Bayesian Inference

BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition ICML 2024 Beam Enumeration: Probabilistic Explainability For Sample Efficient Self-conditioned Molecular Design ICLR 2024 Benchmarking LLMs via Uncertainty Quantification NeurIPS 2024 Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks NeurIPS 2024 Benefits of Non-Linear Scale Parameterizations in Black Box Variational Inference through Smoothness Results and Gradient Variance Bounds AISTATS 2024 Better-than-KL PAC-Bayes Bounds COLT 2024 Beyond Bayesian Model Averaging over Paths in Probabilistic Programs with Stochastic Support AISTATS 2024 Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling ICML 2024 Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion CVPR 2024 Beyond the Calibration Point: Mechanism Comparison in Differential Privacy ICML 2024 Bias Amplification in Language Model Evolution: An Iterated Learning Perspective NeurIPS 2024 Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent Coding NeurIPS 2024 Bi-Level One-Shot Architecture Search for Probabilistic Time Series Forecasting AutoML 2024 Bio-inspired Dynamic and Decentralized Online Learning in Uninformed Heterogeneous Multi-Agent Environments IJCAI 2024 Bivariate Causal Discovery using Bayesian Model Selection ICML 2024 Black Box Variational Inference with a Deterministic Objective: Faster, More Accurate, and Even More Black Box JMLR 2024 BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models NeurIPS 2024 Block Sparse Bayesian Learning: A Diversified Scheme NeurIPS 2024 BMRS: Bayesian Model Reduction for Structured Pruning NeurIPS 2024 Boosting Vision-Language Models with Transduction NeurIPS 2024 BOtied: Multi-objective Bayesian optimization with tied multivariate ranks ICML 2024 Boundary constrained Gaussian processes for robust physics-informed machine learning of linear partial differential equations JMLR 2024 Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints ICML 2024 Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty AISTATS 2024 BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback ICML 2024