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

Block Sparse Bayesian Learning: A Diversified Scheme NIPS 2024
Online Posterior Sampling with a Diffusion Prior NIPS 2024
Minimizing UCB: a Better Local Search Strategy in Local Bayesian Optimization NIPS 2024
Bayesian Online Natural Gradient (BONG) NIPS 2024
EigenVI: score-based variational inference with orthogonal function expansions NIPS 2024
Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficient NIPS 2024
Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space NIPS 2024
Practical Bayesian Algorithm Execution via Posterior Sampling NIPS 2024
Unrolled denoising networks provably learn to perform optimal Bayesian inference NIPS 2024
Noether's Razor: Learning Conserved Quantities NIPS 2024
IncomeSCM: From tabular data set to time-series simulator and causal estimation benchmark NIPS 2024
Constructing Semantics-Aware Adversarial Examples with a Probabilistic Perspective NIPS 2024
Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach NIPS 2024
VISA: Variational Inference with Sequential Sample-Average Approximations NIPS 2024
A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences NIPS 2024
The Causal Impact of Credit Lines on Spending Distributions AAAI 2024
Sparse Bayesian Deep Learning for Cross Domain Medical Image Reconstruction AAAI 2024
Sampling-Resilient Multi-Object Tracking AAAI 2024
CGMGM: A Cross-Gaussian Mixture Generative Model for Few-Shot Semantic Segmentation AAAI 2024
Evidential Uncertainty-Guided Mitochondria Segmentation for 3D EM Images AAAI 2024
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression AAAI 2024
Full Bayesian Significance Testing for Neural Networks AAAI 2024
MAPTree: Beating “Optimal” Decision Trees with Bayesian Decision Trees AAAI 2024
Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization AAAI 2024
Scores for Learning Discrete Causal Graphs with Unobserved Confounders AAAI 2024