conftrace_
← Machine Learning
Machine Learning ›

Bayesian & Probabilistic

3,963 papers (2 classified directly here)

Subtopics

Probabilistic Modeling (2,252) Variational Inference (802) Gaussian Processes (570) Bayesian Learning (455) Bayesian Optimization (221) Markov Chain Monte Carlo (143) Nonparametric Bayesian (86) Bayesian Networks (81) Conditional Random Fields (5)

Papers per year

9
118
124
394
151
'05
'10
'15
'20
'25

Papers (including subtopics)

Distribution-Conditioned Adversarial Variational Autoencoder for Valid Instrumental Variable Generation AAAI 2024
Efficient Variational Sequential Information Control AISTATS 2024
Probabilistic Neural Circuits AAAI 2024
Neural Network Approximators for Marginal MAP in Probabilistic Circuits AAAI 2024
A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective NIPS 2024
Globally Convergent Variational Inference NIPS 2024
Decomposable Transformer Point Processes NIPS 2024
TreeVI: Reparameterizable Tree-structured Variational Inference for Instance-level Correlation Capturing NIPS 2024
Sample-Constrained Black Box Optimization for Audio Personalization AAAI 2024
A probability contrastive learning framework for 3D molecular representation learning NIPS 2024
On the connection between Noise-Contrastive Estimation and Contrastive Divergence AISTATS 2024
QUEST: Quality-Aware Metropolis-Hastings Sampling for Machine Translation NIPS 2024
No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity Constraints AISTATS 2024
Sparse Bayesian Generative Modeling for Compressive Sensing NIPS 2024
Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent Coding NIPS 2024
Identifiability of Product of Experts Models AISTATS 2024
Gradients of Functions of Large Matrices NIPS 2024
Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum AISTATS 2024
Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty AISTATS 2024
Surrogate Bayesian Networks for Approximating Evolutionary Games AISTATS 2024
Sparse Graphical Linear Dynamical Systems JMLR 2024
Model-Based Transfer Learning for Contextual Reinforcement Learning NIPS 2024
Neuro-Symbolic Data Generation for Math Reasoning NIPS 2024
Aligning Uncertainty: Leveraging LLMs to Analyze Uncertainty Transfer in Text Summarization EACL 2024
Optimal estimation of Gaussian (poly)trees AISTATS 2024