Show newer

Asymptotic Normality and Variance Estimation For Supervised Ensembles. (arXiv:1912.01089v1 [stat.ML]) arxiv.org/abs/1912.01089

Recovering from Biased Data: Can Fairness Constraints Improve Accuracy?. (arXiv:1912.01094v1 [cs.LG]) arxiv.org/abs/1912.01094

Semi-Supervised Learning of Bearing Anomaly Detection via Deep Variational Autoencoders. (arXiv:1912.01096v1 [cs.LG]) arxiv.org/abs/1912.01096

Using Dimensionality Reduction to Optimize t-SNE. (arXiv:1912.01098v1 [cs.LG]) arxiv.org/abs/1912.01098

Latent Replay for Real-Time Continual Learning. (arXiv:1912.01100v1 [cs.LG]) arxiv.org/abs/1912.01100

On Distance and Kernel Measures of Conditional Independence. (arXiv:1912.01103v1 [math.ST]) arxiv.org/abs/1912.01103

Clustering via Ant Colonies: Parameter Analysis and Improvement of the Algorithm. (arXiv:1912.01105v1 [stat.ML]) arxiv.org/abs/1912.01105

Diagnostic Curves for Black Box Models. (arXiv:1912.01108v1 [cs.LG]) arxiv.org/abs/1912.01108

On the Vietnamese Name Entity Recognition: A Deep Learning Method Approach. (arXiv:1912.01109v1 [cs.CL]) arxiv.org/abs/1912.01109

A Case for the Score: Identifying Image Anomalies using Variational Autoencoder Gradients. (arXiv:1912.00003v1 [eess.IV]) arxiv.org/abs/1912.00003

MSTDP: A More Biologically Plausible Learning. (arXiv:1912.00009v1 [cs.NE]) arxiv.org/abs/1912.00009

Diagnostic checking in FARIMA models with uncorrelated but non-independent error terms. (arXiv:1912.00013v1 [stat.AP]) arxiv.org/abs/1912.00013

Efficient Approximate Inference with Walsh-Hadamard Variational Inference. (arXiv:1912.00015v1 [stat.ML]) arxiv.org/abs/1912.00015

On the Heavy-Tailed Theory of Stochastic Gradient Descent for Deep Neural Networks. (arXiv:1912.00018v1 [stat.ML]) arxiv.org/abs/1912.00018

Model Embedded DRL for Intelligent Greenhouse Control. (arXiv:1912.00020v1 [cs.LG]) arxiv.org/abs/1912.00020

Generalized inferential models for censored data. (arXiv:1912.00037v1 [stat.ME]) arxiv.org/abs/1912.00037

Net benefit separation and the determination curve: a probabilistic framework for cost-effectiveness estimation. (arXiv:1912.00039v1 [stat.ME]) arxiv.org/abs/1912.00039

Learning Likelihoods with Conditional Normalizing Flows. (arXiv:1912.00042v1 [cs.LG]) arxiv.org/abs/1912.00042

Barcodes as summary of objective function's topology. (arXiv:1912.00043v1 [cs.LG]) arxiv.org/abs/1912.00043

Goodness-of-fit test for the bivariate Hermite distribution. (arXiv:1911.12400v1 [math.ST]) arxiv.org/abs/1911.12400

Show older
Qoto Mastodon

QOTO: Question Others to Teach Ourselves
An inclusive, Academic Freedom, instance
All cultures welcome.
Hate speech and harassment strictly forbidden.