Bayesian & Probabilistic

Learning Structural Causal Models from Ordering: Identifiable Flow Models AAAI 2025 Learning Subjective Label Distributions via Sociocultural Descriptors EMNLP 2025 Learning the Optimal Stopping for Early Classification within Finite Horizons via Sequential Probability Ratio Test ICLR 2025 Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes AISTATS 2025 Linear cost and exponentially convergent approximation of Gaussian Matérn processes on intervals JMLR 2025 Linear System Identification from Snapshot Data by Schrodinger bridge L4DC 2025 LITE: Efficiently Estimating Gaussian Probability of Maximality AISTATS 2025 LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet? EMNLP 2025 Long-time asymptotics of noisy SVGD outside the population limit ICLR 2025 LoSAM: Local Search in Additive Noise Models with Mixed Mechanisms and General Noise for Global Causal Discovery UAI 2025 Memory-Efficient Pseudo-Labeling for Online Source-Free Universal Domain Adaptation using a Gaussian Mixture Model WACV 2025 Mitigating Hallucinations in LM-Based TTS Models via Distribution Alignment Using GFlowNets EMNLP 2025 Mixtures of Gaussian Process Experts with SMC^2 JMLR 2025 Mixup Regularization: A Probabilistic Perspective UAI 2025 Modeling All Response Surfaces in One for Conditional Search Spaces AAAI 2025 Modelling Populations of Interaction Networks via Distance Metrics JMLR 2025 Monte Carlo Temperature: a robust sampling strategy for LLM’s uncertainty quantification methods NAACL 2025 Multi-Objective Molecular Design Through Learning Latent Pareto Set AAAI 2025 Multivariate Probabilistic Assessment of Speech Quality Interspeech 2025 NAPI-MPC: Neural Accelerated Physics-Informed MPC for Nonlinear PDE Systems L4DC 2025 Near-Optimal Algorithm for Non-Stationary Kernelized Bandits AISTATS 2025 Neural Point Processes for Pixel-wise Regression AISTATS 2025 Neural Topic Modeling via Contextual and Graph Information Fusion EMNLP 2025 New Compilation Languages Based on Restricted Weak Decomposability AAAI 2025 Noise-Aware Differentially Private Variational Inference AISTATS 2025