论文列表及评分结果
Generalized Score Matching for Non-Negative Data.
电商所评分：6
Monotone Learning with Rectified Wire Networks.
电商所评分：6
Maximum Likelihood for Gaussian Process Classification and Generalized Linear Mixed Models under Case-Control Sampling.
电商所评分：3
Nonuniformity of P-values Can Occur Early in Diverging Dimensions.
电商所评分：4
Prediction Risk for the Horseshoe Regression.
电商所评分：10
Learning Unfaithful $K$-separable Gaussian Graphical Models.
电商所评分：7
Deep Exploration via Randomized Value Functions.
电商所评分：5
Learning Representations of Persistence Barcodes.
电商所评分：5
Embarrassingly Parallel Inference for Gaussian Processes.
电商所评分：7
Causal Learning via Manifold Regularization.
电商所评分：2
Unsupervised Basis Function Adaptation for Reinforcement Learning.
电商所评分：7
Best Arm Identification for Contaminated Bandits.
电商所评分：10
Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary Noise.
电商所评分：9
Pyro: Deep Universal Probabilistic Programming.
电商所评分：2
A Representer Theorem for Deep Neural Networks.
电商所评分：2
Time-to-Event Prediction with Neural Networks and Cox Regression.
电商所评分：3
Tunability: Importance of Hyperparameters of Machine Learning Algorithms.
电商所评分：9
AffectiveTweets: a Weka Package for Analyzing Affect in Tweets.
电商所评分：8
Quantification Under Prior Probability Shift: the Ratio Estimator and its Extensions.
电商所评分：10
An Efficient Two Step Algorithm for High Dimensional Change Point Regression Models Without Grid Search.
电商所评分：6
DBSCAN: Optimal Rates For Density-Based Cluster Estimation.
电商所评分：10
Deep Reinforcement Learning for Swarm Systems.
电商所评分：1
Collective Matrix Completion.
电商所评分：3
Shared Subspace Models for Multi-Group Covariance Estimation.
电商所评分：4
On Asymptotic and Finite-Time Optimality of Bayesian Predictors.
电商所评分：8
Logical Explanations for Deep Relational Machines Using Relevance Information.
电商所评分：9
Iterated Learning in Dynamic Social Networks.
电商所评分：8
iNNvestigate Neural Networks!
电商所评分：5
Simultaneous Private Learning of Multiple Concepts.
电商所评分：10
Decoupling Sparsity and Smoothness in the Dirichlet Variational Autoencoder Topic Model.
电商所评分：6