A new Input Convex Neural Network with application to options pricing https://arxiv.org/abs/2411.12854 #stat.ML #cs.LG
Modelling Directed Networks with Reciprocity https://arxiv.org/abs/2411.12871 #stat.ME
Local Anti-Concentration Class: Logarithmic Regret for Greedy Linear Contextual Bandit https://arxiv.org/abs/2411.12878 #stat.ML #cs.LG
Goodness-of-fit tests for generalized Poisson distributions https://arxiv.org/abs/2411.12889 #stat.ME
Statistical inference for mean-field queueing systems https://arxiv.org/abs/2411.12936 #math.ST #math.PR #stat.TH
Probability distributions and calculations for Hake's ratio statistics in measuring effect size https://arxiv.org/abs/2411.12938 #physics.data-an #stat.CO
From Estimands to Robust Inference of Treatment Effects in Platform Trials https://arxiv.org/abs/2411.12944 #stat.ME
The occlusion process: improving sampler performance with parallel computation and variational approximation https://arxiv.org/abs/2411.11983 #stat.CO
US COVID-19 school closure was not cost-effective, but other measures were https://arxiv.org/abs/2411.12016 #stat.AP
On the Efficiency of ERM in Feature Learning https://arxiv.org/abs/2411.12029 #stat.ML #math.ST #stat.TH #cs.LG
Prediction-Guided Active Experiments https://arxiv.org/abs/2411.12036 #stat.ML #econ.EM #cs.LG
A Comparison of Zero-Inflated Models for Modern Biomedical Data https://arxiv.org/abs/2411.12086 #stat.ME #stat.AP
Asymptotics in Multiple Hypotheses Testing under Dependence: beyond Normality https://arxiv.org/abs/2411.12119 #math.ST #stat.ME #stat.TH
Exact Risk Curves of signSGD in High-Dimensions: Quantifying Preconditioning and Noise-Compression Effects https://arxiv.org/abs/2411.12135 #stat.ML #cs.LG
Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds https://arxiv.org/abs/2411.12154 #stat.ML #eess.SY #cs.LG #cs.SY
Efficient inference for differential equation models without numerical solvers https://arxiv.org/abs/2411.10494 #stat.ME
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