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Achieving interpretable machine learning by functional decomposition of black-box models into explainable predictor effects arxiv.org/abs/2407.18650 .ML .LG

Robust Maximum $L_q$-Likelihood Covariance Estimation for Replicated Spatial Data arxiv.org/abs/2407.17592 .ME .CO

Semiparametric Piecewise Accelerated Failure Time Model for the Analysis of Immune-Oncology Clinical Trials arxiv.org/abs/2407.17658 .AP .ME

Causal estimands and identification of time-varying effects in non-stationary time series from N-of-1 mobile device data arxiv.org/abs/2407.17666 .ME

Constructing Markov chains with given dependence and marginal stationary distributions arxiv.org/abs/2407.17682 .ST .TH

Doubly Robust Conditional Independence Testing with Generative Neural Networks arxiv.org/abs/2407.17694 .ME .ML

Comparison of global sensitivity analysis methods for a fire spread model with a segmented characteristic arxiv.org/abs/2407.17718 .AP

A new moment-independent uncertainty importance measure based on cumulative residual entropy for developing uncertainty reduction strategies arxiv.org/abs/2407.17719 .AP

Multi-physics Simulation Guided Generative Diffusion Models with Applications in Fluid and Heat Dynamics arxiv.org/abs/2407.17720 .comp-ph .CO

Forecasting Automotive Supply Chain Disruption with Heterogeneous Time Series arxiv.org/abs/2407.16739 .ML .LG

Real-time risk estimation for active road safety: Leveraging Waymo AV sensor data with hierarchical Bayesian extreme value models arxiv.org/abs/2407.16832 .AP

Federated Automatic Latent Variable Selection in Multi-output Gaussian Processes arxiv.org/abs/2407.16935 .ML .LG

Provable Benefit of Annealed Langevin Monte Carlo for Non-log-concave Sampling arxiv.org/abs/2407.16936 .ML .ST .CO .TH .LG

Stochastic Variance-Reduced Iterative Hard Thresholding in Graph Sparsity Optimization arxiv.org/abs/2407.16968 .ML .AI .LG

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