A Theory of Optimistically Universal Online Learnability for General Concept Classes https://arxiv.org/abs/2501.08551 #stat.ML #cs.LG
Modeling COVID-19 spread in the USA using metapopulation SIR models coupled with graph convolutional neural networks https://arxiv.org/abs/2501.02043 #q-bio.PE #stat.ML #math.DS #cs.LG
A Mathematical Lens for Teaching Data Science https://arxiv.org/abs/2501.02126 #stat.OT
Transfer Learning for Individualized Treatment Rules: Application to Sepsis Patients Data from eICU-CRD and MIMIC-III Databases https://arxiv.org/abs/2501.02128 #stat.AP
Evaluation of the HeartSteps Online Sampling Algorithm https://arxiv.org/abs/2501.02137 #stat.AP #stat.ME
Majorization-Minimization Dual Stagewise Algorithm for Generalized Lasso https://arxiv.org/abs/2501.02197 #stat.ML #stat.CO #cs.LG
Robust Multi-Dimensional Scaling via Accelerated Alternating Projections https://arxiv.org/abs/2501.02208 #stat.ML #math.OC #cs.LG
Efficient estimation of average treatment effects with unmeasured confounding and proxies https://arxiv.org/abs/2501.02214 #stat.ME #econ.EM
MCMC Importance Sampling via Moreau-Yosida Envelopes https://arxiv.org/abs/2501.02228 #stat.CO #stat.ME
Sparsity learning via structured functional factor augmentation https://arxiv.org/abs/2501.02244 #stat.ME
Beyond Log-Concavity and Score Regularity: Improved Convergence Bounds for Score-Based Generative Models in W2-distance https://arxiv.org/abs/2501.02298 #stat.ML #cs.LG
Statistical Demography Meets Ministry of Health: The Case of the Family Planning Estimation Tool https://arxiv.org/abs/2501.00007 #stat.AP
A portmanteau test for multivariate non-stationary functional time series with an increasing number of lags https://arxiv.org/abs/2501.00118 #stat.ME
Post Launch Evaluation of Policies in a High-Dimensional Setting https://arxiv.org/abs/2501.00119 #stat.ML #stat.AP #stat.ME #cs.LG
Competitiveness of Formula 1 championship from 2012 to 2022 as measured by Kendall corrected evolutive coefficient https://arxiv.org/abs/2501.00126 #stat.AP
Denoising Data with Measurement Error Using a Reproducing Kernel-based Diffusion Model https://arxiv.org/abs/2501.00212 #stat.ME
Analyzing Scalogram Ridges in the Presence of Noise https://arxiv.org/abs/2501.00270 #math.ST #math.PR #stat.TH
Efficient Human-in-the-Loop Active Learning: A Novel Framework for Data Labeling in AI Systems https://arxiv.org/abs/2501.00277 #stat.ML #cs.AI #cs.HC #cs.LG
Tensor Topic Modeling Via HOSVD https://arxiv.org/abs/2501.00535 #math.ST #stat.AP #stat.TH
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