Skip to content
conftrace_

Bayesian & Probabilistic

5,407 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Probabilistic Modeling (3,137) Bayesian Learning (1,734) Bayesian Inference (1,087) Variational Inference (275) Bayesian Networks (103) Gaussian Processes (88)

Papers per year

1
9
127
168
460
385
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

ABC3: Active Bayesian Causal Inference with Cohn Criteria in Randomized Experiments AAAI 2025 Accelerated Diffusion Models via Speculative Sampling ICML 2025 Accurate and Scalable Stochastic Gaussian Process Regression via Learnable Coreset-based Variational Inference UAI 2025 A Computationally Grounded Framework for Cognitive Attitudes AAAI 2025 A Conditional Probability Framework for Compositional Zero-shot Learning ICCV 2025 A Copula-Based Generative Score-Level Fusion Model for Speaker Verification Interspeech 2025 Active Task Disambiguation with LLMs ICLR 2025 Adaptive Elicitation of Latent Information Using Natural Language ICML 2025 Adaptive RKHS Fourier Features for Compositional Gaussian Process Models AISTATS 2025 Adaptive Shrinkage Estimation for Personalized Deep Kernel Regression in Modeling Brain Trajectories ICLR 2025 A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation AAAI 2025 A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence AISTATS 2025 AFFAKT: A Hierarchical Optimal Transport Based Method for Affective Facial Knowledge Transfer in Video Deception Detection AAAI 2025 A Generic Framework for Conformal Fairness ICLR 2025 Agnostic Private Density Estimation for GMMs via List Global Stability ALT 2025 A Meta-Learning Approach to Bayesian Causal Discovery ICLR 2025 Amortized Bayesian Meta-Learning for Low-Rank Adaptation of Large Language Models EMNLP 2025 Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series ICLR 2025 Analyzing Uncertainty of LLM-as-a-Judge: Interval Evaluations with Conformal Prediction EMNLP 2025 Ant Colony Sampling with GFlowNets for Combinatorial Optimization AISTATS 2025 A Periodic Bayesian Flow for Material Generation ICLR 2025 Approximate Bayesian Inference via Bitstring Representations UAI 2025 Approximate Bilevel Difference Convex Programming for Bayesian Risk Markov Decision Processes AAAI 2025 Approximated Variational Bayesian Inverse Reinforcement Learning for Large Language Model Alignment AAAI 2025 Approximate Lifted Model Construction IJCAI 2025