A Scrambled Method of Moments. (arXiv:1911.09128v1 [econ.EM]) http://arxiv.org/abs/1911.09128
DPM: A deep learning PDE augmentation method (with application to large-eddy simulation). (arXiv:1911.09145v1 [cs.LG]) http://arxiv.org/abs/1911.09145
Random Fourier Features via Fast Surrogate Leverage Weighted Sampling. (arXiv:1911.09158v1 [cs.LG]) http://arxiv.org/abs/1911.09158
Bayesian optimization with local search. (arXiv:1911.09159v1 [stat.ML]) http://arxiv.org/abs/1911.09159
Deep Active Learning: Unified and Principled Method for Query and Training. (arXiv:1911.09162v1 [cs.LG]) http://arxiv.org/abs/1911.09162
Instrumental Variables: to Strengthen or not to Strengthen?. (arXiv:1911.09171v1 [stat.ME]) http://arxiv.org/abs/1911.09171
Autoregressive Modeling of Forest Dynamics. (arXiv:1911.09182v1 [q-bio.QM]) http://arxiv.org/abs/1911.09182
Examining the impact of data quality and completeness of electronic health records on predictions of patients risks of cardiovascular disease. (arXiv:1911.08504v1 [stat.AP]) http://arxiv.org/abs/1911.08504
Gromov-Wasserstein Factorization Models for Graph Clustering. (arXiv:1911.08530v1 [cs.LG]) http://arxiv.org/abs/1911.08530
A Framework for Challenge Design: Insight and Deployment Challenges to Address Medical Image Analysis Problems. (arXiv:1911.08531v1 [stat.AP]) http://arxiv.org/abs/1911.08531
Robust Learning of Discrete Distributions from Batches. (arXiv:1911.08532v1 [cs.LG]) http://arxiv.org/abs/1911.08532
Heterogeneous Deep Graph Infomax. (arXiv:1911.08538v1 [cs.LG]) http://arxiv.org/abs/1911.08538
Prediction Focused Topic Models for Electronic Health Records. (arXiv:1911.08551v1 [cs.LG]) http://arxiv.org/abs/1911.08551
Towards Reducing Bias in Gender Classification. (arXiv:1911.08556v1 [cs.LG]) http://arxiv.org/abs/1911.08556
Multi-domain Conversation Quality Evaluation via User Satisfaction Estimation. (arXiv:1911.08567v1 [cs.LG]) http://arxiv.org/abs/1911.08567
Representation Learning with Multisets. (arXiv:1911.08577v1 [cs.LG]) http://arxiv.org/abs/1911.08577
A Configuration-Space Decomposition Scheme for Learning-based Collision Checking. (arXiv:1911.08581v1 [cs.RO]) http://arxiv.org/abs/1911.08581
Exploiting Human Social Cognition for the Detection of Fake and Fraudulent Faces via Memory Networks. (arXiv:1911.07844v1 [cs.CV]) http://arxiv.org/abs/1911.07844
Neural Forest Learning. (arXiv:1911.07845v1 [cs.LG]) http://arxiv.org/abs/1911.07845
Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring In Data. (arXiv:1911.07849v1 [cs.CV]) http://arxiv.org/abs/1911.07849
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