gaussian process

A Learnable Safety Measure CoRL 2019 Amortized Variational Inference with Graph Convolutional Networks for Gaussian Processes AISTATS 2019 Approximate Inference Turns Deep Networks into Gaussian Processes NeurIPS 2019 AReS and MaRS Adversarial and MMD-Minimizing Regression for SDEs ICML 2019 Automated Negotiation with Gaussian Process-based Utility Models IJCAI 2019 Automated Rule Base Completion as Bayesian Concept Induction AAAI 2019 AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning NAACL 2019 Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era AISTATS 2019 Band-Limited Gaussian Processes: The Sinc Kernel NeurIPS 2019 Bayesian Deconditional Kernel Mean Embeddings ICML 2019 Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes ICLR 2019 Bayesian Layers: A Module for Neural Network Uncertainty NeurIPS 2019 Bayesian optimisation under uncertain inputs AISTATS 2019 Bayesian Optimization for Policy Search via Online-Offline Experimentation JMLR 2019 Bayesian Optimization Meets Bayesian Optimal Stopping ICML 2019 Bayesian Optimization Meets Riemannian Manifolds in Robot Learning CoRL 2019 Bayesian Optimization of Composite Functions ICML 2019 Bayesian Optimization under Heavy-tailed Payoffs NeurIPS 2019 Bayesian Optimization with Binary Auxiliary Information UAI 2019 Bayesian Optimization with Unknown Search Space NeurIPS 2019 Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA ICML 2019 Boosting Local Shape Matching for Dense 3D Face Correspondence CVPR 2019 CAiRE_HKUST at SemEval-2019 Task 3: Hierarchical Attention for Dialogue Emotion Classification SemEval 2019 Calibrating Deep Convolutional Gaussian Processes AISTATS 2019 ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation CVPR 2019