Showing 1–20 of 49 results
/ Date/ Name
Oct 26, 2023Large-Scale Gaussian Processes via Alternating ProjectionOct 21, 2022Local Bayesian optimization via maximizing probability of descentMay 24, 2023On the Convergence of Black-Box Variational InferenceJan 28, 2022Local Latent Space Bayesian Optimization over Structured InputsJun 29, 2020Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step TreesJul 8, 2021Scaling Gaussian Processes with Derivative Information Using Variational InferenceJan 26, 2015Compressed Support Vector MachinesMar 16, 2018Constant-Time Predictive Distributions for Gaussian ProcessesDec 14, 2023Distributional Latent Variable Models with an Application in Active Cognitive TestingJul 15, 2024A Fast, Robust Elliptical Slice Sampling Implementation for Linearly Truncated Multivariate Normal DistributionsAug 14, 2025A Dataset for Distilling Knowledge Priors from Literature for Therapeutic DesignMay 27, 2025Nearly Dimension-Independent Convergence of Mean-Field Black-Box Variational InferenceJun 3, 2024Demystifying SGD with Doubly Stochastic GradientsJan 29, 2026Knowledge Gradient for Preference LearningOct 8, 2025Electron affinity difference distributions guide the discovery of the superconductor PtPb$_3$BiFeb 27, 2024Stochastic Approximation with Biased MCMC for Expectation MaximizationSep 6, 2014A Reduction of the Elastic Net to Support Vector Machines with an Application to GPU ComputingMar 11, 2025Large Scale Multi-Task Bayesian Optimization with Large Language ModelsJan 31, 2025Covering Multiple Objectives with a Small Set of Solutions Using Bayesian OptimizationJul 27, 2023Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing?