
Uncertainty Quantification for Inferring Hawkes Networks NIPS 2020
Online Neural Connectivity Estimation with Noisy Group Testing NIPS 2020
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness NIPS 2020
Posterior Re-calibration for Imbalanced Datasets NIPS 2020
Variational Bayesian Monte Carlo with Noisy Likelihoods NIPS 2020
Greedy inference with structure-exploiting lazy maps NIPS 2020
General Control Functions for Causal Effect Estimation from IVs NIPS 2020
Multi-Fidelity Bayesian Optimization via Deep Neural Networks NIPS 2020
Analysis and Design of Thompson Sampling for Stochastic Partial Monitoring NIPS 2020
PEP: Parameter Ensembling by Perturbation NIPS 2020