Mathematics & Optimization

A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming ICML 2018 A Constructive Approach to L_0 Penalized Regression JMLR 2018 A Convex Duality Framework for GANs NeurIPS 2018 A convex program for bilinear inversion of sparse vectors NeurIPS 2018 A COP Model for Graph-Constrained Coalition Formation (Extended Abstract) IJCAI 2018 AdaGeo: Adaptive Geometric Learning for Optimization and Sampling AISTATS 2018 Adaptation to Easy Data in Prediction with Limited Advice NeurIPS 2018 Adaptive Exploration-Exploitation Tradeoff for Opportunistic Bandits ICML 2018 Adaptive Group Testing Algorithms to Estimate the Number of Defectives ALT 2018 Adaptive Negative Curvature Descent with Applications in Non-convex Optimization NeurIPS 2018 Adaptive Online Learning in Dynamic Environments NeurIPS 2018 Adaptive Sampling for Coarse Ranking AISTATS 2018 Adaptive Three Operator Splitting ICML 2018 Adaptivity to Smoothness in X-armed bandits COLT 2018 A Decentralised Approach to Intersection Traffic Management IJCAI 2018 A Degeneracy Framework for Graph Similarity IJCAI 2018 A Delay-tolerant Proximal-Gradient Algorithm for Distributed Learning ICML 2018 A Distributed Second-Order Algorithm You Can Trust ICML 2018 ADMM and Accelerated ADMM as Continuous Dynamical Systems ICML 2018 A Document Descriptor using Covariance of Word Vectors ACL 2018 A Dual Framework for Low-rank Tensor Completion NeurIPS 2018 Adversarial Attacks on Stochastic Bandits NeurIPS 2018 Adversarially Robust Optimization with Gaussian Processes NeurIPS 2018 Adversarial Regression for Detecting Attacks in Cyber-Physical Systems IJCAI 2018 Adversarial Task Assignment IJCAI 2018