Mathematics & Optimization

A Robust Learning Approach for Regression Models Based on Distributionally Robust Optimization JMLR 2018 A Robust Method for Strong Rolling Shutter Effects Correction Using Lines With Automatic Feature Selection CVPR 2018 Artificial Intelligence Conferences Closeness IJCAI 2018 ASAP: Fast, Approximate Graph Pattern Mining at Scale OSDI 2018 A Scalable Scheme for Counting Linear Extensions IJCAI 2018 A Simple Proximal Stochastic Gradient Method for Nonsmooth Nonconvex Optimization NeurIPS 2018 A Spectral Approach for the Design of Experiments: Design, Analysis and Algorithms JMLR 2018 A Spectral View of Adversarially Robust Features NeurIPS 2018 A Spline Theory of Deep Learning ICML 2018 A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop AISTATS 2018 A Structural Approach to Activity Selection IJCAI 2018 A Study of Argumentative Characterisations of Preferred Subtheories IJCAI 2018 A sum-product algorithm with polynomials for computing exact derivatives of the likelihood in Bayesian networks PGM 2018 ASVRG: Accelerated Proximal SVRG ACML 2018 Asymptotic optimality of adaptive importance sampling NeurIPS 2018 Asynchronous Decentralized Parallel Stochastic Gradient Descent ICML 2018 Asynchronous Doubly Stochastic Group Regularized Learning AISTATS 2018 Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization ICML 2018 A Temporally Sensitive Submodularity Framework for Timeline Summarization CoNLL 2018 A theory on the absence of spurious solutions for nonconvex and nonsmooth optimization NeurIPS 2018 A Tight Bound of Hard Thresholding JMLR 2018 ATOMO: Communication-efficient Learning via Atomic Sparsification NeurIPS 2018 A Two-Stage Penalized Least Squares Method for Constructing Large Systems of Structural Equations JMLR 2018 A Two-Step Computation of the Exact GAN Wasserstein Distance ICML 2018 A Unified Dynamic Approach to Sparse Model Selection AISTATS 2018