Mathematics & Optimization

Fair and Efficient Social Choice in Dynamic Settings IJCAI 2017 Fair Division of a Graph IJCAI 2017 Faithfulness of Probability Distributions and Graphs JMLR 2017 FALKON: An Optimal Large Scale Kernel Method NeurIPS 2017 Fast Bayesian Intensity Estimation for the Permanental Process ICML 2017 Fast Black-box Variational Inference through Stochastic Trust-Region Optimization NeurIPS 2017 Fast column generation for atomic norm regularization AISTATS 2017 Faster and Non-ergodic O(1/K) Stochastic Alternating Direction Method of Multipliers NeurIPS 2017 Faster Conflict Generation for Dynamic Controllability IJCAI 2017 Faster Coordinate Descent via Adaptive Importance Sampling AISTATS 2017 Fast(er) Exact Decoding and Global Training for Transition-Based Dependency Parsing via a Minimal Feature Set EMNLP 2017 Faster Greedy MAP Inference for Determinantal Point Processes ICML 2017 Faster Principal Component Regression and Stable Matrix Chebyshev Approximation ICML 2017 Fast Network Embedding Enhancement via High Order Proximity Approximation IJCAI 2017 Fast Rates for Bandit Optimization with Upper-Confidence Frank-Wolfe NeurIPS 2017 Fast Rates for Empirical Risk Minimization of Strict Saddle Problems COLT 2017 Fast, Sample-Efficient Algorithms for Structured Phase Retrieval NeurIPS 2017 Fast Sparse Gaussian Markov Random Fields Learning Based on Cholesky Factorization IJCAI 2017 Fast Stochastic Variance Reduced ADMM for Stochastic Composition Optimization IJCAI 2017 Feature Selection via Scaling Factor Integrated Multi-Class Support Vector Machines IJCAI 2017 Feedback Synthesis for Controllable Underactuated Systems using Sequential Second Order Actions RSS 2017 FFTLasso: Large-Scale LASSO in the Fourier Domain CVPR 2017 f-GANs in an Information Geometric Nutshell NeurIPS 2017 Filter Flow Made Practical: Massively Parallel and Lock-Free CVPR 2017 Finding Robust Solutions to Stable Marriage IJCAI 2017