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Bayesian Inference

4,821 papers

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Papers

Bayesian Pseudocoresets NIPS 2020
Deep Rao-Blackwellised Particle Filters for Time Series Forecasting NIPS 2020
BOSS: Bayesian Optimization over String Spaces NIPS 2020
Markovian Score Climbing: Variational Inference with KL(p||q) NIPS 2020
On the Expressiveness of Approximate Inference in Bayesian Neural Networks NIPS 2020
Decentralized Langevin Dynamics for Bayesian Learning NIPS 2020
Variational Bayesian Unlearning NIPS 2020
Certifiably Adversarially Robust Detection of Out-of-Distribution Data NIPS 2020
Bayesian Attention Modules NIPS 2020
Optimal Variance Control of the Score-Function Gradient Estimator for Importance-Weighted Bounds NIPS 2020
PAC-Bayes Analysis Beyond the Usual Bounds NIPS 2020
Hierarchical Gaussian Process Priors for Bayesian Neural Network Weights NIPS 2020
Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning NIPS 2020
Advances in Black-Box VI: Normalizing Flows, Importance Weighting, and Optimization NIPS 2020
f-Divergence Variational Inference NIPS 2020
Continuous Meta-Learning without Tasks NIPS 2020
Diversity-Guided Multi-Objective Bayesian Optimization With Batch Evaluations NIPS 2020
PAC-Bayesian Bound for the Conditional Value at Risk NIPS 2020
Stochastic Stein Discrepancies NIPS 2020
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees NIPS 2020
Bayesian filtering unifies adaptive and non-adaptive neural network optimization methods NIPS 2020
All your loss are belong to Bayes NIPS 2020
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference NIPS 2020
Improved Variational Bayesian Phylogenetic Inference with Normalizing Flows NIPS 2020
Fast Convergence of Langevin Dynamics on Manifold: Geodesics meet Log-Sobolev NIPS 2020