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Bayesian Inference

4821 directly classified papers

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Papers

Conditionally Gaussian PAC-Bayes AISTATS 2022
Approximate Bayesian Computation via Classification JMLR 2022
A Dimensionality Reduction Method for Finding Least Favorable Priors with a Focus on Bregman Divergence AISTATS 2022
Deep Hierarchy in Bandits ICML 2022
On the Finite-Time Performance of the Knowledge Gradient Algorithm ICML 2022
Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors NIPS 2022
Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment NIPS 2022
Probabilistic ODE Solutions in Millions of Dimensions ICML 2022
Offline Policy Selection under Uncertainty AISTATS 2022
SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals ICML 2022
Bayesian Optimization for Distributionally Robust Chance-constrained Problem ICML 2022
Adversarial Attacks on Gaussian Process Bandits ICML 2022
Bayesian Continuous-Time Tucker Decomposition ICML 2022
Scalable Bayesian Network Structure Learning with Splines PGM 2022
Parameterized Completeness Results for Bayesian Inference PGM 2022
Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound PGM 2022
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity EMNLP 2022
Tuning-Free Generalized Hamiltonian Monte Carlo AISTATS 2022
Hierarchical Bayesian Bandits AISTATS 2022
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization AISTATS 2022
Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes AISTATS 2022
Weighted Gaussian Process Bandits for Non-stationary Environments AISTATS 2022
On the Value of Prior in Online Learning to Rank AISTATS 2022
Adaptation of the Independent Metropolis-Hastings Sampler with Normalizing Flow Proposals AISTATS 2022
Safe Active Learning for Multi-Output Gaussian Processes AISTATS 2022