Probabilistic Modeling

Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting UAI 2023 Disagreement Matters: Preserving Label Diversity by Jointly Modeling Item and Annotator Label Distributions with DisCo ACL 2023 Distilling knowledge from Gaussian process teacher to neural network student Interspeech 2023 Double Randomized Underdamped Langevin with Dimension-Independent Convergence Guarantee NeurIPS 2023 Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions ICML 2023 dugMatting: Decomposed-Uncertainty-Guided Matting ICML 2023 Editing Boolean Classifiers: A Belief Change Perspective AAAI 2023 Efficient approximation of neural population structure and correlations with probabilistic circuits ICLR 2023 Efficient Sampling of Stochastic Differential Equations with Positive Semi-Definite Models NeurIPS 2023 Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification ICML 2023 Encoding Domain Knowledge in Multi-view Latent Variable Models: A Bayesian Approach with Structured Sparsity AISTATS 2023 Energy-based Self-Training and Normalization for Unsupervised Domain Adaptation ICCV 2023 Energy-Based Test Sample Adaptation for Domain Generalization ICLR 2023 Energy Discrepancies: A Score-Independent Loss for Energy-Based Models NeurIPS 2023 Exact Bayesian Inference on Discrete Models via Probability Generating Functions: A Probabilistic Programming Approach NeurIPS 2023 Exploiting Inferential Structure in Neural Processes UAI 2023 Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification CVPR 2023 Factor Graph Neural Networks JMLR 2023 FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels ICML 2023 Finding an ϵ-Close Minimal Variation of Parameters in Bayesian Networks IJCAI 2023 FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score EMNLP 2023 From Understanding Genetic Drift to a Smart-Restart Mechanism for Estimation-of-Distribution Algorithms JMLR 2023 Function-Space Regularization in Neural Networks: A Probabilistic Perspective ICML 2023 FUSSL: Fuzzy Uncertain Self Supervised Learning WACV 2023 GAUCHE: A Library for Gaussian Processes in Chemistry NeurIPS 2023