Probabilistic Modeling

$χ$SPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains UAI 2024 $Ψ$net: Efficient Causal Modeling at Scale PGM 2024 A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective NeurIPS 2024 Abductive Reasoning in Logical Credal Networks NeurIPS 2024 A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets NeurIPS 2024 Active Learning Guided by Efficient Surrogate Learners AAAI 2024 Adaptive Latent Feature Sharing for Piecewise Linear Dimensionality Reduction JMLR 2024 Adaptive Meta-Learning Probabilistic Inference Framework for Long Sequence Prediction AAAI 2024 A Data-Adaptive RKHS Prior for Bayesian Learning of Kernels in Operators JMLR 2024 Adversarially-Robust Inference on Trees via Belief Propagation COLT 2024 Adversarial Purification with the Manifold Hypothesis AAAI 2024 A General Framework for User-Guided Bayesian Optimization ICLR 2024 A General Model for Aggregating Annotations AcrossSimple, Complex, and Multi-object Annotation Tasks (Abstract Reprint) AAAI 2024 A Graph Theoretic Approach for Preference Learning with Feature Information UAI 2024 Aligning Uncertainty: Leveraging LLMs to Analyze Uncertainty Transfer in Text Summarization EACL 2024 An Approximate Skolem Function Counter AAAI 2024 A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models NeurIPS 2024 Approximating Intersections and Differences Between Linear Statistical Shape Models Using Markov Chain Monte Carlo WACV 2024 A probability contrastive learning framework for 3D molecular representation learning NeurIPS 2024 A Theory of Non-acyclic Generative Flow Networks AAAI 2024 A Tractable Inference Perspective of Offline RL NeurIPS 2024 A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs AAAI 2024 A versatile informative diffusion model for single-cell ATAC-seq data generation and analysis NeurIPS 2024 Batched Energy-Entropy acquisition for Bayesian Optimization NeurIPS 2024 Bayesian Adaptive Calibration and Optimal Design NeurIPS 2024