Papers
A Direct Approach for Sparse Quadratic Discriminant Analysis
Binyan Jiang, Xiangyu Wang, Chenlei Leng
Parallelizing Spectrally Regularized Kernel Algorithms
Nicole Mücke, Gilles Blanchard
Gradient Descent Learns Linear Dynamical Systems
Moritz Hardt, Tengyu Ma, Benjamin Recht
Generalized Rank-Breaking: Computational and Statistical Tradeoffs
Ashish Khetan, Sewoong Oh
Importance Sampling for Minibatches
Dominik Csiba, Peter Richtárik
OpenEnsembles: A Python Resource for Ensemble Clustering
Tom Ronan, Shawn Anastasio, Zhijie Qi et al.
Universal discrete-time reservoir computers with stochastic inputs and linear readouts using non-homogeneous state-affine systems
Lyudmila Grigoryeva, Juan-Pablo Ortega
Reverse Iterative Volume Sampling for Linear Regression
Michał Dereziński, Manfred K. Warmuth
Robust Synthetic Control
Muhammad Amjad, Devavrat Shah, Dennis Shen
ThunderSVM: A Fast SVM Library on GPUs and CPUs
Zeyi Wen, Jiashuai Shi, Qinbin Li et al.
Distributed Proximal Gradient Algorithm for Partially Asynchronous Computer Clusters
Yi Zhou, Yingbin Liang, Yaoliang Yu et al.
Dual Principal Component Pursuit
Manolis C. Tsakiris, René Vidal
Streaming kernel regression with provably adaptive mean, variance, and regularization
Audrey Durand, Odalric-Ambrym Maillard, Joelle Pineau
ELFI: Engine for Likelihood-Free Inference
Jarno Lintusaari, Henri Vuollekoski, Antti Kangasrääsiö et al.
Regularized Optimal Transport and the Rot Mover's Distance
Arnaud Dessein, Nicolas Papadakis, Jean-Luc Rouas
Model-Free Trajectory-based Policy Optimization with Monotonic Improvement
Riad Akrour, Abbas Abdolmaleki, Hany Abdulsamad et al.
A Robust Learning Approach for Regression Models Based on Distributionally Robust Optimization
Ruidi Chen, Ioannis Ch. Paschalidis
Statistical Analysis and Parameter Selection for Mapper
Mathieu Carrière, Bertrand Michel, Steve Oudot
A Constructive Approach to L_0 Penalized Regression
Jian Huang, Yuling Jiao, Yanyan Liu et al.
Experience Selection in Deep Reinforcement Learning for Control
Tim de Bruin, Jens Kober, Karl Tuyls et al.