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Bayesian Inference

4821 directly classified papers

Papers per year

Papers

Continuous Spatiotemporal Events Decoupling through Spike-based Bayesian Computation NIPS 2024
Energy-based Epistemic Uncertainty for Graph Neural Networks NIPS 2024
The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof NIPS 2024
Streaming Bayes GFlowNets NIPS 2024
Sample-efficient neural likelihood-free Bayesian inference of implicit HMMs AISTATS 2024
MPCC++: Model Predictive Contouring Control for Time-Optimal Flight with Safety Constraints RSS 2024
Domain Invariant Learning for Gaussian Processes and Bayesian Exploration AAAI 2024
Globally Convergent Variational Inference NIPS 2024
Physics-constrained learning of PDE systems with uncertainty quantified port-Hamiltonian models L4DC 2024
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets JMLR 2024
TreeVI: Reparameterizable Tree-structured Variational Inference for Instance-level Correlation Capturing NIPS 2024
Improving sample efficiency of high dimensional Bayesian optimization with MCMC L4DC 2024
Information-theoretic Analysis of Bayesian Test Data Sensitivity AISTATS 2024
Beyond Bayesian Model Averaging over Paths in Probabilistic Programs with Stochastic Support AISTATS 2024
Prior-itizing Privacy: A Bayesian Approach to Setting the Privacy Budget in Differential Privacy NIPS 2024
Riemannian Laplace Approximation with the Fisher Metric AISTATS 2024
Looping in the Human: Collaborative and Explainable Bayesian Optimization AISTATS 2024
Transition Constrained Bayesian Optimization via Markov Decision Processes NIPS 2024
Inferring stochastic low-rank recurrent neural networks from neural data NIPS 2024
Virtual-Event-Based Posterior Sampling and Inference for Neyman-Scott Processes JMLR 2024
Mind the GAP: Improving Robustness to Subpopulation Shifts with Group-Aware Priors AISTATS 2024
Lower Bounds on the Bayesian Risk via Information Measures JMLR 2024
Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks using the Marginal Likelihood NIPS 2024
Comparing Comparators in Generalization Bounds AISTATS 2024
Risk-sensitive control as inference with Rényi divergence NIPS 2024