Bayesian Inference
6,267 papers
Papers per year
2
2
6
4
11
53
56
63
64
104
109
129
201
218
177
229
285
325
512
544
613
573
658
647
558
124
'5
'10
'15
'20
'25
Papers
Variational Phylogenetic Inference with Products over Bipartitions
ICML 2025
Weight-Aware Activation Sparsity with Constrained Bayesian Optimization Scheduling for Large Language Models
EMNLP 2025
Weighted Euclidean Distance Matrices over Mixed Continuous and Categorical Inputs for Gaussian Process Models
AISTATS 2025
When narrower is better: the narrow width limit of Bayesian parallel branching neural networks
ICLR 2025
Winner-takes-all for Multivariate Probabilistic Time Series Forecasting
ICML 2025
Zero-Inflated Bandits
ICML 2025
Zono-Conformal Prediction: Zonotope-Based Uncertainty Quantification for Regression and Classification Tasks
JMLR 2025
f-Divergence Based Classification: Beyond the Use of Cross-Entropy
ICML 2024
VITS : Variational Inference Thompson Sampling for contextual bandits
ICML 2024
3D Gaussian Splatting as Markov Chain Monte Carlo
NeurIPS 2024
A Bayesian Approach for Personalized Federated Learning in Heterogeneous Settings
NeurIPS 2024
A Bayesian Approach to Data Point Selection
NeurIPS 2024
A Bayesian Approach to Online Planning
ICML 2024
A Bayesian Approach to OOD Robustness in Image Classification
CVPR 2024
A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with an Arbitrary Opponent
AISTATS 2024
Abductive Reasoning in Logical Credal Networks
NeurIPS 2024
A causality-inspired plus-minus model for player evaluation in team sports
CLeaR 2024
Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo
AISTATS 2024
Accelerating Convergence in Bayesian Few-Shot Classification
ICML 2024
Accelerating Look-ahead in Bayesian Optimization: Multilevel Monte Carlo is All you Need
ICML 2024
Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks
ICLR 2024
Accurate Parameter Estimation for Safety-Critical Systems with Unmodeled Dynamics (Abstract Reprint)
AAAI 2024
Accurate Training Data for Occupancy Map Prediction in Automated Driving Using Evidence Theory
CVPR 2024
A Collocation-based Method for Addressing Challenges in Word-level Metric Differential Privacy
ACL 2024
Active Preference Learning for Large Language Models
ICML 2024