posterior distribution

Latent Logic Tree Extraction for Event Sequence Explanation from LLMs ICML 2024 MAPTree: Beating “Optimal” Decision Trees with Bayesian Decision Trees AAAI 2024 On cyclical MCMC sampling AISTATS 2024 On the Posterior Distribution in Denoising: Application to Uncertainty Quantification ICLR 2024 On the Quantification of Image Reconstruction Uncertainty Without Training Data WACV 2024 On Truthing Issues in Supervised Classification JMLR 2024 Sample-efficient neural likelihood-free Bayesian inference of implicit HMMs AISTATS 2024 Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models ICML 2024 Stationarity without mean reversion in improper Gaussian processes ICML 2024 Strong Transferable Adversarial Attacks via Ensembled Asymptotically Normal Distribution Learning CVPR 2024 Structural Inference of Dynamical Systems with Conjoined State Space Models NeurIPS 2024 Subsampling Error in Stochastic Gradient Langevin Diffusions AISTATS 2024 Tensor-train methods for sequential state and parameter learning in state-space models JMLR 2024 The Perception-Robustness Tradeoff in Deterministic Image Restoration ICML 2024 Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox NeurIPS 2024 TreeVI: Reparameterizable Tree-structured Variational Inference for Instance-level Correlation Capturing NeurIPS 2024 Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model AAAI 2024 Uncertainty Visualization via Low-Dimensional Posterior Projections CVPR 2024 Walking the Values in Bayesian Inverse Reinforcement Learning UAI 2024 Adversarial robustness of amortized Bayesian inference ICML 2023 Approximate Thompson Sampling via Epistemic Neural Networks UAI 2023 Asymptotics of Bayesian Uncertainty Estimation in Random Features Regression NeurIPS 2023 Bayesian Estimation of Differential Privacy ICML 2023 Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning EMNLP 2023 Compositional Score Modeling for Simulation-Based Inference ICML 2023