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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

Efficient Convex Optimization Requires Superlinear Memory COLT 2022
RECAPP: Crafting a More Efficient Catalyst for Convex Optimization ICML 2022
Only tails matter: Average-Case Universality and Robustness in the Convex Regime ICML 2022
Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets ICML 2022
Fixed Support Tree-Sliced Wasserstein Barycenter AISTATS 2022
Neural Fisher Discriminant Analysis: Optimal Neural Network Embeddings in Polynomial Time ICML 2022
TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels NIPS 2022
Optimization-Induced Graph Implicit Nonlinear Diffusion ICML 2022
Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers ICML 2022
Local Linear Convergence of Douglas-Rachford for Linear Programming: a Probabilistic Analysis ICML 2022
Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity NIPS 2022
The power of first-order smooth optimization for black-box non-smooth problems ICML 2022
On Regularized Square-root Regression Problems: Distributionally Robust Interpretation and Fast Computations JMLR 2022
An Algorithm for Learning Switched Linear Dynamics from Data NIPS 2022
The First Optimal Acceleration of High-Order Methods in Smooth Convex Optimization NIPS 2022
Implicit Differentiation for Fast Hyperparameter Selection in Non-Smooth Convex Learning JMLR 2022
Extensions to the Proximal Distance Method of Constrained Optimization JMLR 2022
Sum of Ranked Range Loss for Supervised Learning JMLR 2022
On Acceleration for Convex Composite Minimization with Noise-Corrupted Gradients and Approximate Proximal Mapping JMLR 2022
Project and Forget: Solving Large-Scale Metric Constrained Problems JMLR 2022
Efficient Low Rank Convex Bounds for Pairwise Discrete Graphical Models ICML 2022
Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction ICML 2022
Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods NIPS 2022
Beyond L1: Faster and Better Sparse Models with skglm NIPS 2022
Task-level Differentially Private Meta Learning NIPS 2022