Robust posterior inference when statistically emulating forward simulations. (arXiv:2004.11929v1 [astro-ph.IM]) http://arxiv.org/abs/2004.11929
Explainable Unsupervised Change-point Detection via Graph Neural Networks. (arXiv:2004.11934v1 [cs.LG]) http://arxiv.org/abs/2004.11934
The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget. (arXiv:2004.11935v1 [stat.ML]) http://arxiv.org/abs/2004.11935
Computation on Sparse Neural Networks: an Inspiration for Future Hardware. (arXiv:2004.11946v1 [cs.LG]) http://arxiv.org/abs/2004.11946
Symbolic Regression Driven by Training Data and Prior Knowledge. (arXiv:2004.11947v1 [cs.LG]) http://arxiv.org/abs/2004.11947
The What, When and Where of Limit Order Books. (arXiv:2004.11953v1 [q-fin.TR]) http://arxiv.org/abs/2004.11953
Fast Thompson Sampling Algorithm with Cumulative Oversampling: Application to Budgeted Influence Maximization. (arXiv:2004.11963v1 [cs.LG]) http://arxiv.org/abs/2004.11963
Neural Network Laundering: Removing Black-Box Backdoor Watermarks from Deep Neural Networks. (arXiv:2004.11368v1 [cs.CR]) http://arxiv.org/abs/2004.11368
Investigating similarities and differences between South African and Sierra Leonean school outcomes using Machine Learning. (arXiv:2004.11369v1 [cs.CY]) http://arxiv.org/abs/2004.11369
Live Trojan Attacks on Deep Neural Networks. (arXiv:2004.11370v1 [cs.CR]) http://arxiv.org/abs/2004.11370
Learning to Forecast and Forecasting to Learn from the COVID-19 Pandemic. (arXiv:2004.11372v1 [q-bio.PE]) http://arxiv.org/abs/2004.11372
Point Location and Active Learning: Learning Halfspaces Almost Optimally. (arXiv:2004.11380v1 [cs.CG]) http://arxiv.org/abs/2004.11380
Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming. (arXiv:2004.11408v1 [stat.CO]) http://arxiv.org/abs/2004.11408
Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning. (arXiv:2004.11410v1 [cs.LG]) http://arxiv.org/abs/2004.11410
Investigating the Relationship between Freeway Rear-end Crash Rates and Macroscopically Modelled Reaction Time. (arXiv:2004.11422v1 [physics.soc-ph]) http://arxiv.org/abs/2004.11422
Efficient Neural Architecture for Text-to-Image Synthesis. (arXiv:2004.11437v1 [cs.LG]) http://arxiv.org/abs/2004.11437
Development of a Machine Learning Model and Mobile Application to Aid in Predicting Dosage of Vitamin K Antagonists Among Indian Patients. (arXiv:2004.11460v1 [q-bio.QM]) http://arxiv.org/abs/2004.11460
Fast Quantum Algorithm for Learning with Optimized Random Features. (arXiv:2004.10756v1 [quant-ph]) http://arxiv.org/abs/2004.10756
Bayesian nonparametric modeling for predicting dynamic dependencies in multiple object tracking. (arXiv:2004.10798v1 [cs.LG]) http://arxiv.org/abs/2004.10798
A Neural Scaling Law from the Dimension of the Data Manifold. (arXiv:2004.10802v1 [cs.LG]) http://arxiv.org/abs/2004.10802
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