arXiv Statistics @arxiv_stats@qoto.org

Rethinking the limiting dynamics of SGD: modified loss, phase space oscillations, and anomalous diffusion. (arXiv:2107.09133v1 [cs.LG]) http://arxiv.org/abs/2107.09133

Adaptive wavelet distillation from neural networks through interpretations. (arXiv:2107.09145v1 [stat.ML]) http://arxiv.org/abs/2107.09145

Inference for Change Points in High Dimensional Mean Shift Models. (arXiv:2107.09150v1 [stat.ME]) http://arxiv.org/abs/2107.09150

Improving exploration in policy gradient search: Application to symbolic optimization. (arXiv:2107.09158v1 [cs.LG]) http://arxiv.org/abs/2107.09158

BICNet: A Bayesian Approach for Estimating Task Effects on Intrinsic Connectivity Networks in fMRI Data. (arXiv:2107.09160v1 [stat.AP]) http://arxiv.org/abs/2107.09160

Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression. (arXiv:2107.09194v1 [stat.ML]) http://arxiv.org/abs/2107.09194

Asymptotic Escape of Spurious Critical Points on the Low-rank Matrix Manifold. (arXiv:2107.09207v1 [math.OC]) http://arxiv.org/abs/2107.09207

Moving towards practical user-friendly synthesis: Scalable synthetic data methods for large confidential administrative databases using saturated count models. (arXiv:2107.08062v1 [stat.ME]) http://arxiv.org/abs/2107.08062

Accounting for spatial confounding in epidemiological studies with individual-level exposures: An exposure-penalized spline approach. (arXiv:2107.08072v1 [stat.ME]) http://arxiv.org/abs/2107.08072

Kpop: A kernel balancing approach for reducing specification assumptions in survey weighting. (arXiv:2107.08075v1 [stat.ME]) http://arxiv.org/abs/2107.08075

Non-Parametric Manifold Learning. (arXiv:2107.08089v1 [math.ST]) http://arxiv.org/abs/2107.08089

Hamiltonian Monte Carlo for Regression with High-Dimensional Categorical Data. (arXiv:2107.08112v1 [econ.EM]) http://arxiv.org/abs/2107.08112

Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences. (arXiv:2107.08135v1 [stat.ML]) http://arxiv.org/abs/2107.08135

Markov Blanket Discovery using Minimum Message Length. (arXiv:2107.08140v1 [cs.LG]) http://arxiv.org/abs/2107.08140

Model Uncertainty and Correctability for Directed Graphical Models. (arXiv:2107.08179v1 [stat.ML]) http://arxiv.org/abs/2107.08179

Sparse Bayesian Learning with Diagonal Quasi-Newton Method For Large Scale Classification. (arXiv:2107.08195v1 [cs.LG]) http://arxiv.org/abs/2107.08195

Minimising quantifier variance under prior probability shift. (arXiv:2107.08209v1 [stat.ML]) http://arxiv.org/abs/2107.08209

Optimal Stopping Methodology for the Secretary Problem with Random Queries. (arXiv:2107.07513v1 [cs.DS]) http://arxiv.org/abs/2107.07513

Multivariate Conway-Maxwell-Poisson Distribution: Sarmanov Method and Doubly-Intractable Bayesian Inference. (arXiv:2107.07561v1 [stat.ME]) http://arxiv.org/abs/2107.07561

Optimal tests of the composite null hypothesis arising in mediation analysis. (arXiv:2107.07575v1 [math.ST]) http://arxiv.org/abs/2107.07575