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)

Combining Statistical Depth and Fermat Distance for Uncertainty Quantification NeurIPS 2024 Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference NeurIPS 2024 Conditional Bayesian Quadrature UAI 2024 Conformal Autoregressive Generation: Beam Search with Coverage Guarantees AAAI 2024 Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting AAAI 2024 Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors AISTATS 2024 Constrained Bayesian Optimization under Partial Observations: Balanced Improvements and Provable Convergence AAAI 2024 Constrained Sampling with Primal-Dual Langevin Monte Carlo NeurIPS 2024 Constraint-Free Structure Learning with Smooth Acyclic Orientations ICLR 2024 Continual learning with the neural tangent ensemble NeurIPS 2024 Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing AAAI 2024 Contraction of Markovian Operators in Orlicz Spaces and Error Bounds for Markov Chain Monte Carlo (Extended Abstract) COLT 2024 Convergence Behavior of an Adversarial Weak Supervision Method UAI 2024 Convergence of Bayesian Bilevel Optimization ICLR 2024 Convergence of Kinetic Langevin Monte Carlo on Lie groups COLT 2024 Credal Deep Ensembles for Uncertainty Quantification NeurIPS 2024 Credal Learning Theory NeurIPS 2024 Data-Adaptive Probabilistic Likelihood Approximation for Ordinary Differential Equations AISTATS 2024 Data-Driven Knowledge-Aware Inference of Private Information in Continuous Double Auctions AAAI 2024 Debiasing Synthetic Data Generated by Deep Generative Models NeurIPS 2024 Decomposable Transformer Point Processes NeurIPS 2024 Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees AAAI 2024 Deep Learning for Computing Convergence Rates of Markov Chains NeurIPS 2024 Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval NeurIPS 2024 Detecting and Measuring Confounding Using Causal Mechanism Shifts NeurIPS 2024