Data-Driven Model For Heat Load Prediction In Buildings Connected To District Heating Networks. (arXiv:2309.11504v1 [stat.AP]) http://arxiv.org/abs/2309.11504
Modeling and indexing the drought severity by augmenting SPI metric system to incorporate multi-modal ground temperature data. (arXiv:2309.11505v1 [stat.AP]) http://arxiv.org/abs/2309.11505
Using causal inference to avoid fallouts in data-driven parametric analysis: a case study in the architecture, engineering, and construction industry. (arXiv:2309.11509v1 [cs.CE]) http://arxiv.org/abs/2309.11509
Multidimensional well-being of US households at a fine spatial scale using fused household surveys: fusionACS. (arXiv:2309.11512v1 [stat.AP]) http://arxiv.org/abs/2309.11512
TrueLearn: A Python Library for Personalised Informational Recommendations with (Implicit) Feedback. (arXiv:2309.11527v1 [cs.IR]) http://arxiv.org/abs/2309.11527
Statistical Complexity of Quantum Learning. (arXiv:2309.11617v1 [quant-ph]) http://arxiv.org/abs/2309.11617
A Spike-and-Slab Prior for Dimension Selection in Generalized Linear Network Eigenmodels. (arXiv:2309.11654v1 [stat.ME]) http://arxiv.org/abs/2309.11654
GLM Regression with Oblivious Corruptions. (arXiv:2309.11657v1 [cs.DS]) http://arxiv.org/abs/2309.11657
Dr. FERMI: A Stochastic Distributionally Robust Fair Empirical Risk Minimization Framework. (arXiv:2309.11682v1 [cs.LG]) http://arxiv.org/abs/2309.11682
Quasi-Monte Carlo for 3D Sliced Wasserstein. (arXiv:2309.11713v1 [stat.ML]) http://arxiv.org/abs/2309.11713
A dynamic mean-field statistical model of academic collaboration. (arXiv:2309.10864v1 [stat.ME]) http://arxiv.org/abs/2309.10864
A Novel Gradient Methodology with Economical Objective Function Evaluations for Data Science Applications. (arXiv:2309.10894v1 [math.OC]) http://arxiv.org/abs/2309.10894
Posterior Contraction Rates for Mat\'ern Gaussian Processes on Riemannian Manifolds. (arXiv:2309.10918v1 [stat.ML]) http://arxiv.org/abs/2309.10918
DPpack: An R Package for Differentially Private Statistical Analysis and Machine Learning. (arXiv:2309.10965v1 [stat.ML]) http://arxiv.org/abs/2309.10965
SPFQ: A Stochastic Algorithm and Its Error Analysis for Neural Network Quantization. (arXiv:2309.10975v1 [cs.LG]) http://arxiv.org/abs/2309.10975
PAGER: A Framework for Failure Analysis of Deep Regression Models. (arXiv:2309.10977v1 [cs.LG]) http://arxiv.org/abs/2309.10977
Confounding by Scarcity: An Overlooked Source of Bias in Pragma@c Trials. (arXiv:2309.10978v1 [stat.ME]) http://arxiv.org/abs/2309.10978
The Topology and Geometry of Neural Representations. (arXiv:2309.11028v1 [q-bio.NC]) http://arxiv.org/abs/2309.11028
Fake News BR: A Fake News Detection Platform for Brazilian Portuguese. (arXiv:2309.11052v1 [cs.CL]) http://arxiv.org/abs/2309.11052
Extreme Scenario Selection in Day-Ahead Power Grid Operational Planning. (arXiv:2309.11067v1 [stat.ML]) http://arxiv.org/abs/2309.11067
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