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Gaussian Processes

570 papers

Papers per year

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Papers

Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration CVPR 2023
Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction CVPR 2023
Robust and Scalable Gaussian Process Regression and Its Applications CVPR 2023
Learning a Depth Covariance Function CVPR 2023
Constrained Causal Bayesian Optimization ICML 2023
Gaussian processes at the Helm(holtz): A more fluid model for ocean currents ICML 2023
Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients ICML 2023
Causal Modeling of Policy Interventions From Treatment-Outcome Sequences ICML 2023
Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes ICML 2023
Estimating Causal Effects using a Multi-task Deep Ensemble ICML 2023
Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models ICML 2023
Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification ICML 2023
Optimizing Hyperparameters with Conformal Quantile Regression ICML 2023
Bayesian online change point detection with Hilbert space approximate Student-t process ICML 2023
Tensor Gaussian Process with Contraction for Multi-Channel Imaging Analysis ICML 2023
Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds ICML 2023
Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes ICML 2023
Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes ICML 2023
Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes ICML 2023
Random Grid Neural Processes for Parametric Partial Differential Equations ICML 2023
Delayed Feedback in Kernel Bandits ICML 2023
Uncertainty Estimation for Molecules: Desiderata and Methods ICML 2023
Constrained Efficient Global Optimization of Expensive Black-box Functions ICML 2023
A theory of representation learning gives a deep generalisation of kernel methods ICML 2023
Distilling knowledge from Gaussian process teacher to neural network student INTERSPEECH 2023