gaussian process

Gaussian Process Neural Networks for Speech Recognition Interspeech 2018 Gaussian Process Prior Variational Autoencoders NeurIPS 2018 Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data AISTATS 2018 Global SNR Estimation of Speech Signals Using Entropy and Uncertainty Estimates from Dropout Networks Interspeech 2018 GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration NeurIPS 2018 Heterogeneous Multi-output Gaussian Process Prediction NeurIPS 2018 How Deep Are Deep Gaussian Processes? JMLR 2018 Human Motion Generation via Cross-Space Constrained Sampling IJCAI 2018 Inference via Low-Dimensional Couplings JMLR 2018 Inferring Latent Velocities from Weather Radar Data using Gaussian Processes NeurIPS 2018 Infinite-Horizon Gaussian Processes NeurIPS 2018 Large-Scale Cox Process Inference using Variational Fourier Features ICML 2018 Learning a latent manifold of odor representations from neural responses in piriform cortex NeurIPS 2018 Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds NeurIPS 2018 Learning Invariances using the Marginal Likelihood NeurIPS 2018 Learning unknown ODE models with Gaussian processes ICML 2018 Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm Design ICML 2018 Markov Modulated Gaussian Cox Processes for Semi-Stationary Intensity Modeling of Events Data ICML 2018 Multi-Task Learning by Maximizing Statistical Dependence CVPR 2018 Natural Gradients in Practice: Non-Conjugate Variational Inference in Gaussian Process Models AISTATS 2018 Neural Architecture Search with Bayesian Optimisation and Optimal Transport NeurIPS 2018 Neural Tangent Kernel: Convergence and Generalization in Neural Networks NeurIPS 2018 Nonrigid Points Alignment with Soft-weighted Selection IJCAI 2018 Orthogonally Decoupled Variational Gaussian Processes NeurIPS 2018 Practical Bayesian optimization in the presence of outliers AISTATS 2018