Bayesian Inference

Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization ICML 2024 Noise-Aware Differentially Private Regression via Meta-Learning NeurIPS 2024 Nonasymptotic analysis of Stochastic Gradient Hamiltonian Monte Carlo under local conditions for nonconvex optimization JMLR 2024 Nonparametric Automatic Differentiation Variational Inference with Spline Approximation AISTATS 2024 Nonparametric Copula Models for Multivariate, Mixed, and Missing Data JMLR 2024 Nonstationary Sparse Spectral Permanental Process NeurIPS 2024 Not all distributional shifts are equal: Fine-grained robust conformal inference ICML 2024 Not All Errors Are Made Equal: A Regret Metric for Detecting System-level Trajectory Prediction Failures CoRL 2024 Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees JMLR 2024 OCCAM: Online Continuous Controller Adaptation with Meta-Learned Models CoRL 2024 OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning AAAI 2024 On Calibration of Speech Classification Models: Insights from Energy-Based Model Investigations Interspeech 2024 On cyclical MCMC sampling AISTATS 2024 On Differentially Private Subspace Estimation in a Distribution-Free Setting NeurIPS 2024 On Efficient and Scalable Computation of the Nonparametric Maximum Likelihood Estimator in Mixture Models JMLR 2024 One Sample Fits All: Approximating All Probabilistic Values Simultaneously and Efficiently NeurIPS 2024 One Step Closer to Unbiased Aleatoric Uncertainty Estimation AAAI 2024 On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design AAAI 2024 On Feynman-Kac training of partial Bayesian neural networks AISTATS 2024 Online Bayesian Persuasion Without a Clue NeurIPS 2024 Online Calibrated and Conformal Prediction Improves Bayesian Optimization AISTATS 2024 Online conformal prediction with decaying step sizes ICML 2024 Online Posterior Sampling with a Diffusion Prior NeurIPS 2024 Online Variational Sequential Monte Carlo ICML 2024 On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models NeurIPS 2024