Machine Learning meets Number Theory: The Data Science of Birch-Swinnerton-Dyer. (arXiv:1911.02008v1 [math.NT]) http://arxiv.org/abs/1911.02008
A Fourier Analytical Approach to Estimation of Smooth Functions in Gaussian Shift Model. (arXiv:1911.02010v1 [math.ST]) http://arxiv.org/abs/1911.02010
Scribble-based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation. (arXiv:1911.02014v1 [eess.IV]) http://arxiv.org/abs/1911.02014
Bias-aware model selection for machine learning of doubly robust functionals. (arXiv:1911.02029v1 [stat.ME]) http://arxiv.org/abs/1911.02029
Efficiently Learning Structured Distributions from Untrusted Batches. (arXiv:1911.02035v1 [cs.DS]) http://arxiv.org/abs/1911.02035
Why X rather than Y? Explaining Neural Model' Predictions by Generating Intervention Counterfactual Samples. (arXiv:1911.02042v1 [cs.LG]) http://arxiv.org/abs/1911.02042
Guided Layer-wise Learning for Deep Models using Side Information. (arXiv:1911.02048v1 [cs.LG]) http://arxiv.org/abs/1911.02048
A Method to Model Conditional Distributions with Normalizing Flows. (arXiv:1911.02052v1 [cs.LG]) http://arxiv.org/abs/1911.02052
Alleviating Label Switching with Optimal Transport. (arXiv:1911.02053v1 [cs.LG]) http://arxiv.org/abs/1911.02053
On Solving the 2-Dimensional Greedy Shooter Problem for UAVs. (arXiv:1911.01419v1 [cs.RO]) http://arxiv.org/abs/1911.01419
Improved BiGAN training with marginal likelihood equalization. (arXiv:1911.01425v1 [stat.ML]) http://arxiv.org/abs/1911.01425
The frontier of simulation-based inference. (arXiv:1911.01429v1 [stat.ML]) http://arxiv.org/abs/1911.01429
Dual-domain Cascade of U-nets for Multi-channel Magnetic Resonance Image Reconstruction. (arXiv:1911.01458v1 [eess.IV]) http://arxiv.org/abs/1911.01458
Time/Accuracy Tradeoffs for Learning a ReLU with respect to Gaussian Marginals. (arXiv:1911.01462v1 [cs.LG]) http://arxiv.org/abs/1911.01462
Auditing and Achieving Intersectional Fairness in Classification Problems. (arXiv:1911.01468v1 [cs.LG]) http://arxiv.org/abs/1911.01468
Proximal Langevin Algorithm: Rapid Convergence Under Isoperimetry. (arXiv:1911.01469v1 [stat.ML]) http://arxiv.org/abs/1911.01469
Statistical Inference for Model Parameters in Stochastic Gradient Descent via Batch Means. (arXiv:1911.01483v1 [stat.ML]) http://arxiv.org/abs/1911.01483
Improving Supervised Phase Identification Through the Theory of Information Losses. (arXiv:1911.01484v1 [cs.LG]) http://arxiv.org/abs/1911.01484
Assessing Social and Intersectional Biases in Contextualized Word Representations. (arXiv:1911.01485v1 [cs.CL]) http://arxiv.org/abs/1911.01485
Review: Ordinary Differential Equations For Deep Learning. (arXiv:1911.00502v1 [cs.LG]) http://arxiv.org/abs/1911.00502
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