convex optimization

Policy Poisoning in Batch Reinforcement Learning and Control NeurIPS 2019 Preferred Deals in General Environments IJCAI 2019 Primal-Dual Block Generalized Frank-Wolfe NeurIPS 2019 Projection Free Online Learning over Smooth Sets AISTATS 2019 Proximal Distance Algorithms: Theory and Practice JMLR 2019 Regularized Weighted Low Rank Approximation NeurIPS 2019 Relative Error Bound Analysis for Nuclear Norm Regularized Matrix Completion JMLR 2019 Restarting Frank-Wolfe AISTATS 2019 Robust exploration in linear quadratic reinforcement learning NeurIPS 2019 Robust Low-Tubal-Rank Tensor Completion via Convex Optimization IJCAI 2019 RSN: Randomized Subspace Newton NeurIPS 2019 Safe Convex Learning under Uncertain Constraints AISTATS 2019 Sampling and Optimization on Convex Sets in Riemannian Manifolds of Non-Negative Curvature COLT 2019 Semi-Cyclic Stochastic Gradient Descent ICML 2019 SGD without Replacement: Sharper Rates for General Smooth Convex Functions ICML 2019 Solving Empirical Risk Minimization in the Current Matrix Multiplication Time COLT 2019 Stochastic Frank-Wolfe for Composite Convex Minimization NeurIPS 2019 Structured Prediction with Projection Oracles NeurIPS 2019 SVM-Based Deep Stacking Networks AAAI 2019 Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets JMLR 2019 Universality in Learning from Linear Measurements NeurIPS 2019 UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization NeurIPS 2019 Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee AAAI 2019 Accelerated Difference of Convex functions Algorithm and its Application to Sparse Binary Logistic Regression IJCAI 2018 Accelerated Stochastic Mirror Descent: From Continuous-time Dynamics to Discrete-time Algorithms AISTATS 2018