Optimization

Stochastic Variance-Reduced Cubic Regularization Methods JMLR 2019 The Domain Transform Solver CVPR 2019 Trajectory of Alternating Direction Method of Multipliers and Adaptive Acceleration NeurIPS 2019 Trajectory Optimization for Cable-Driven Soft Robot Locomotion RSS 2019 Trivializations for Gradient-Based Optimization on Manifolds NeurIPS 2019 Variance Reduction for Matrix Games NeurIPS 2019 Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee AAAI 2019 ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization NeurIPS 2019 A Block Coordinate Ascent Algorithm for Mean-Variance Optimization NeurIPS 2018 Accelerated Spectral Ranking ICML 2018 Accelerated Stochastic Matrix Inversion: General Theory and Speeding up BFGS Rules for Faster Second-Order Optimization NeurIPS 2018 Accelerating Greedy Coordinate Descent Methods ICML 2018 ADMM and Accelerated ADMM as Continuous Dynamical Systems ICML 2018 A Dual Framework for Low-rank Tensor Completion NeurIPS 2018 Adversarial Task Assignment IJCAI 2018 A Generic Approach for Accelerating Stochastic Zeroth-Order Convex Optimization IJCAI 2018 Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs NeurIPS 2018 An Algorithmic Framework of Variable Metric Over-Relaxed Hybrid Proximal Extra-Gradient Method ICML 2018 Analysis of Krylov Subspace Solutions of Regularized Non-Convex Quadratic Problems NeurIPS 2018 A New and Flexible Approach to the Analysis of Paired Comparison Data JMLR 2018 An Iterative, Sketching-based Framework for Ridge Regression ICML 2018 An Order-based Algorithm for Learning Structure of Bayesian Networks PGM 2018 A Simple Proximal Stochastic Gradient Method for Nonsmooth Nonconvex Optimization NeurIPS 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