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)

Spatial meshing for general Bayesian multivariate models JMLR 2024 Spatial properties of Bayesian unsupervised trees COLT 2024 SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space AAAI 2024 Spectral Learning of Shared Dynamics Between Generalized-Linear Processes NeurIPS 2024 Stable Implementation of Probabilistic ODE Solvers JMLR 2024 Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces JMLR 2024 Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case JMLR 2024 Statistical and Geometrical properties of the Kernel Kullback-Leibler divergence NeurIPS 2024 Stein Random Feature Regression UAI 2024 Stochastic Approximation with Biased MCMC for Expectation Maximization AISTATS 2024 Stochastic Concept Bottleneck Models NeurIPS 2024 Streaming Bayes GFlowNets NeurIPS 2024 Structural Inference of Dynamical Systems with Conjoined State Space Models NeurIPS 2024 Subtractive Mixture Models via Squaring: Representation and Learning ICLR 2024 Surrogate Bayesian Networks for Approximating Evolutionary Games AISTATS 2024 Symmetric Equilibrium Learning of VAEs AISTATS 2024 Symplectic Neural Gaussian Processes for Meta-learning Hamiltonian Dynamics IJCAI 2024 Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning NeurIPS 2024 Tensor-train methods for sequential state and parameter learning in state-space models JMLR 2024 The ALℓ_0CORE Tensor Decomposition for Sparse Count Data AISTATS 2024 The Choice of Noninformative Priors for Thompson Sampling in Multiparameter Bandit Models AAAI 2024 The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution AAAI 2024 Theory-guided Message Passing Neural Network for Probabilistic Inference AISTATS 2024 The Poisson Midpoint Method for Langevin Dynamics: Provably Efficient Discretization for Diffusion Models NeurIPS 2024 The power of an adversary in Glauber dynamics COLT 2024