Papers
Distributed Inference for Linear Support Vector Machine
Xiaozhou Wang, Zhuoyi Yang, Xi Chen et al.
Measuring the Effects of Data Parallelism on Neural Network Training
Christopher J. Shallue, Jaehoon Lee, Joseph Antognini et al.
An Efficient Two Step Algorithm for High Dimensional Change Point Regression Models Without Grid Search
Abhishek Kaul, Venkata K. Jandhyala, Stergios B. Fotopoulos
A Representer Theorem for Deep Neural Networks
Michael Unser
Learning Unfaithful K-separable Gaussian Graphical Models
De Wen Soh, Sekhar Tatikonda
Maximum Likelihood for Gaussian Process Classification and Generalized Linear Mixed Models under Case-Control Sampling
Omer Weissbrod, Shachar Kaufman, David Golan et al.
Scalable Interpretable Multi-Response Regression via SEED
Zemin Zheng, M. Taha Bahadori, Yan Liu et al.
Solving the OSCAR and SLOPE Models Using a Semismooth Newton-Based Augmented Lagrangian Method
Ziyan Luo, Defeng Sun, Kim-Chuan Toh et al.
Optimal Transport: Fast Probabilistic Approximation with Exact Solvers
Max Sommerfeld, Jörn Schrieber, Yoav Zemel et al.
Complete Search for Feature Selection in Decision Trees
Salvatore Ruggieri
Regularization via Mass Transportation
Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Peyman Mohajerin Esfahani
Non-Convex Matrix Completion and Related Problems via Strong Duality
Maria-Florina Balcan, Yingyu Liang, Zhao Song et al.
Low Permutation-rank Matrices: Structural Properties and Noisy Completion
Nihar B. Shah, Sivaraman Balakrishnan, Martin J. Wainwright
Hamiltonian Monte Carlo with Energy Conserving Subsampling
Khue-Dung Dang, Matias Quiroz, Robert Kohn et al.
Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction
William Herlands, Daniel B. Neill, Hannes Nickisch et al.
Adaptive Geometric Multiscale Approximations for Intrinsically Low-dimensional Data
Wenjing Liao, Mauro Maggioni
Relative Error Bound Analysis for Nuclear Norm Regularized Matrix Completion
Lijun Zhang, Tianbao Yang, Rong Jin et al.
PyOD: A Python Toolbox for Scalable Outlier Detection
Yue Zhao, Zain Nasrullah, Zheng Li
High-Dimensional Poisson Structural Equation Model Learning via ℓ_1-Regularized Regression
Gunwoong Park, Sion Park
Simultaneous Private Learning of Multiple Concepts
Mark Bun, Kobbi Nissim, Uri Stemmer
iNNvestigate Neural Networks!
Maximilian Alber, Sebastian Lapuschkin, Philipp Seegerer et al.
AffectiveTweets: a Weka Package for Analyzing Affect in Tweets
Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer et al.
Best Arm Identification for Contaminated Bandits
Jason Altschuler, Victor-Emmanuel Brunel, Alan Malek
A Particle-Based Variational Approach to Bayesian Non-negative Matrix Factorization
Muhammad A Masood, Finale Doshi-Velez
Dependent relevance determination for smooth and structured sparse regression
Anqi Wu, Oluwasanmi Koyejo, Jonathan Pillow