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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

Faster Convergence with MultiWay Preferences AISTATS 2024
Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions NIPS 2024
Towards Sharper Risk Bounds for Minimax Problems IJCAI 2024
Safe and Efficient: A Primal-Dual Method for Offline Convex CMDPs under Partial Data Coverage NIPS 2024
Near-Optimal Convex Simple Bilevel Optimization with a Bisection Method AISTATS 2024
Online Structured Prediction with Fenchel–Young Losses and Improved Surrogate Regret for Online Multiclass Classification with Logistic Loss COLT 2024
John Ellipsoids via Lazy Updates NIPS 2024
Convexity Certificates for Symbolic Tensor Expressions IJCAI 2024
Minimizing Convex Functionals over Space of Probability Measures via KL Divergence Gradient Flow AISTATS 2024
Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate AISTATS 2024
PROMISE: Preconditioned Stochastic Optimization Methods by Incorporating Scalable Curvature Estimates JMLR 2024
Learning Safety Constraints from Demonstrations with Unknown Rewards AISTATS 2024
The Reliability of OKRidge Method in Solving Sparse Ridge Regression Problems NIPS 2024
Optimization Algorithm Design via Electric Circuits NIPS 2024
Lower Complexity Bounds of Finite-Sum Optimization Problems: The Results and Construction JMLR 2024
Differentially Private Optimization with Sparse Gradients NIPS 2024
Unsupervised Model-Based Learning for Simultaneous Video Deflickering and Deblotching WACV 2024
Scaling the Convex Barrier with Sparse Dual Algorithms JMLR 2024
Wasserstein Proximal Coordinate Gradient Algorithms JMLR 2024
On Convex Optimization with Semi-Sensitive Features COLT 2024
An effective framework for estimating individualized treatment rules NIPS 2024
Near-Optimal Distributed Minimax Optimization under the Second-Order Similarity NIPS 2024
Log-concave Sampling from a Convex Body with a Barrier: a Robust and Unified Dikin Walk NIPS 2024
The Nyström method for convex loss functions JMLR 2024
Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families AAAI 2024