arXiv Statistics @arxiv_stats@qoto.org

On an Asymptotic Distribution for the MLE. (arXiv:2106.06597v1 [math.ST]) http://arxiv.org/abs/2106.06597

Inference for treatment-specific survival curves using machine learning. (arXiv:2106.06602v1 [stat.ME]) http://arxiv.org/abs/2106.06602

Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization. (arXiv:2106.06607v1 [cs.LG]) http://arxiv.org/abs/2106.06607

Statistical Analysis from the Fourier Integral Theorem. (arXiv:2106.06608v1 [stat.ME]) http://arxiv.org/abs/2106.06608

Scalars are universal: Gauge-equivariant machine learning, structured like classical physics. (arXiv:2106.06610v1 [cs.LG]) http://arxiv.org/abs/2106.06610

Spatial Bayesian GLM on the cortical surface produces reliable task activations in individuals and groups. (arXiv:2106.06669v1 [stat.ME]) http://arxiv.org/abs/2106.06669

Examining Passenger Vehicle Miles Traveled and Carbon Emissions in the Boston Metropolitan Area. (arXiv:2106.06677v1 [cs.CY]) http://arxiv.org/abs/2106.06677

Scaling Vision with Sparse Mixture of Experts. (arXiv:2106.05974v1 [cs.CV]) http://arxiv.org/abs/2106.05974

Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition. (arXiv:2106.05992v1 [cs.LG]) http://arxiv.org/abs/2106.05992

Coordinate Independent Convolutional Networks -- Isometry and Gauge Equivariant Convolutions on Riemannian Manifolds. (arXiv:2106.06020v1 [cs.LG]) http://arxiv.org/abs/2106.06020

Convergence and Alignment of Gradient Descentwith Random Back propagation Weights. (arXiv:2106.06044v1 [stat.ML]) http://arxiv.org/abs/2106.06044

RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting. (arXiv:2106.06064v1 [stat.ML]) http://arxiv.org/abs/2106.06064

A Decentralized Adaptive Momentum Method for Solving a Class of Min-Max Optimization Problems. (arXiv:2106.06075v1 [math.OC]) http://arxiv.org/abs/2106.06075

A Nonmyopic Approach to Cost-Constrained Bayesian Optimization. (arXiv:2106.06079v1 [cs.LG]) http://arxiv.org/abs/2106.06079

Sparse Bayesian Learning via Stepwise Regression. (arXiv:2106.06095v1 [cs.LG]) http://arxiv.org/abs/2106.06095

Neural Optimization Kernel: Towards Robust Deep Learning. (arXiv:2106.06097v1 [stat.ML]) http://arxiv.org/abs/2106.06097

A Unified Framework for Constructing Nonconvex Regularizations. (arXiv:2106.06123v1 [stat.ML]) http://arxiv.org/abs/2106.06123

Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows. (arXiv:2106.05275v1 [stat.ML]) http://arxiv.org/abs/2106.05275

Stein Latent Optimization for GANs. (arXiv:2106.05319v1 [cs.LG]) http://arxiv.org/abs/2106.05319

Calculating the Likelihood Ratio for Multiple Pieces of Evidence. (arXiv:2106.05328v1 [stat.AP]) http://arxiv.org/abs/2106.05328