gaussian process

Stochastic Gradient Descent in Correlated Settings: A Study on Gaussian Processes NeurIPS 2020 Stochastic Variational Inference for Dynamic Correlated Topic Models UAI 2020 Streaming Nonlinear Bayesian Tensor Decomposition UAI 2020 Structured Variational Inference in Partially Observable Unstable Gaussian Process State Space Models L4DC 2020 Syn2Real Transfer Learning for Image Deraining Using Gaussian Processes CVPR 2020 Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters NeurIPS 2020 Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes NeurIPS 2020 The Kalai-Smorodinsky solution for many-objective Bayesian optimization JMLR 2020 Time-Bounded Mission Planning in Time-Varying Domains with Semi-MDPs and Gaussian Processes CoRL 2020 Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization AAAI 2020 Uncertainty Aware Graph Gaussian Process for Semi-Supervised Learning AAAI 2020 Universal Adversarial Attacks on Spoken Language Assessment Systems Interspeech 2020 Unsupervised Deep Shape Descriptor With Point Distribution Learning CVPR 2020 Variational Bayesian Monte Carlo with Noisy Likelihoods NeurIPS 2020 Variational Inference for Sparse Gaussian Process Modulated Hawkes Process AAAI 2020 Video Instance Segmentation Tracking With a Modified VAE Architecture CVPR 2020 When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes NeurIPS 2020 Why bigger is not always better: on finite and infinite neural networks ICML 2020 Wide Neural Networks with Bottlenecks are Deep Gaussian Processes JMLR 2020 Zeroth Order Non-convex optimization with Dueling-Choice Bandits UAI 2020 A Bayesian Optimization Framework for Neural Network Compression ICCV 2019 A Bayesian Perspective on the Deep Image Prior CVPR 2019 Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models AISTATS 2019 A Framework for Bayesian Optimization in Embedded Subspaces ICML 2019 A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes AISTATS 2019