How Large is too Large? A Review of the Issues related to Sample Size Requirements of Regional Household Travel Surveys with a Case Study on the Greater Toronto and Hamilton Area (GTHA). (arXiv:2005.00563v1 [stat.AP]) http://arxiv.org/abs/2005.00563
Response-adaptive randomization in clinical trials: from myths to practical considerations. (arXiv:2005.00564v1 [stat.ME]) http://arxiv.org/abs/2005.00564
Adversarial domain adaptation to reduce sample bias of a high energy physics classifier. (arXiv:2005.00568v1 [stat.ML]) http://arxiv.org/abs/2005.00568
When Ensembling Smaller Models is More Efficient than Single Large Models. (arXiv:2005.00570v1 [cs.LG]) http://arxiv.org/abs/2005.00570
Improving Robustness via Risk Averse Distributional Reinforcement Learning. (arXiv:2005.00585v1 [cs.LG]) http://arxiv.org/abs/2005.00585
Integrated Time Series Summarization and Prediction Algorithm and its Application to COVID-19 Data Mining. (arXiv:2005.00592v1 [stat.AP]) http://arxiv.org/abs/2005.00592
Learning from Noisy Labels with Noise Modeling Network. (arXiv:2005.00596v1 [cs.CV]) http://arxiv.org/abs/2005.00596
Simultaneous Non-Gaussian Component Analysis (SING) for Data Integration in Neuroimaging. (arXiv:2005.00597v1 [stat.ME]) http://arxiv.org/abs/2005.00597
Rejoinder for the discussion of the paper "A novel algorithmic approach to Bayesian Logic Regression". (arXiv:2005.00605v1 [stat.ME]) http://arxiv.org/abs/2005.00605
A Primer on Private Statistics. (arXiv:2005.00010v1 [stat.ML]) http://arxiv.org/abs/2005.00010
Bayesian Characterizations of Properties of Stochastic Processes with Applications. (arXiv:2005.00035v1 [math.ST]) http://arxiv.org/abs/2005.00035
Group Decisions based on Confidence Weighted Majority Voting. (arXiv:2005.00039v1 [stat.AP]) http://arxiv.org/abs/2005.00039
APo-VAE: Text Generation in Hyperbolic Space. (arXiv:2005.00054v1 [cs.LG]) http://arxiv.org/abs/2005.00054
Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness. (arXiv:2005.00060v1 [cs.LG]) http://arxiv.org/abs/2005.00060
Data-Space Inversion Using a Recurrent Autoencoder for Time-Series Parameterization. (arXiv:2005.00061v1 [stat.ML]) http://arxiv.org/abs/2005.00061
Generative Adversarial Networks (GANs): Challenges, Solutions, and Future Directions. (arXiv:2005.00065v1 [cs.LG]) http://arxiv.org/abs/2005.00065
High-dimensional Asymptotic Theory of Bayesian Multiple Testing Procedures Under General Dependent Setup and Possible Misspecification. (arXiv:2005.00066v1 [math.ST]) http://arxiv.org/abs/2005.00066
Two Burning Questions on COVID-19: Did shutting down the economy help? Can we (partially) reopen the economy without risking the second wave?. (arXiv:2005.00072v1 [econ.EM]) http://arxiv.org/abs/2005.00072
Activity Detection from Wearable Electromyogram Sensors using Hidden Markov Model. (arXiv:2005.00107v1 [eess.SP]) http://arxiv.org/abs/2005.00107
Impacts of California Proposition 47 on Crime in Santa Monica, CA. (arXiv:2004.14423v1 [stat.AP]) http://arxiv.org/abs/2004.14423
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