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Machine Learning meets Number Theory: The Data Science of Birch-Swinnerton-Dyer. (arXiv:1911.02008v1 [math.NT]) arxiv.org/abs/1911.02008

A Fourier Analytical Approach to Estimation of Smooth Functions in Gaussian Shift Model. (arXiv:1911.02010v1 [math.ST]) arxiv.org/abs/1911.02010

Scribble-based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation. (arXiv:1911.02014v1 [eess.IV]) arxiv.org/abs/1911.02014

Bias-aware model selection for machine learning of doubly robust functionals. (arXiv:1911.02029v1 [stat.ME]) arxiv.org/abs/1911.02029

Efficiently Learning Structured Distributions from Untrusted Batches. (arXiv:1911.02035v1 [cs.DS]) arxiv.org/abs/1911.02035

Why X rather than Y? Explaining Neural Model' Predictions by Generating Intervention Counterfactual Samples. (arXiv:1911.02042v1 [cs.LG]) arxiv.org/abs/1911.02042

Guided Layer-wise Learning for Deep Models using Side Information. (arXiv:1911.02048v1 [cs.LG]) arxiv.org/abs/1911.02048

A Method to Model Conditional Distributions with Normalizing Flows. (arXiv:1911.02052v1 [cs.LG]) arxiv.org/abs/1911.02052

Alleviating Label Switching with Optimal Transport. (arXiv:1911.02053v1 [cs.LG]) arxiv.org/abs/1911.02053

On Solving the 2-Dimensional Greedy Shooter Problem for UAVs. (arXiv:1911.01419v1 [cs.RO]) arxiv.org/abs/1911.01419

Improved BiGAN training with marginal likelihood equalization. (arXiv:1911.01425v1 [stat.ML]) arxiv.org/abs/1911.01425

The frontier of simulation-based inference. (arXiv:1911.01429v1 [stat.ML]) arxiv.org/abs/1911.01429

Dual-domain Cascade of U-nets for Multi-channel Magnetic Resonance Image Reconstruction. (arXiv:1911.01458v1 [eess.IV]) arxiv.org/abs/1911.01458

Time/Accuracy Tradeoffs for Learning a ReLU with respect to Gaussian Marginals. (arXiv:1911.01462v1 [cs.LG]) arxiv.org/abs/1911.01462

Auditing and Achieving Intersectional Fairness in Classification Problems. (arXiv:1911.01468v1 [cs.LG]) arxiv.org/abs/1911.01468

Proximal Langevin Algorithm: Rapid Convergence Under Isoperimetry. (arXiv:1911.01469v1 [stat.ML]) arxiv.org/abs/1911.01469

Statistical Inference for Model Parameters in Stochastic Gradient Descent via Batch Means. (arXiv:1911.01483v1 [stat.ML]) arxiv.org/abs/1911.01483

Improving Supervised Phase Identification Through the Theory of Information Losses. (arXiv:1911.01484v1 [cs.LG]) arxiv.org/abs/1911.01484

Assessing Social and Intersectional Biases in Contextualized Word Representations. (arXiv:1911.01485v1 [cs.CL]) arxiv.org/abs/1911.01485

Review: Ordinary Differential Equations For Deep Learning. (arXiv:1911.00502v1 [cs.LG]) arxiv.org/abs/1911.00502

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