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bayesian inference

1904 papers

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Also known as

MCMC MBR BI BVMM MAP

Co-occurring keywords

variational inference (2069) markov chain monte carlo (724) gaussian process (1198) probabilistic modeling (851) uncertainty quantification (1365) posterior distribution (259) bayesian learning (185) gibbs sampling (201) graphical model (863) probabilistic model (476)

Papers

Amortized Bayesian Prototype Meta-learning: A New Probabilistic Meta-learning Approach to Few-shot Image Classification AISTATS 2021
Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes AISTATS 2021
Differentiable Annealed Importance Sampling and the Perils of Gradient Noise NIPS 2021
A Bayesian Approach for Subset Selection in Contextual Bandits AAAI 2021
A Variational Inference Approach to Learning Multivariate Wold Processes AISTATS 2021
Active Bayesian Assessment of Black-Box Classifiers AAAI 2021
Statistical Guarantees for Transformation Based Models with applications to Implicit Variational Inference AISTATS 2021
Couplings for Multinomial Hamiltonian Monte Carlo AISTATS 2021
Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine Translation ACL 2021
Variational inference for nonlinear ordinary differential equations AISTATS 2021
Amortized Conditional Normalized Maximum Likelihood: Reliable Out of Distribution Uncertainty Estimation ICML 2021
A Language for Counterfactual Generative Models ICML 2021
Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling ICML 2021
Bayesian Structural Adaptation for Continual Learning ICML 2021
Black Box Probabilistic Numerics NIPS 2021
Deconditional Downscaling with Gaussian Processes NIPS 2021
Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards? IJCNLP 2021
A Hybrid Approximation to the Marginal Likelihood AISTATS 2021
Improving Dialog Systems for Negotiation with Personality Modeling IJCNLP 2021
Dynamic Cutset Networks AISTATS 2021
Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning ICML 2021
Misspecified Gaussian Process Bandit Optimization NIPS 2021
Modeling Sense Structure in Word Usage Graphs with the Weighted Stochastic Block Model IJCNLP 2021
SGLB: Stochastic Gradient Langevin Boosting ICML 2021
Bayesian Distributional Policy Gradients AAAI 2021