Papers
Uncovering Causality from Multivariate Hawkes Integrated Cumulants
Massil Achab, Emmanuel Bacry, Stéphane Gaïffas et al.
KELP: a Kernel-based Learning Platform
Simone Filice, Giuseppe Castellucci, Giovanni Da San Martino et al.
Pycobra: A Python Toolbox for Ensemble Learning and Visualisation
Benjamin Guedj, Bhargav Srinivasa Desikan
Kernel Method for Persistence Diagrams via Kernel Embedding and Weight Factor
Genki Kusano, Kenji Fukumizu, Yasuaki Hiraoka
Significance-based community detection in weighted networks
John Palowitch, Shankar Bhamidi, Andrew B. Nobel
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
Itay Hubara, Matthieu Courbariaux, Daniel Soudry et al.
Submatrix localization via message passing
Bruce Hajek, Yihong Wu, Jiaming Xu
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization
Lisha Li, Kevin Jamieson, Giulia DeSalvo et al.
On Faster Convergence of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization
Xingguo Li, Tuo Zhao, Raman Arora et al.
Beyond the Hazard Rate: More Perturbation Algorithms for Adversarial Multi-armed Bandits
Zifan Li, Ambuj Tewari
Divide-and-Conquer for Debiased l_1-norm Support Vector Machine in Ultra-high Dimensions
Heng Lian, Zengyan Fan
To Tune or Not to Tune the Number of Trees in Random Forest
Philipp Probst, Anne-Laure Boulesteix
Mode-Seeking Clustering and Density Ridge Estimation via Direct Estimation of Density-Derivative-Ratios
Hiroaki Sasaki, Takafumi Kanamori, Aapo Hyvärinen et al.
Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity
Quanming Yao, James T. Kwok
On b-bit Min-wise Hashing for Large-scale Regression and Classification with Sparse Data
Rajen D. Shah, Nicolai Meinshausen
The DFS Fused Lasso: Linear-Time Denoising over General Graphs
Oscar Hernan Madrid Padilla, James Sharpnack, James G. Scott et al.
Maximum Likelihood Estimation for Mixtures of Spherical Gaussians is NP-hard
Christopher Tosh, Sanjoy Dasgupta
On the Stability of Feature Selection Algorithms
Sarah Nogueira, Konstantinos Sechidis, Gavin Brown
auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networks
Michael Freitag, Shahin Amiriparian, Sergey Pugachevskiy et al.
Convergence Analysis of Distributed Inference with Vector-Valued Gaussian Belief Propagation
Jian Du, Shaodan Ma, Yik-Chung Wu et al.
Convergence of Unregularized Online Learning Algorithms
Yunwen Lei, Lei Shi, Zheng-Chu Guo
In Search of Coherence and Consensus: Measuring the Interpretability of Statistical Topics
Fred Morstatter, Huan Liu