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Bayesian Inference

4,821 papers

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Papers

Bayesian Continuous-Time Tucker Decomposition ICML 2022
Revisiting the Effects of Stochasticity for Hamiltonian Samplers ICML 2022
Deep Reference Priors: What is the best way to pretrain a model? ICML 2022
Variational Inference with Locally Enhanced Bounds for Hierarchical Models ICML 2022
Variational Mixtures of ODEs for Inferring Cellular Gene Expression Dynamics ICML 2022
Fast-Rate PAC-Bayesian Generalization Bounds for Meta-Learning ICML 2022
Adversarial Attacks on Gaussian Process Bandits ICML 2022
NOMU: Neural Optimization-based Model Uncertainty ICML 2022
Deep Hierarchy in Bandits ICML 2022
Bayesian Optimization for Distributionally Robust Chance-constrained Problem ICML 2022
Input Dependent Sparse Gaussian Processes ICML 2022
Surrogate Likelihoods for Variational Annealed Importance Sampling ICML 2022
Efficient Approximate Inference for Stationary Kernel on Frequency Domain ICML 2022
Meta-Learning Hypothesis Spaces for Sequential Decision-making ICML 2022
SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals ICML 2022
Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems ICML 2022
Probabilistic ODE Solutions in Millions of Dimensions ICML 2022
Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation ICML 2022
Why the Rich Get Richer? On the Balancedness of Random Partition Models ICML 2022
On the Finite-Time Performance of the Knowledge Gradient Algorithm ICML 2022
Hessian-Free High-Resolution Nesterov Acceleration For Sampling ICML 2022
Bayesian Model Selection, the Marginal Likelihood, and Generalization ICML 2022
Additive Gaussian Processes Revisited ICML 2022
BAMDT: Bayesian Additive Semi-Multivariate Decision Trees for Nonparametric Regression ICML 2022
Nonparametric Involutive Markov Chain Monte Carlo ICML 2022