conftrace_

Bayesian & Probabilistic

4,733 papers (2 classified directly here)

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

Probabilistic Modeling (2,617) Variational Inference (898) Gaussian Processes (666) Bayesian Learning (483) Markov Chain Monte Carlo (374) Bayesian Optimization (284) Nonparametric Bayesian (174) Bayesian Networks (149) Conditional Random Fields (39)

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Papers (including subtopics)

Better-than-KL PAC-Bayes Bounds COLT 2024 Beyond Bayesian Model Averaging over Paths in Probabilistic Programs with Stochastic Support AISTATS 2024 Beyond IID weights: sparse and low-rank deep Neural Networks are also Gaussian Processes ICLR 2024 Beyond Single Stationary Policies: Meta-Task Players as Naturally Superior Collaborators NeurIPS 2024 Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent Coding NeurIPS 2024 Big Learning Expectation Maximization AAAI 2024 Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty AISTATS 2024 Breaking the curse of dimensionality in structured density estimation NeurIPS 2024 Bridge-IF: Learning Inverse Protein Folding with Markov Bridges NeurIPS 2024 Building Expressive and Tractable Probabilistic Generative Models: A Review IJCAI 2024 Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space AAAI 2024 Cascade of phase transitions in the training of energy-based models NeurIPS 2024 Categorical Flow Matching on Statistical Manifolds NeurIPS 2024 Cauchy Graphical Models PGM 2024 CausalCite: A Causal Formulation of Paper Citations ACL 2024 Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis AAAI 2024 Causal Effect Identification in a Sub-Population with Latent Variables NeurIPS 2024 Causal Structure Learning With Momentum: Sampling Distributions Over Markov Equivalence Classes PGM 2024 CGMGM: A Cross-Gaussian Mixture Generative Model for Few-Shot Semantic Segmentation AAAI 2024 Chain of Log-Concave Markov Chains ICLR 2024 Choosing the Number of Topics in LDA Models – A Monte Carlo Comparison of Selection Criteria JMLR 2024 Classification Diffusion Models: Revitalizing Density Ratio Estimation NeurIPS 2024 Classifier Calibration with ROC-Regularized Isotonic Regression AISTATS 2024 Collaborative Synthesis of Patient Records through Multi-Visit Health State Inference AAAI 2024 Colour Passing Revisited: Lifted Model Construction with Commutative Factors AAAI 2024