arXiv Statistics @arxiv_stats@qoto.org

Manifold GPLVMs for discovering non-Euclidean latent structure in neural data. (arXiv:2006.07429v1 [stat.ML]) http://arxiv.org/abs/2006.07429

The Difficult Task of Distribution Generalization in Nonlinear Models. (arXiv:2006.07433v1 [stat.ME]) http://arxiv.org/abs/2006.07433

An Empirical Bayes Approach to Graphon Estimation. (arXiv:2006.07435v1 [stat.ME]) http://arxiv.org/abs/2006.07435

Attentive Feature Reuse for Multi Task Meta learning. (arXiv:2006.07438v1 [cs.LG]) http://arxiv.org/abs/2006.07438

Self-Imitation Learning via Generalized Lower Bound Q-learning. (arXiv:2006.07442v1 [cs.LG]) http://arxiv.org/abs/2006.07442

Fast Maximum Likelihood Estimation and Supervised Classification for the Beta-Liouville Multinomial. (arXiv:2006.07454v1 [stat.ML]) http://arxiv.org/abs/2006.07454

Detangling robustness in high dimensions: composite versus model-averaged estimation. (arXiv:2006.07457v1 [math.ST]) http://arxiv.org/abs/2006.07457

Towards Early Diagnosis of Epilepsy from EEG Data. (arXiv:2006.06675v1 [cs.LG]) http://arxiv.org/abs/2006.06675

Training Generative Adversarial Networks with Limited Data. (arXiv:2006.06676v1 [cs.CV]) http://arxiv.org/abs/2006.06676

On the asymptotics of wide networks with polynomial activations. (arXiv:2006.06687v1 [cs.LG]) http://arxiv.org/abs/2006.06687

End-to-end Sinkhorn Autoencoder with Noise Generator. (arXiv:2006.06704v1 [cs.LG]) http://arxiv.org/abs/2006.06704

Optimizing generalization on the train set: a novel gradient-based framework to train parameters and hyperparameters simultaneously. (arXiv:2006.06705v1 [cs.LG]) http://arxiv.org/abs/2006.06705

Extreme data compression while searching for new physics. (arXiv:2006.06706v1 [astro-ph.CO]) http://arxiv.org/abs/2006.06706

Learning to Learn Kernels with Variational Random Features. (arXiv:2006.06707v1 [cs.LG]) http://arxiv.org/abs/2006.06707

A new measure for overfitting and its implications for backdooring of deep learning. (arXiv:2006.06721v1 [cs.LG]) http://arxiv.org/abs/2006.06721

Deep Reinforcement Learning for Electric Transmission Voltage Control. (arXiv:2006.06728v1 [cs.LG]) http://arxiv.org/abs/2006.06728

Weak variable step-size Euler schemes for stochastic differential equations based on controlling conditional moments. (arXiv:2006.06729v1 [math.PR]) http://arxiv.org/abs/2006.06729

Higher-order interactions in statistical physics and machine learning: A non-parametric solution to the inverse problem. (arXiv:2006.06010v1 [stat.ME]) http://arxiv.org/abs/2006.06010

Convergence of Pseudo-Bayes Factors in Forward and Inverse Regression Problems. (arXiv:2006.06020v1 [math.ST]) http://arxiv.org/abs/2006.06020

Learning normalizing flows from Entropy-Kantorovich potentials. (arXiv:2006.06033v1 [cs.LG]) http://arxiv.org/abs/2006.06033