convex optimization

Accelerating Greedy Coordinate Descent Methods ICML 2018 Accelerating Stochastic Gradient Descent for Least Squares Regression COLT 2018 Acceleration through Optimistic No-Regret Dynamics NeurIPS 2018 A Certifiably Globally Optimal Solution to the Non-Minimal Relative Pose Problem CVPR 2018 A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming ICML 2018 A convex program for bilinear inversion of sparse vectors NeurIPS 2018 Adaptive Three Operator Splitting ICML 2018 A Generic Approach for Accelerating Stochastic Zeroth-Order Convex Optimization IJCAI 2018 An Algorithmic Framework of Variable Metric Over-Relaxed Hybrid Proximal Extra-Gradient Method ICML 2018 A Robust Learning Approach for Regression Models Based on Distributionally Robust Optimization JMLR 2018 ASVRG: Accelerated Proximal SVRG ACML 2018 Blind Deconvolutional Phase Retrieval via Convex Programming NeurIPS 2018 Byzantine Stochastic Gradient Descent NeurIPS 2018 Catalyst Acceleration for First-order Convex Optimization: from Theory to Practice JMLR 2018 Causal Structure Learning via Temporal Markov Networks PGM 2018 Celer: a Fast Solver for the Lasso with Dual Extrapolation ICML 2018 Clustering is semidefinitely not that hard: Nonnegative SDP for manifold disentangling JMLR 2018 Compact Convex Projections JMLR 2018 Computational Optimal Transport: Complexity by Accelerated Gradient Descent Is Better Than by Sinkhorn’s Algorithm ICML 2018 Convex Elicitation of Continuous Properties NeurIPS 2018 Convex Optimization over Intersection of Simple Sets: improved Convergence Rate Guarantees via an Exact Penalty Approach AISTATS 2018 Convex Optimization with Unbounded Nonconvex Oracles using Simulated Annealing COLT 2018 Convolutional Imputation of Matrix Networks ICML 2018 Data-Dependent Stability of Stochastic Gradient Descent ICML 2018 Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters NeurIPS 2018