conftrace_

Bayesian & Probabilistic

5,407 papers (3 classified directly here)

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

Probabilistic Modeling (3,137) Bayesian Learning (1,734) Bayesian Inference (1,087) Variational Inference (275) Bayesian Networks (103) Gaussian Processes (88)

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Papers (including subtopics)

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 Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution ICML 2024 Stochastic Gradient Descent for Gaussian Processes Done Right ICLR 2024 Stochastic Localization via Iterative Posterior Sampling ICML 2024 Stochastic Neural Simulator for Generalizing Dynamical Systems across Environments IJCAI 2024 Stopping Bayesian Optimization with Probabilistic Regret Bounds NeurIPS 2024 Streaming Bayes GFlowNets NeurIPS 2024 Structural Inference of Dynamical Systems with Conjoined State Space Models NeurIPS 2024 Structural Inference with Dynamics Encoding and Partial Correlation Coefficients ICLR 2024 Structured Optimal Variational Inference for Dynamic Latent Space Models JMLR 2024 Style Adaptation and Uncertainty Estimation for Multi-Source Blended-Target Domain Adaptation NeurIPS 2024 Submodular information selection for hypothesis testing with misclassification penalties L4DC 2024 Subtractive Mixture Models via Squaring: Representation and Learning ICLR 2024 SUMix: Mixup with Semantic and Uncertain Information ECCV 2024 Sum-Product-Set Networks: Deep Tractable Models for Tree-Structured Graphs ICLR 2024 TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series ICLR 2024 Taking a turn for the better: Conversation redirection throughout the course of mental-health therapy EMNLP 2024 Testing exchangeability by pairwise betting AISTATS 2024 The ALℓ_0CORE Tensor Decomposition for Sparse Count Data AISTATS 2024 The Bayesian sampling in a canonical recurrent circuit with a diversity of inhibitory interneurons NeurIPS 2024 The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection NeurIPS 2024 The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution AAAI 2024 The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank AAAI 2024 Theory-guided Message Passing Neural Network for Probabilistic Inference AISTATS 2024