conftrace_
← Optimization & Theory
Machine Learning › Optimization & Theory ›

Bayesian Inference

5,566 papers

Papers per year

11
100
176
522
279
'05
'10
'15
'20
'25

Papers

Annular Augmentation Sampling AISTATS 2017
Near-optimal Bayesian Active Learning with Correlated and Noisy Tests AISTATS 2017
Removing Phase Transitions from Gibbs Measures AISTATS 2017
Performance Bounds for Graphical Record Linkage AISTATS 2017
Regret Bounds for Transfer Learning in Bayesian Optimisation AISTATS 2017
Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms AISTATS 2017
Asymptotically exact inference in differentiable generative models AISTATS 2017
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets AISTATS 2017
Bayesian Hybrid Matrix Factorisation for Data Integration AISTATS 2017
Detecting Dependencies in Sparse, Multivariate Databases Using Probabilistic Programming and Non-parametric Bayes AISTATS 2017
Minimax Approach to Variable Fidelity Data Interpolation AISTATS 2017
Dynamic Collaborative Filtering With Compound Poisson Factorization AISTATS 2017
Information-theoretic limits of Bayesian network structure learning AISTATS 2017
Hierarchically-partitioned Gaussian Process Approximation AISTATS 2017
Conjugate-Computation Variational Inference : Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models AISTATS 2017
DP-EM: Differentially Private Expectation Maximization AISTATS 2017
On the Hyperprior Choice for the Global Shrinkage Parameter in the Horseshoe Prior AISTATS 2017
Bayesian Learning and Inference in Recurrent Switching Linear Dynamical Systems AISTATS 2017
Black-box Importance Sampling AISTATS 2017
Learning Optimal Interventions AISTATS 2017
Belief Propagation in Conditional RBMs for Structured Prediction AISTATS 2017
Relativistic Monte Carlo AISTATS 2017
Signal-based Bayesian Seismic Monitoring AISTATS 2017
Learning the Network Structure of Heterogeneous Data via Pairwise Exponential Markov Random Fields AISTATS 2017
Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness AISTATS 2017