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Probabilistic Modeling

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Papers

Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning NIPS 2024
Robust Gaussian Processes via Relevance Pursuit NIPS 2024
Warped Diffusion for Latent Differentiation Inference AISTATS 2024
A Bayesian Quantification of Aporophobia and the Aggravating Effect of Low–Wealth Contexts on Stigmatization NAACL 2024
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression AAAI 2024
Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors AISTATS 2024
Style Adaptation and Uncertainty Estimation for Multi-Source Blended-Target Domain Adaptation NIPS 2024
Functional Directed Acyclic Graphs JMLR 2024
Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees JMLR 2024
Generative Flow Networks as Entropy-Regularized RL AISTATS 2024
Constrained Sampling with Primal-Dual Langevin Monte Carlo NIPS 2024
Linear Uncertainty Quantification of Graphical Model Inference NIPS 2024
A General Framework for the Analysis of Kernel-based Tests JMLR 2024
Estimating treatment effects from single-arm trials via latent-variable modeling AISTATS 2024
Towards Human-Like Machine Comprehension: Few-Shot Relational Learning in Visually-Rich Documents COLING 2024
Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex AISTATS 2024
Dirichlet process mixture model based on topologically augmented signal representation for clustering infant vocalizations INTERSPEECH 2024
Fairness-Aware Estimation of Graphical Models NIPS 2024
Exploring Energy-Based Models for Out-of-Distribution Detection in Dialect Identification INTERSPEECH 2024
Better Batch for Deep Probabilistic Time Series Forecasting AISTATS 2024
Normalizing Flows on the Product Space of SO(3) Manifolds for Probabilistic Human Pose Modeling CVPR 2024
A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models NIPS 2024
Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference NIPS 2024
Probabilistic Integral Circuits AISTATS 2024
Robust Approximate Sampling via Stochastic Gradient Barker Dynamics AISTATS 2024