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 Minimization of Expected Logarithmic Loss via Stochastic Dual Averaging AISTATS 2024

Optimal Classification under Performative Distribution Shift NIPS 2024

Optimal Transport with Cyclic Symmetry AAAI 2024

Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems AAAI 2024

Scalable Distance-based Multi-Agent Relative State Estimation via Block Multiconvex Optimization RSS 2024

Scaling the Convex Barrier with Sparse Dual Algorithms JMLR 2024

Tight Rates for Bandit Control Beyond Quadratics NIPS 2024

Optimization Algorithm Design via Electric Circuits NIPS 2024

PROMISE: Preconditioned Stochastic Optimization Methods by Incorporating Scalable Curvature Estimates JMLR 2024

Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD NIPS 2024

Gaussian Cooling and Dikin Walks: The Interior-Point Method for Logconcave Sampling COLT 2024

Faster Convergence with MultiWay Preferences AISTATS 2024

Distributed on-the-fly control of multi-agent systems with unknown dynamics: Using limited data to obtain near-optimal control L4DC 2024

Adaptive Quasi-Newton and Anderson Acceleration Framework with Explicit Global (Accelerated) Convergence Rates AISTATS 2024

Convex neural network synthesis for robustness in the 1-norm L4DC 2024

Jolteon: Unleashing the Promise of Serverless for Serverless Workflows NSDI 2024

Privacy Amplification by Iteration for ADMM with (Strongly) Convex Objective Functions AAAI 2024

Safe dynamic pricing for nonstationary network resource allocation L4DC 2024

Implicit Graph Search for Planning on Graphs of Convex Sets RSS 2024

skscope: Fast Sparsity-Constrained Optimization in Python JMLR 2024

Gradient-Variation Online Learning under Generalized Smoothness NIPS 2024

General Tail Bounds for Non-Smooth Stochastic Mirror Descent AISTATS 2024

Stochastic Newton Proximal Extragradient Method NIPS 2024

Multi-modal conformal prediction regions by optimizing convex shape templates L4DC 2024

Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares Extended Abstract COLT 2024