Bayesian & Probabilistic

Universality of Langevin Diffusion for Private Optimization, with Applications to Sampling from Rashomon Sets COLT 2023 Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration CVPR 2023 Unsupervised representation learning with recognition-parametrised probabilistic models AISTATS 2023 Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction CVPR 2023 Utilising the CLT Structure in Stochastic Gradient based Sampling : Improved Analysis and Faster Algorithms COLT 2023 Variational Boosted Soft Trees AISTATS 2023 Variational Gaussian processes for linear inverse problems NeurIPS 2023 Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing NeurIPS 2023 Variational Inference with Gaussian Score Matching NeurIPS 2023 Variational Open-Domain Question Answering ICML 2023 Variational Wasserstein Barycenters with C-cyclical Monotonicity Regularization AAAI 2023 VaRT: Variational Regression Trees NeurIPS 2023 VOCE: Variational Optimization with Conservative Estimation for Offline Safe Reinforcement Learning NeurIPS 2023 What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization NeurIPS 2023 “Why Not Looking backward?” A Robust Two-Step Method to Automatically Terminate Bayesian Optimization NeurIPS 2023 A Bayesian Approach for Stochastic Continuum-armed Bandit with Long-term Constraints AISTATS 2022 Abstract Argumentation Frameworks with Marginal Probabilities IJCAI 2022 Accurate and Scalable Gaussian Processes for Fine-Grained Air Quality Inference AAAI 2022 Accurate Quantization of Measures via Interacting Particle-based Optimization ICML 2022 A Class of Conjugate Priors for Multinomial Probit Models which Includes the Multivariate Normal One JMLR 2022 A Completely Tuning-Free and Robust Approach to Sparse Precision Matrix Estimation ICML 2022 A Continuous Time Framework for Discrete Denoising Models NeurIPS 2022 Active Structure Learning of Bayesian Networks in an Observational Setting JMLR 2022 Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization AISTATS 2022 Adaptive Gating for Single-Photon 3D Imaging CVPR 2022