Showing 1–16 of 16 results
/ Date/ Name
Dec 5, 2023Materials Expert-Artificial Intelligence for Materials DiscoveryOct 28, 2021Conditioning Sparse Variational Gaussian Processes for Online Decision-makingFeb 25, 2021Loss Surface Simplexes for Mode Connecting Volumes and Fast EnsemblingJun 24, 2021Bayesian Optimization with High-Dimensional OutputsMar 30, 2022On Uncertainty, Tempering, and Data Augmentation in Bayesian ClassificationNov 29, 2021Optimizing High-Dimensional Physics Simulations via Composite Bayesian OptimizationMar 23, 2022Accelerating Bayesian Optimization for Biological Sequence Design with Denoising AutoencodersJul 14, 2022Low-Precision Arithmetic for Fast Gaussian ProcessesDec 31, 2021When are Iterative Gaussian Processes Reliably Accurate?Mar 25, 2020Similarity of Neural Networks with GradientsMar 2, 2021Kernel Interpolation for Scalable Online Gaussian ProcessesJul 13, 2022Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian ProcessesMar 4, 2020Rethinking Parameter Counting in Deep Models: Effective Dimensionality RevisitedOct 29, 2019Function-Space Distributions over KernelsJul 17, 2019Subspace Inference for Bayesian Deep LearningMar 2, 2021Fast Adaptation with Linearized Neural Networks