arXiv Statistics @arxiv_stats@qoto.org

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

Pulling back information geometry. (arXiv:2106.05367v1 [cs.LG]) http://arxiv.org/abs/2106.05367

Robust Prediction Interval estimation for Gaussian Processes by Cross-Validation method. (arXiv:2106.05396v1 [stat.AP]) http://arxiv.org/abs/2106.05396

From inexact optimization to learning via gradient concentration. (arXiv:2106.05397v1 [stat.ML]) http://arxiv.org/abs/2106.05397

The Attraction Indian Buffet Distribution. (arXiv:2106.05403v1 [stat.ME]) http://arxiv.org/abs/2106.05403

Theoretical Modeling of Communication Dynamics. (arXiv:2106.05414v1 [physics.soc-ph]) http://arxiv.org/abs/2106.05414

Sign Consistency of the Generalized Elastic Net Estimator. (arXiv:2106.05454v1 [math.ST]) http://arxiv.org/abs/2106.05454

Mode recovery in neural autoregressive sequence modeling. (arXiv:2106.05459v1 [cs.LG]) http://arxiv.org/abs/2106.05459

Vector Quantized Models for Planning. (arXiv:2106.04615v1 [cs.LG]) http://arxiv.org/abs/2106.04615

Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style. (arXiv:2106.04619v1 [stat.ML]) http://arxiv.org/abs/2106.04619

Automatically Differentiable Random Coefficient Logistic Demand Estimation. (arXiv:2106.04636v1 [econ.EM]) http://arxiv.org/abs/2106.04636