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Complementary Composite Minimization, Small Gradients in General Norms, and Applications to Regression Problems. (arXiv:2101.11041v1 [math.OC]) arxiv.org/abs/2101.11041

Generalized Doubly Reparameterized Gradient Estimators. (arXiv:2101.11046v1 [stat.ML]) arxiv.org/abs/2101.11046

Large-scale Optimization with Linear Equality Constraints using Reduced Compact Representation. (arXiv:2101.11048v1 [math.OC]) arxiv.org/abs/2101.11048

LDLE: Low Distortion Local Eigenmaps. (arXiv:2101.11055v1 [math.SP]) arxiv.org/abs/2101.11055

The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors. (arXiv:2101.11071v1 [cs.LG]) arxiv.org/abs/2101.11071

Tree boosting for learning probability measures. (arXiv:2101.11083v1 [stat.ME]) arxiv.org/abs/2101.11083

A general method for power analysis in testing high dimensional covariance matrices. (arXiv:2101.11086v1 [math.ST]) arxiv.org/abs/2101.11086

Real-Time Fixed-Target Statistical Prediction of Arctic Sea Ice Extent. (arXiv:2101.10359v1 [econ.EM]) arxiv.org/abs/2101.10359

A Joint Learning and Communication Framework for Multi-Agent Reinforcement Learning over Noisy Channels. (arXiv:2101.10369v1 [eess.SP]) arxiv.org/abs/2101.10369

Identifying Interpretable Discrete Latent Structures from Discrete Data. (arXiv:2101.10373v1 [stat.ME]) arxiv.org/abs/2101.10373

A nowcasting approach to generate timely estimates of Mexican economic activity: An application to the period of COVID-19. (arXiv:2101.10383v1 [stat.AP]) arxiv.org/abs/2101.10383

Spectrum Attention Mechanism for Time Series Classification. (arXiv:2101.10420v1 [cs.LG]) arxiv.org/abs/2101.10420

Finding hidden-feature depending laws inside a data set and classifying it using Neural Network. (arXiv:2101.10427v1 [cs.LG]) arxiv.org/abs/2101.10427

A regression framework for a probabilistic measure of cost-effectiveness. (arXiv:2101.10466v1 [stat.ME]) arxiv.org/abs/2101.10466

Testing Rank of Incomplete Unimodal Matrices. (arXiv:2101.10515v1 [stat.AP]) arxiv.org/abs/2101.10515

Iterative Weak Learnability and Multi-Class AdaBoost. (arXiv:2101.10542v1 [stat.ML]) arxiv.org/abs/2101.10542

On the connection between orthant probabilities and the first passage time problem. (arXiv:2101.10583v1 [stat.CO]) arxiv.org/abs/2101.10583

Addressing Spatially Structured Interference in Causal Analysis Using Propensity Scores. (arXiv:2101.09297v1 [stat.AP]) arxiv.org/abs/2101.09297

Revisiting Identifying Assumptions for Population Size Estimation. (arXiv:2101.09304v1 [stat.ME]) arxiv.org/abs/2101.09304

Tighter expected generalization error bounds via Wasserstein distance. (arXiv:2101.09315v1 [stat.ML]) arxiv.org/abs/2101.09315

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