Convex Optimization

Project and Forget: Solving Large-Scale Metric Constrained Problems JMLR 2022 Safe Online Convex Optimization with Unknown Linear Safety Constraints AAAI 2022 Sampling Approximately Low-Rank Ising Models: MCMC meets Variational Methods COLT 2022 Solving L1-regularized SVMs and Related Linear Programs: Revisiting the Effectiveness of Column and Constraint Generation JMLR 2022 Steering vector correction in MVDR beamformer for speech enhancement Interspeech 2022 Stochastic subgradient for composite convex optimization with functional constraints JMLR 2022 Stochastic Variance Reduction for Variational Inequality Methods COLT 2022 Support Recovery in Sparse PCA with Incomplete Data NeurIPS 2022 The Burer-Monteiro SDP method can fail even above the Barvinok-Pataki bound NeurIPS 2022 The First Optimal Acceleration of High-Order Methods in Smooth Convex Optimization NeurIPS 2022 The First Optimal Algorithm for Smooth and Strongly-Convex-Strongly-Concave Minimax Optimization NeurIPS 2022 The power of first-order smooth optimization for black-box non-smooth problems ICML 2022 Towards An Efficient Approach for the Nonconvex lp Ball Projection: Algorithm and Analysis JMLR 2022 Understanding Riemannian Acceleration via a Proximal Extragradient Framework COLT 2022 Uniform Stability for First-Order Empirical Risk Minimization COLT 2022 Zeroth-Order Methods for Convex-Concave Min-max Problems: Applications to Decision-Dependent Risk Minimization AISTATS 2022 Zonotope Domains for Lagrangian Neural Network Verification NeurIPS 2022 Accelerated Algorithms for Smooth Convex-Concave Minimax Problems with O(1/k^2) Rate on Squared Gradient Norm ICML 2021 Accelerated Learning with Robustness to Adversarial Regressors L4DC 2021 Acceleration via Fractal Learning Rate Schedules ICML 2021 Adaptive First-Order Methods Revisited: Convex Minimization without Lipschitz Requirements NeurIPS 2021 Adaptive Gradient Methods for Constrained Convex Optimization and Variational Inequalities AAAI 2021 A Data Driven, Convex Optimization Approach to Learning Koopman Operators L4DC 2021 ADOM: Accelerated Decentralized Optimization Method for Time-Varying Networks ICML 2021 A Fast Globally Linearly Convergent Algorithm for the Computation of Wasserstein Barycenters JMLR 2021