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

CICL_DMS at SemEval-2023 Task 11: Learning With Disagreements (Le-Wi-Di) SEMEVAL 2023
Guided Deep Kernel Learning UAI 2023
Robust Gaussian process regression with the trimmed marginal likelihood UAI 2023
Bayesian inference approach for entropy regularized reinforcement learning with stochastic dynamics UAI 2023
BeliefPPG: Uncertainty-aware heart rate estimation from PPG signals via belief propagation UAI 2023
Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels UAI 2023
Scalable nonparametric Bayesian learning for dynamic velocity fields UAI 2023
Establishing Markov equivalence in cyclic directed graphs UAI 2023
Expectation consistency for calibration of neural networks UAI 2023
Deep Gaussian mixture ensembles UAI 2023
On the role of model uncertainties in Bayesian optimisation UAI 2023
Quasi-Bayesian nonparametric density estimation via autoregressive predictive updates UAI 2023
Piecewise Deterministic Markov Processes for Bayesian Neural Networks UAI 2023
Differentiable user models UAI 2023
Revisiting Bayesian network learning with small vertex cover UAI 2023
On inference and learning with probabilistic generating circuits UAI 2023
Massively parallel reweighted wake-sleep UAI 2023
Optimistic Thompson Sampling-based algorithms for episodic reinforcement learning UAI 2023
Posterior sampling-based online learning for the stochastic shortest path model UAI 2023
Investigating a Generalization of Probabilistic Material Implication and Bayesian Conditionals UAI 2023
Bayesian inference for vertex-series-parallel partial orders UAI 2023
Optimal Budget Allocation for Crowdsourcing Labels for Graphs UAI 2023
The Shrinkage-Delinkage Trade-off: an Analysis of Factorized Gaussian Approximations for Variational Inference UAI 2023
Knowledge Intensive Learning of Cutset Networks UAI 2023
An improved variational approximate posterior for the deep Wishart process UAI 2023