Papers
Distributed Inference for Linear Support Vector Machine
Xiaozhou Wang, Zhuoyi Yang, Xi Chen et al.
DPPy: DPP Sampling with Python
Guillaume Gautier, Guillermo Polito, Rémi Bardenet et al.
DSCOVR: Randomized Primal-Dual Block Coordinate Algorithms for Asynchronous Distributed Optimization
Lin Xiao, Adams Wei Yu, Qihang Lin et al.
Dynamic Pricing in High-dimensions
Adel Javanmard, Hamid Nazerzadeh
Efficient augmentation and relaxation learning for individualized treatment rules using observational data
Ying-Qi Zhao, Eric B. Laber, Yang Ning et al.
Embarrassingly Parallel Inference for Gaussian Processes
Michael Minyi Zhang, Sinead A. Williamson
Exact Clustering of Weighted Graphs via Semidefinite Programming
Aleksis Pirinen, Brendan Ames
Fairness Constraints: A Flexible Approach for Fair Classification
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez et al.
Fast Automatic Smoothing for Generalized Additive Models
Yousra El-Bachir, Anthony C. Davison
Forward-Backward Selection with Early Dropping
Giorgos Borboudakis, Ioannis Tsamardinos
Gaussian Processes with Linear Operator Inequality Constraints
Christian Agrell
Generalized Maximum Entropy Estimation
Tobias Sutter, David Sutter, Peyman Mohajerin Esfahani et al.
Generalized Score Matching for Non-Negative Data
Shiqing Yu, Mathias Drton, Ali Shojaie
Generic Inference in Latent Gaussian Process Models
Edwin V. Bonilla, Karl Krauth, Amir Dezfouli
Graphical Lasso and Thresholding: Equivalence and Closed-form Solutions
Salar Fattahi, Somayeh Sojoudi
Graph Reduction with Spectral and Cut Guarantees
Andreas Loukas
GraSPy: Graph Statistics in Python
Jaewon Chung, Benjamin D. Pedigo, Eric W. Bridgeford et al.
Group Invariance, Stability to Deformations, and Complexity of Deep Convolutional Representations
Alberto Bietti, Julien Mairal
Hamiltonian Monte Carlo with Energy Conserving Subsampling
Khue-Dung Dang, Matias Quiroz, Robert Kohn et al.
High-Dimensional Poisson Structural Equation Model Learning via $\ell_1$-Regularized Regression
Gunwoong Park, Sion Park
High-dimensional Varying Index Coefficient Models via Stein's Identity
Sen Na, Zhuoran Yang, Zhaoran Wang et al.
iNNvestigate Neural Networks!
Maximilian Alber, Sebastian Lapuschkin, Philipp Seegerer et al.
Iterated Learning in Dynamic Social Networks
Bernard Chazelle, Chu Wang
Ivanov-Regularised Least-Squares Estimators over Large RKHSs and Their Interpolation Spaces
Stephen Page, Steffen Grünewälder
Joint PLDA for Simultaneous Modeling of Two Factors
Luciana Ferrer, Mitchell McLaren