Bayesian & Probabilistic

Diffusion Bridge Mixture Transports, Schrödinger Bridge Problems and Generative Modeling JMLR 2023 Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data JMLR 2023 Disentangled CVAEs with Contrastive Learning for Explainable Recommendation AAAI 2023 Disentangled Representation for Causal Mediation Analysis AAAI 2023 Distilling knowledge from Gaussian process teacher to neural network student Interspeech 2023 Double Doubly Robust Thompson Sampling for Generalized Linear Contextual Bandits AAAI 2023 Effective Neural Topic Modeling with Embedding Clustering Regularization ICML 2023 Efficient and Accurate Learning of Mixtures of Plackett-Luce Models AAAI 2023 Efficient Exploration in Continuous-time Model-based Reinforcement Learning NeurIPS 2023 Efficient Latent Variable Modeling for Knowledge-Grounded Dialogue Generation EMNLP 2023 Efficient preconditioned stochastic gradient descent for estimation in latent variable models ICML 2023 Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification ICML 2023 Embracing the chaos: analysis and diagnosis of numerical instability in variational flows NeurIPS 2023 Encoding Domain Knowledge in Multi-view Latent Variable Models: A Bayesian Approach with Structured Sparsity AISTATS 2023 Estimating Causal Effects using a Multi-task Deep Ensemble ICML 2023 Explaining the effects of non-convergent MCMC in the training of Energy-Based Models ICML 2023 Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models NeurIPS 2023 Expressive probabilistic sampling in recurrent neural networks NeurIPS 2023 Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti’s Theorem for Markov Chains ICML 2023 Factorial SDE for Multi-Output Gaussian Process Regression AISTATS 2023 FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels ICML 2023 Failure-Aware Gaussian Process Optimization with Regret Bounds NeurIPS 2023 Folded Hamiltonian Monte Carlo for Bayesian Generative Adversarial Networks ACML 2023 Formally Verified Solution Methods for Markov Decision Processes AAAI 2023 Free Energy of Bayesian Convolutional Neural Network with Skip Connection ACML 2023