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Lifted samplers for partially ordered discrete state-spaces. (arXiv:2003.05492v1 [stat.CO]) arxiv.org/abs/2003.05492

A Mean-field Analysis of Deep ResNet and Beyond: Towards Provable Optimization Via Overparameterization From Depth. (arXiv:2003.05508v1 [stat.ML]) arxiv.org/abs/2003.05508

Optimal dose calibration in radiotherapy. (arXiv:2003.05510v1 [stat.AP]) arxiv.org/abs/2003.05510

Memory-efficient Learning for Large-scale Computational Imaging. (arXiv:2003.05551v1 [cs.CV]) arxiv.org/abs/2003.05551

General linear-time inference for Gaussian Processes on one dimension. (arXiv:2003.05554v1 [stat.ML]) arxiv.org/abs/2003.05554

Model-Free Algorithm and Regret Analysis for MDPs with Peak Constraints. (arXiv:2003.05555v1 [math.OC]) arxiv.org/abs/2003.05555

Dynamic Tensor Recommender Systems. (arXiv:2003.05568v1 [stat.ME]) arxiv.org/abs/2003.05568

Unbiased Estimation of the Gradient of the Log-Likelihood in Inverse Problems. (arXiv:2003.04896v1 [stat.ME]) arxiv.org/abs/2003.04896

Integrating Physics-Based Modeling with Machine Learning: A Survey. (arXiv:2003.04919v1 [physics.comp-ph]) arxiv.org/abs/2003.04919

Analysis and applications of the residual varentropy of random lifetimes. (arXiv:2003.04932v1 [math.ST]) arxiv.org/abs/2003.04932

Error Estimation for Sketched SVD via the Bootstrap. (arXiv:2003.04937v1 [stat.ML]) arxiv.org/abs/2003.04937

Towards Clarifying the Theory of the Deconfounder. (arXiv:2003.04948v1 [stat.ML]) arxiv.org/abs/2003.04948

Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey. (arXiv:2003.04960v1 [cs.LG]) arxiv.org/abs/2003.04960

Individual-Level Modelling of Infectious Disease Data: EpiILM. (arXiv:2003.04963v1 [stat.AP]) arxiv.org/abs/2003.04963

Aspect Term Extraction using Graph-based Semi-Supervised Learning. (arXiv:2003.04968v1 [cs.CL]) arxiv.org/abs/2003.04968

A Comparative Study of Sequence Classification Models for Privacy Policy Coverage Analysis. (arXiv:2003.04972v1 [cs.CL]) arxiv.org/abs/2003.04972

Advancing Renewable Electricity Consumption With Reinforcement Learning. (arXiv:2003.04310v1 [eess.SP]) arxiv.org/abs/2003.04310

Strong mixing condition for Hawkes processes and application to Whittle estimation from count data. (arXiv:2003.04314v1 [math.ST]) arxiv.org/abs/2003.04314

Explanation-Based Tuning of Opaque Machine Learners with Application to Paper Recommendation. (arXiv:2003.04315v1 [cs.IR]) arxiv.org/abs/2003.04315

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