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convex optimization

1320 papers

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Also known as

ACO ADMM CO OCO

Co-occurring keywords

stochastic optimization (1060) convergence rate (606) stochastic gradient descent (1088) gradient descent (1143) online learning (1770) support vector machine (976) matrix completion (356) regret bound (1918) kernel methods (1096) sparse optimization (246)

Papers

Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions ICML 2022
Handling Hard Affine SDP Shape Constraints in RKHSs JMLR 2022
Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks JMLR 2022
CoNSoLe: Convex Neural Symbolic Learning NIPS 2022
Accelerating Adaptive Cubic Regularization of Newton's Method via Random Sampling JMLR 2022
Joint Inference of Multiple Graphs from Matrix Polynomials JMLR 2022
Generalized Sparse Additive Models JMLR 2022
New Insights for the Multivariate Square-Root Lasso JMLR 2022
An Algorithm for Learning Switched Linear Dynamics from Data NIPS 2022
Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods NIPS 2022
Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity NIPS 2022
Faster Stochastic Algorithms for Minimax Optimization under Polyak-{\L}ojasiewicz Condition NIPS 2022
The First Optimal Acceleration of High-Order Methods in Smooth Convex Optimization NIPS 2022
Beyond L1: Faster and Better Sparse Models with skglm NIPS 2022
Optimal and Adaptive Monteiro-Svaiter Acceleration NIPS 2022
Sum of Ranked Range Loss for Supervised Learning JMLR 2022
Task-level Differentially Private Meta Learning NIPS 2022
Towards An Efficient Approach for the Nonconvex lp Ball Projection: Algorithm and Analysis JMLR 2022
Implicit Differentiation for Fast Hyperparameter Selection in Non-Smooth Convex Learning JMLR 2022
Optimal Comparator Adaptive Online Learning with Switching Cost NIPS 2022
Safety Guarantees for Neural Network Dynamic Systems via Stochastic Barrier Functions NIPS 2022
On Acceleration for Convex Composite Minimization with Noise-Corrupted Gradients and Approximate Proximal Mapping JMLR 2022
Learning Individualized Treatment Rules with Many Treatments: A Supervised Clustering Approach Using Adaptive Fusion NIPS 2022
Extensions to the Proximal Distance Method of Constrained Optimization JMLR 2022
Benign Underfitting of Stochastic Gradient Descent NIPS 2022