← Keywords

convex optimization

1320 papers

Explore in graph

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

NysADMM: faster composite convex optimization via low-rank approximation ICML 2022
Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers ICML 2022
Accelerated Primal-Dual Gradient Method for Smooth and Convex-Concave Saddle-Point Problems with Bilinear Coupling NIPS 2022
Optimal Gradient Sliding and its Application to Optimal Distributed Optimization Under Similarity NIPS 2022
Faster Randomized Interior Point Methods for Tall/Wide Linear Programs JMLR 2022
CoNSoLe: Convex Neural Symbolic Learning NIPS 2022
Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets ICML 2022
Quantum Speedups of Optimizing Approximately Convex Functions with Applications to Logarithmic Regret Stochastic Convex Bandits NIPS 2022
On Regularized Square-root Regression Problems: Distributionally Robust Interpretation and Fast Computations JMLR 2022
On Acceleration for Convex Composite Minimization with Noise-Corrupted Gradients and Approximate Proximal Mapping JMLR 2022
Towards An Efficient Approach for the Nonconvex lp Ball Projection: Algorithm and Analysis JMLR 2022
Sum of Ranked Range Loss for Supervised Learning JMLR 2022
Implicit Differentiation for Fast Hyperparameter Selection in Non-Smooth Convex Learning JMLR 2022
Private Convex Optimization via Exponential Mechanism COLT 2022
Extensions to the Proximal Distance Method of Constrained Optimization JMLR 2022
Project and Forget: Solving Large-Scale Metric Constrained Problems JMLR 2022
Efficient Convex Optimization Requires Superlinear Memory COLT 2022
Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization AISTATS 2022
First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces NIPS 2022
Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm under Parallelization NIPS 2022
GemBag: Group Estimation of Multiple Bayesian Graphical Models JMLR 2021
From Low Probability to High Confidence in Stochastic Convex Optimization JMLR 2021
The ensmallen library for flexible numerical optimization JMLR 2021
A Geometric Structure of Acceleration and Its Role in Making Gradients Small Fast NIPS 2021
A Unified Analysis of First-Order Methods for Smooth Games via Integral Quadratic Constraints JMLR 2021