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Bayesian Learning

1,663 papers

Papers per year

2
48
52
137
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Papers

Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework NIPS 2023
Unexpected Improvements to Expected Improvement for Bayesian Optimization NIPS 2023
Noise-Adaptive Thompson Sampling for Linear Contextual Bandits NIPS 2023
Conditional score-based diffusion models for Bayesian inference in infinite dimensions NIPS 2023
Posterior Sampling for Competitive RL: Function Approximation and Partial Observation NIPS 2023
A Finite-Particle Convergence Rate for Stein Variational Gradient Descent NIPS 2023
The Memory-Perturbation Equation: Understanding Model's Sensitivity to Data NIPS 2023
Toward Better PAC-Bayes Bounds for Uniformly Stable Algorithms NIPS 2023
Flat Seeking Bayesian Neural Networks NIPS 2023
Riemannian Laplace approximations for Bayesian neural networks NIPS 2023
Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification NIPS 2023
Expressive probabilistic sampling in recurrent neural networks NIPS 2023
On the Sublinear Regret of GP-UCB NIPS 2023
Discriminative Calibration: Check Bayesian Computation from Simulations and Flexible Classifier NIPS 2023
Batch Bayesian Optimization For Replicable Experimental Design NIPS 2023
Sharp Calibrated Gaussian Processes NIPS 2023
GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies NIPS 2023
Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization NIPS 2023
Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations NIPS 2023
Asymptotics of Bayesian Uncertainty Estimation in Random Features Regression NIPS 2023
A normative theory of social conflict NIPS 2023
Variational Gaussian Processes with Decoupled Conditionals NIPS 2023
Aligning Language Models with Human Preferences via a Bayesian Approach NIPS 2023
Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation NIPS 2023
On the Statistical Consistency of Risk-Sensitive Bayesian Decision-Making NIPS 2023