Bayesian & Probabilistic

A Causal Markov Condition for Value UAI 2026 ACE: Adapting sampling for Counterfactual Explanations L4DC 2026 A Characterization of the Orthocomplement of the Tangent Space of Semiparametric Markov Models UAI 2026 Active Inference for Micro-Gesture Recognition: EFE-Guided Temporal Sampling and Adaptive Learning CVPR 2026 Adaptive Bayesian Early-Exit Networks for Efficient Non-Transferable Learning CVPR 2026 Adaptive Nonparametric Perturbations of Parametric Models with Generalized Bayes JMLR 2026 Advances in PAC-Bayesian certification of deep neural networks: tighter closed-form inequalities and optimization of bounds on non-differentiable losses UAI 2026 Advancing Image Classification with Discrete Diffusion Classification Modeling CVPR 2026 A Framework for Belief-based Programs and Their Verification (Abstract Reprint) AAAI 2026 Align While Search: Belief-Guided Exploratory Inference for World-Grounded Embodied Agents CVPR 2026 All Vehicles Can Lie: Efficient Adversarial Defense in Fully Untrusted-Vehicle Collaborative Perception via Pseudo-Random Bayesian Inference CVPR 2026 A Model of the Language Process ACL 2026 Anchoring the Affective Manifold: Learning Canonical and Disentangled Representations via Generative Cross-Modal Alignment ACL 2026 An Empirical Bayes Perspective on Heteroskedastic Mean Estimation COLT 2026 A Phase Transition for Opinion Dynamics with Competing Biases AAAI 2026 APIC: Amortized Physics-Informed Calibration using Neural Processes UAI 2026 A Probabilistic Circuit Framework for Interpretable Graph PU Learning UAI 2026 A Sobering Look at Tabular Data Generation via Probabilistic Circuits UAI 2026 Assumed Density Filtering and Smoothing with Neural Network Surrogate Models L4DC 2026 A Stronger Calculus of Intervention for Max-Linear Bayesian Networks UAI 2026 A Unified Approach to Analysis and Design of Denoising Markov Models JMLR 2026 A Unified View on Emotion Representation in Large Language Models EACL 2026 Avoiding exp($k^*$) Scaling for Thompson Sampling in Combinatorial Semi-Bandits: From Multiple Seeds to a Single Seed COLT 2026 B$^3$-Seg: Camera-Free, Training-Free 3DGS Segmentation via Analytic EIG and Beta-Bernoulli Bayesian Updates CVPR 2026 BA-GS: Bayesian Adaptive Gaussian Splatting for SFM-Free 3D Reconstruction CVPR 2026