Bayesian & Probabilistic

Law of Large Numbers for Bayesian two-layer Neural Network trained with Variational Inference COLT 2023 Learning a Depth Covariance Function CVPR 2023 Learning and Testing Latent-Tree Ising Models Efficiently COLT 2023 Learning-augmented count-min sketches via Bayesian nonparametrics JMLR 2023 Learning Curves for Deep Structured Gaussian Feature Models NeurIPS 2023 Learning Energy-based Model via Dual-MCMC Teaching NeurIPS 2023 Learning GFlowNets From Partial Episodes For Improved Convergence And Stability ICML 2023 Learning Hidden Markov Models Using Conditional Samples COLT 2023 Learning Markov Random Fields for Combinatorial Structures via Sampling through Lovász Local Lemma AAAI 2023 Learning Mixtures of Gaussians with Censored Data ICML 2023 Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation ICML 2023 Learning to love diligent trolls: Accounting for rater effects in the dialogue safety task EMNLP 2023 Lifted Inference with Linear Order Axiom AAAI 2023 Likelihood Adjusted Semidefinite Programs for Clustering Heterogeneous Data ICML 2023 Local Justice and Machine Learning: Modeling and Inferring Dynamic Ethical Preferences toward Allocations AAAI 2023 Log-FGAER: Logic-Guided Fine-Grained Address Entity Recognition from Multi-Turn Spoken Dialogue EMNLP 2023 Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference ICML 2023 Maximum likelihood estimation in Gaussian process regression is ill-posed JMLR 2023 Meta-Learning for Simple Regret Minimization AAAI 2023 MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks ICML 2023 MixFlows: principled variational inference via mixed flows ICML 2023 MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under nonparametrized geometrical variability NeurIPS 2023 Mode-constrained Model-based Reinforcement Learning via Gaussian Processes AISTATS 2023 Model-based Causal Bayesian Optimization ICLR 2023 Moment Matching Denoising Gibbs Sampling NeurIPS 2023