Papers
Scikit-network: Graph Analysis in Python
Thomas Bonald, Nathan de Lara, Quentin Lutz et al.
Self-paced Multi-view Co-training
Fan Ma, Deyu Meng, Xuanyi Dong et al.
Semi-parametric Learning of Structured Temporal Point Processes
Ganggang Xu, Ming Wang, Jiangze Bian et al.
Sequential change-point detection in high-dimensional Gaussian graphical models
Hossein Keshavarz, George Michaildiis, Yves Atchade
Significance Tests for Neural Networks
Enguerrand Horel, Kay Giesecke
Simultaneous Inference for Pairwise Graphical Models with Generalized Score Matching
Ming Yu, Varun Gupta, Mladen Kolar
Skill Rating for Multiplayer Games. Introducing Hypernode Graphs and their Spectral Theory
Thomas Ricatte, Rémi Gilleron, Marc Tommasi
Smoothed Nonparametric Derivative Estimation using Weighted Difference Quotients
Yu Liu, Kris De Brabanter
Sobolev Norm Learning Rates for Regularized Least-Squares Algorithms
Simon Fischer, Ingo Steinwart
Sparse and low-rank multivariate Hawkes processes
Emmanuel Bacry, Martin Bompaire, Stéphane Gaïffas et al.
Sparse Projection Oblique Randomer Forests
Tyler M. Tomita, James Browne, Cencheng Shen et al.
Spectral Algorithms for Community Detection in Directed Networks
Zhe Wang, Yingbin Liang, Pengsheng Ji
Spectral bandits
Tomáš Kocák, Rémi Munos, Branislav Kveton et al.
Spectral Deconfounding via Perturbed Sparse Linear Models
Domagoj Ćevid, Peter Bühlmann, Nicolai Meinshausen
Stable Regression: On the Power of Optimization over Randomization
Dimitris Bertsimas, Ivan Paskov
Stochastic Conditional Gradient Methods: From Convex Minimization to Submodular Maximization
Aryan Mokhtari, Hamed Hassani, Amin Karbasi
Stochastic Nested Variance Reduction for Nonconvex Optimization
Dongruo Zhou, Pan Xu, Quanquan Gu
Streamlined Variational Inference with Higher Level Random Effects
Tui H. Nolan, Marianne Menictas, Matt P. Wand
Successor Features Combine Elements of Model-Free and Model-based Reinforcement Learning
Lucas Lehnert, Michael L. Littman
Switching Regression Models and Causal Inference in the Presence of Discrete Latent Variables
Rune Christiansen, Jonas Peters
Target–Aware Bayesian Inference: How to Beat Optimal Conventional Estimators
Tom Rainforth, Adam Golinski, Frank Wood et al.
Targeted Fused Ridge Estimation of Inverse Covariance Matrices from Multiple High-Dimensional Data Classes
Anders Ellern Bilgrau, Carel F.W. Peeters, Poul Svante Eriksen et al.
Target Propagation in Recurrent Neural Networks
Nikolay Manchev, Michael Spratling
Tensor Regression Networks
Jean Kossaifi, Zachary C. Lipton, Arinbjorn Kolbeinsson et al.