Bayesian Inference

Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming NeurIPS 2024 Transitional Uncertainty with Layered Intermediate Predictions ICML 2024 Transition Constrained Bayesian Optimization via Markov Decision Processes NeurIPS 2024 Translation Equivariant Transformer Neural Processes ICML 2024 Transport meets Variational Inference: Controlled Monte Carlo Diffusions ICLR 2024 TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction NAACL 2024 Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization AAAI 2024 TreeVI: Reparameterizable Tree-structured Variational Inference for Instance-level Correlation Capturing NeurIPS 2024 Trust Regions for Explanations via Black-Box Probabilistic Certification ICML 2024 Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process AISTATS 2024 Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning NeurIPS 2024 Uncertainty-aware Action Decoupling Transformer for Action Anticipation CVPR 2024 Uncertainty-aware Continuous Implicit Neural Representations for Remote Sensing Object Counting AISTATS 2024 Uncertainty-Aware Mean Opinion Score Prediction Interspeech 2024 Uncertainty-Aware Reward-Free Exploration with General Function Approximation ICML 2024 Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions NeurIPS 2024 Uncertainty Estimation by Density Aware Evidential Deep Learning ICML 2024 Uncertainty Estimation in Instance Segmentation With Star-Convex Shapes WACV 2024 Uncertainty Estimation in Large Language Models to Support Biodiversity Conservation NAACL 2024 Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission NAACL 2024 Uncertainty for Active Learning on Graphs ICML 2024 Uncertainty informed optimal resource allocation with Gaussian process based Bayesian inference L4DC 2024 Uncertainty Quantification for In-Context Learning of Large Language Models NAACL 2024 Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model AAAI 2024 Uncertainty Visualization via Low-Dimensional Posterior Projections CVPR 2024