Global sensitivity analysis of (a)symmetric energy harvesters. (arXiv:2107.04647v1 [eess.SY]) http://arxiv.org/abs/2107.04647
Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization. (arXiv:2107.04649v1 [cs.LG]) http://arxiv.org/abs/2107.04649
The Effects of Invertibility on the Representational Complexity of Encoders in Variational Autoencoders. (arXiv:2107.04652v1 [cs.LG]) http://arxiv.org/abs/2107.04652
H\"older Bounds for Sensitivity Analysis in Causal Reasoning. (arXiv:2107.04661v1 [cs.LG]) http://arxiv.org/abs/2107.04661
Gaussian Process Subspace Regression for Model Reduction. (arXiv:2107.04668v1 [math.ST]) http://arxiv.org/abs/2107.04668
L2M: Practical posterior Laplace approximation with optimization-driven second moment estimation. (arXiv:2107.04695v1 [cs.LG]) http://arxiv.org/abs/2107.04695
Convergence Analysis of Schr{\"o}dinger-F{\"o}llmer Sampler without Convexity. (arXiv:2107.04766v1 [stat.CO]) http://arxiv.org/abs/2107.04766
Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning. (arXiv:2107.04050v1 [stat.ML]) http://arxiv.org/abs/2107.04050
Scaling Gaussian Processes with Derivative Information Using Variational Inference. (arXiv:2107.04061v1 [cs.LG]) http://arxiv.org/abs/2107.04061
Ensembles of Randomized NNs for Pattern-based Time Series Forecasting. (arXiv:2107.04091v1 [cs.LG]) http://arxiv.org/abs/2107.04091
OCDE: Odds Conditional Density Estimator. (arXiv:2107.04118v1 [stat.ME]) http://arxiv.org/abs/2107.04118
Many Objective Bayesian Optimization. (arXiv:2107.04126v1 [stat.ML]) http://arxiv.org/abs/2107.04126
Diagonal Nonlinear Transformations Preserve Structure in Covariance and Precision Matrices. (arXiv:2107.04136v1 [math.ST]) http://arxiv.org/abs/2107.04136
MCMC Variational Inference via Uncorrected Hamiltonian Annealing. (arXiv:2107.04150v1 [cs.LG]) http://arxiv.org/abs/2107.04150
On the Variance of the Fisher Information for Deep Learning. (arXiv:2107.04205v1 [cs.LG]) http://arxiv.org/abs/2107.04205
From Many to One: Consensus Inference in a MIP. (arXiv:2107.04208v1 [stat.AP]) http://arxiv.org/abs/2107.04208
Two Sample Test for Extrinsic Antimeans on Planar Kendall Shape Spaces with an Application to Medical Imaging. (arXiv:2107.04230v1 [math.ST]) http://arxiv.org/abs/2107.04230
ENNS: Variable Selection, Regression, Classification and Deep Neural Network for High-Dimensional Data. (arXiv:2107.03430v1 [stat.ME]) http://arxiv.org/abs/2107.03430
Bayesian model-based clustering for multiple network data. (arXiv:2107.03431v1 [stat.AP]) http://arxiv.org/abs/2107.03431
In-Network Learning: Distributed Training and Inference in Networks. (arXiv:2107.03433v1 [cs.LG]) http://arxiv.org/abs/2107.03433
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