Bayesian & Probabilistic
5,407 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
1
2
5
7
4
9
71
90
96
90
127
113
152
198
196
168
213
197
273
389
460
470
455
481
482
385
273
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning
EMNLP 2023
Bayesian Networks for the robust and unbiased prediction of depression and its symptoms utilizing speech and multimodal data
Interspeech 2023
Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts
ICML 2023
Bayesian nonparametric (non-)renewal processes for analyzing neural spike train variability
NeurIPS 2023
Bayesian online change point detection with Hilbert space approximate Student-t process
ICML 2023
Bayesian Optimization with Conformal Prediction Sets
AISTATS 2023
Bayesian Optimization with Cost-varying Variable Subsets
NeurIPS 2023
Bayesian Posterior Approximation With Stochastic Ensembles
CVPR 2023
Bayesian Progressive Deep Topic Model with Knowledge Informed Textual Data Coarsening Process
ICML 2023
Bayesian Prompt Learning for Image-Language Model Generalization
ICCV 2023
Bayesian Spanning Tree: Estimating the Backbone of the Dependence Graph
JMLR 2023
Bayesian target optimisation for high-precision holographic optogenetics
NeurIPS 2023
Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees
JMLR 2023
Beam Search Optimized Batch Bayesian Active Learning
AAAI 2023
Benchmarking Constraint Inference in Inverse Reinforcement Learning
ICLR 2023
Better Peer Grading through Bayesian Inference
AAAI 2023
BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming
ICML 2023
Bounded rationality in structured density estimation
NeurIPS 2023
BSTT: A Bayesian Spatial-Temporal Transformer for Sleep Staging
ICLR 2023
Bypassing spike sorting: Density-based decoding using spike localization from dense multielectrode probes
NeurIPS 2023
Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability
NeurIPS 2023
Calibrating Transformers via Sparse Gaussian Processes
ICLR 2023
CataBEEM: Integrating Latent Interaction Categories in Node-wise Community Detection Models for Network Data
ICML 2023
Causal Conditional Hidden Markov Model for Multimodal Traffic Prediction
AAAI 2023
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data
NeurIPS 2023