The Relative Value of Prediction in Algorithmic Decision Making. (arXiv:2312.08511v1 [cs.CY]) http://arxiv.org/abs/2312.08511
Using Model-Assisted Calibration Methods to Improve Efficiency of Regression Analyses with Two-Phase Samples under Complex Survey Designs. (arXiv:2312.08530v1 [stat.ME]) http://arxiv.org/abs/2312.08530
Revisiting the Last-Iterate Convergence of Stochastic Gradient Methods. (arXiv:2312.08531v1 [cs.LG]) http://arxiv.org/abs/2312.08531
Fair Active Learning in Low-Data Regimes. (arXiv:2312.08559v1 [cs.LG]) http://arxiv.org/abs/2312.08559
Differential Equation Approximations for Population Games using Elementary Probability. (arXiv:2312.07598v1 [cs.GT]) http://arxiv.org/abs/2312.07598
Interpretational errors in statistical causal inference. (arXiv:2312.07610v1 [stat.ME]) http://arxiv.org/abs/2312.07610
Evaluating the Alignment of a Data Analysis between Analyst and Audience. (arXiv:2312.07616v1 [stat.ME]) http://arxiv.org/abs/2312.07616
Estimating Causal Impacts of Scaling a Voluntary Policy Intervention. (arXiv:2312.07619v1 [stat.ME]) http://arxiv.org/abs/2312.07619
Go beyond End-to-End Training: Boosting Greedy Local Learning with Context Supply. (arXiv:2312.07636v1 [cs.LG]) http://arxiv.org/abs/2312.07636
Bayesian Online Learning for Consensus Prediction. (arXiv:2312.07679v1 [cs.LG]) http://arxiv.org/abs/2312.07679
On Rosenbaum's Rank-based Matching Estimator. (arXiv:2312.07683v1 [math.ST]) http://arxiv.org/abs/2312.07683
GP+: A Python Library for Kernel-based learning via Gaussian Processes. (arXiv:2312.07694v1 [cs.LG]) http://arxiv.org/abs/2312.07694
A Class of Computational Methods to Reduce Selection Bias when Designing Phase 3 Clinical Trials. (arXiv:2312.07697v1 [stat.ME]) http://arxiv.org/abs/2312.07697
Distribution of the elemental regression weights with t-distributed co-variate measurement errors. (arXiv:2312.07704v1 [math.ST]) http://arxiv.org/abs/2312.07704
An Association Test Based on Kernel-Based Neural Networks for Complex Genetic Association Analysis. (arXiv:2312.06669v1 [q-bio.QM]) http://arxiv.org/abs/2312.06669
Extracting Self-Consistent Causal Insights from Users Feedback with LLMs and In-context Learning. (arXiv:2312.06820v1 [cs.AI]) http://arxiv.org/abs/2312.06820
Resetting a fixed broken ELBO. (arXiv:2312.06828v1 [stat.ML]) http://arxiv.org/abs/2312.06828
Adaptive Experiments Toward Learning Treatment Effect Heterogeneity. (arXiv:2312.06883v1 [stat.ME]) http://arxiv.org/abs/2312.06883
An $LDL^T$ Trust-Region Quasi-Newton Method. (arXiv:2312.06884v1 [math.OC]) http://arxiv.org/abs/2312.06884
Can a Transformer Represent a Kalman Filter?. (arXiv:2312.06937v1 [cs.LG]) http://arxiv.org/abs/2312.06937
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