Paper-Conference

Deep Gaussian Processes with Importance-Weighted Variational Inference
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Exploiting Synthetically Generated Data with Semi-Supervised Learning for Small and Imbalanced Datasets
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Fast Decomposable Submodular Function Minimization using Constrained Total Variation
We consider the problem of minimizing the sum of submodular set functions assuming minimization oracles of each summand function. Most …
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Towards an Integrative Educational Recommender for Lifelong Learners
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Visibility Metric for Visually Lossless Image Compression
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A mixture of experts model for predicting persistent weather patterns
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Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control
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Design of Experiments for Model Discrimination Hybridising Analytical and Data-Driven Approaches
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Gaussian Process Conditional Density Estimation
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Maximizing Acquisition Functions for Bayesian Optimization
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