gaussian process

A New Representation of Successor Features for Transfer across Dissimilar Environments ICML 2021 An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence NeurIPS 2021 A self consistent theory of Gaussian Processes captures feature learning effects in finite CNNs NeurIPS 2021 A universal probabilistic spike count model reveals ongoing modulation of neural variability NeurIPS 2021 A variational approximate posterior for the deep Wishart process NeurIPS 2021 Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks AAAI 2021 Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information ICML 2021 Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes ICLR 2021 Bayesian neural network unit priors and generalized Weibull-tail property ACML 2021 Bayesian Optimistic Optimisation with Exponentially Decaying Regret ICML 2021 Bayesian Optimization of Function Networks NeurIPS 2021 Bayesian Optimization with High-Dimensional Outputs NeurIPS 2021 Bayesian Optimized Monte Carlo Planning AAAI 2021 Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations? AISTATS 2021 Bias-Free Scalable Gaussian Processes via Randomized Truncations ICML 2021 Combinatorial Gaussian Process Bandits with Probabilistically Triggered Arms AISTATS 2021 Combining pseudo-point and state space approximations for sum-separable Gaussian Processes UAI 2021 Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features NeurIPS 2021 Conditioning Sparse Variational Gaussian Processes for Online Decision-making NeurIPS 2021 Continuous Integration over SO(3) for IMU Preintegration RSS 2021 Continuous-time edge modelling using non-parametric point processes NeurIPS 2021 Contraction L1-Adaptive Control using Gaussian Processes L4DC 2021 Convergence Guarantees for Gaussian Process Means With Misspecified Likelihoods and Smoothness JMLR 2021 Deconditional Downscaling with Gaussian Processes NeurIPS 2021 Deep Generative Analysis for Task-Based Functional MRI Experiments MLHC 2021