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)

Multi-fidelity Bayesian Optimization with Multiple Information Sources of Input-dependent Fidelity UAI 2024 Multi-hypotheses Conditioned Point Cloud Diffusion for 3D Human Reconstruction from Occluded Images NeurIPS 2024 Multi-Objective Bayesian Optimization with Active Preference Learning AAAI 2024 Multi-objective Counterfactuals in Bayesian Classifiers with Estimation of Distribution Algorithms PGM 2024 Multiple Hypothesis Dropout: Estimating the Parameters of Multi-Modal Output Distributions AAAI 2024 Multiple-output composite quantile regression through an optimal transport lens COLT 2024 Multiple-Source Localization from a Single-Snapshot Observation Using Graph Bayesian Optimization AAAI 2024 Multivariate Probabilistic Time Series Forecasting with Correlated Errors NeurIPS 2024 Mutual Information Estimation via Normalizing Flows NeurIPS 2024 Near-Optimality of Contrastive Divergence Algorithms NeurIPS 2024 Negative-Binomial Randomized Gamma Dynamical Systems for Heterogeneous Overdispersed Count Time Sequences IJCAI 2024 NeoRL: Efficient Exploration for Nonepisodic RL NeurIPS 2024 NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation AAAI 2024 Neural Conditional Probability for Uncertainty Quantification NeurIPS 2024 Neural Markov Random Field for Stereo Matching CVPR 2024 Neural Network Approximators for Marginal MAP in Probabilistic Circuits AAAI 2024 Neuro-Symbolic Data Generation for Math Reasoning NeurIPS 2024 Noise-Aware Differentially Private Regression via Meta-Learning NeurIPS 2024 Nonparametric Automatic Differentiation Variational Inference with Spline Approximation AISTATS 2024 Nonparametric Copula Models for Multivariate, Mixed, and Missing Data JMLR 2024 Nonstationary Sparse Spectral Permanental Process NeurIPS 2024 No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity Constraints AISTATS 2024 Normalizing Flows on the Product Space of SO(3) Manifolds for Probabilistic Human Pose Modeling CVPR 2024 Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees JMLR 2024 On Convergence of Federated Averaging Langevin Dynamics UAI 2024