A Joint Learning and Communication Framework for Multi-Agent Reinforcement Learning over Noisy Channels. (arXiv:2101.10369v1 [eess.SP]) http://arxiv.org/abs/2101.10369
Identifying Interpretable Discrete Latent Structures from Discrete Data. (arXiv:2101.10373v1 [stat.ME]) http://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]) http://arxiv.org/abs/2101.10383
Spectrum Attention Mechanism for Time Series Classification. (arXiv:2101.10420v1 [cs.LG]) http://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]) http://arxiv.org/abs/2101.10427
A regression framework for a probabilistic measure of cost-effectiveness. (arXiv:2101.10466v1 [stat.ME]) http://arxiv.org/abs/2101.10466
Testing Rank of Incomplete Unimodal Matrices. (arXiv:2101.10515v1 [stat.AP]) http://arxiv.org/abs/2101.10515
Iterative Weak Learnability and Multi-Class AdaBoost. (arXiv:2101.10542v1 [stat.ML]) http://arxiv.org/abs/2101.10542
On the connection between orthant probabilities and the first passage time problem. (arXiv:2101.10583v1 [stat.CO]) http://arxiv.org/abs/2101.10583
Addressing Spatially Structured Interference in Causal Analysis Using Propensity Scores. (arXiv:2101.09297v1 [stat.AP]) http://arxiv.org/abs/2101.09297
Revisiting Identifying Assumptions for Population Size Estimation. (arXiv:2101.09304v1 [stat.ME]) http://arxiv.org/abs/2101.09304
Tighter expected generalization error bounds via Wasserstein distance. (arXiv:2101.09315v1 [stat.ML]) http://arxiv.org/abs/2101.09315
Hourly evolution of intra-urban temperature variability across the local climate zones. The case of Madrid. (arXiv:2101.09351v1 [physics.ao-ph]) http://arxiv.org/abs/2101.09351
Conex-Connect: Learning Patterns in Extremal Brain Connectivity From Multi-Channel EEG Data. (arXiv:2101.09352v1 [q-bio.NC]) http://arxiv.org/abs/2101.09352
A measure of the importance of roads based on topography and traffic intensity. (arXiv:2101.09382v1 [math.OC]) http://arxiv.org/abs/2101.09382
Predicting Recession Probabilities Using Term Spreads: New Evidence from a Machine Learning Approach. (arXiv:2101.09394v1 [econ.EM]) http://arxiv.org/abs/2101.09394
Unraveling S&P500 stock volatility and networks -- An encoding and decoding approach. (arXiv:2101.09395v1 [q-fin.ST]) http://arxiv.org/abs/2101.09395
A Design-Based Perspective on Synthetic Control Methods. (arXiv:2101.09398v1 [econ.EM]) http://arxiv.org/abs/2101.09398
A Geospatial Functional Model For OCO-2 Data with Application on Imputation and Land Fraction Estimation. (arXiv:2101.09418v1 [stat.AP]) http://arxiv.org/abs/2101.09418
Automating LC-MS/MS mass chromatogram quantification. Wavelet transform based peak detection and automated estimation of peak boundaries and signal-to-noise ratio using signal processing methods. (arXiv:2101.08841v1 [q-bio.QM]) http://arxiv.org/abs/2101.08841
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